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12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Solutions <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 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Link--secondary" data-analytics-event="{"location":"navbar","action":"view_all_industries","context":"solutions","tag":"link","label":"view_all_industries_link_solutions_navbar"}" href="/solutions/industry"> View all industries </a></li> </ul> </div> </div> <div class="HeaderMenu-trailing-link rounded-bottom-2 flex-shrink-0 mt-lg-4 px-lg-4 py-4 py-lg-3 f5 text-semibold"> <a href="/solutions"> View all solutions <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-right HeaderMenu-trailing-link-icon"> <path d="M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z"></path> </svg> </a> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Resources <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="resources-topics-heading">Topics</span> <ul 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data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"executive_insights","context":"resources","tag":"link","label":"executive_insights_link_resources_navbar"}" href="https://github.com/solutions/executive-insights"> Executive Insights </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Open Source <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"github_sponsors","context":"open_source","tag":"link","label":"github_sponsors_link_open_source_navbar"}" href="/sponsors"> <div> <div class="color-fg-default h4">GitHub Sponsors</div> Fund open source developers </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"the_readme_project","context":"open_source","tag":"link","label":"the_readme_project_link_open_source_navbar"}" href="https://github.com/readme"> <div> <div class="color-fg-default h4">The ReadME Project</div> GitHub community articles </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="open-source-repositories-heading">Repositories</span> <ul class="list-style-none f5" aria-labelledby="open-source-repositories-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"topics","context":"open_source","tag":"link","label":"topics_link_open_source_navbar"}" href="https://github.com/topics"> Topics </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"trending","context":"open_source","tag":"link","label":"trending_link_open_source_navbar"}" href="https://github.com/trending"> Trending </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" 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1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="custom-scopes-dialog-title"> <div data-view-component="true" class="Overlay-body"> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <div hidden class="create-custom-scope-form" data-target="custom-scopes.createCustomScopeForm"> </option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="5WOMf+r6axmY+Uky1kaj/lHnpdsYvDFgjz8DzgU2c+eYNWF+vV4ClCOMElmttH0dNzzZmWFDQr1oDT2lj0NPOw==" /> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <input type="hidden" id="custom_scope_id" name="custom_scope_id" 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dir=\"auto\"\u003eMATLAB\u003c/h2\u003e\u003ca id=\"user-content-matlab\" class=\"anchor\" aria-label=\"Permalink: MATLAB\" href=\"#matlab\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth align=\"center\"\u003e❗ If you get a 'Segmentation fault' error when calling MATLAB with version R2022 or newer, try using an \u003ca href=\"https://github.com/JuliaInterop/MATLAB.jl#changing-matlab-version\"\u003eolder version\u003c/a\u003e of MATLAB. ❗\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cp dir=\"auto\"\u003eThe \u003ccode\u003eMATLAB.jl\u003c/code\u003e package provides an interface for using \u003ca href=\"http://www.mathworks.com/products/matlab/\" rel=\"nofollow\"\u003eMATLAB®\u003c/a\u003e from \u003ca href=\"http://julialang.org\" rel=\"nofollow\"\u003eJulia\u003c/a\u003e using the MATLAB C api. In other words, this package allows users to call MATLAB functions within Julia, thus making it easy to interoperate with MATLAB from the Julia language.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou cannot use \u003ccode\u003eMATLAB.jl\u003c/code\u003e without having purchased and installed a copy of MATLAB® from \u003ca href=\"http://www.mathworks.com/\" rel=\"nofollow\"\u003eMathWorks\u003c/a\u003e. This package is available free of charge and in no way replaces or alters any functionality of MathWorks's MATLAB product.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOverview\u003c/h2\u003e\u003ca id=\"user-content-overview\" class=\"anchor\" aria-label=\"Permalink: Overview\" href=\"#overview\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis package is composed of two aspects:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eCreating and manipulating mxArrays (the data structure that MATLAB used to represent arrays and other kinds of data)\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eCommunicating with MATLAB engine sessions\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eWarning\u003c/strong\u003e:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eMATLAB string arrays are not supported, and will throw an error exception. This also applies if they are nested within a MATLAB struct. This is a limitation of the MATLAB C api. The MATLAB function \u003ccode\u003econvertContainedStringsToChars\u003c/code\u003e may be used to facilitate conversion to a compatible format for use with \u003ccode\u003eMATLAB.jl\u003c/code\u003e.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eThreading is also not supported within Julia when using the MATLAB.jl library.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstallation\u003c/h2\u003e\u003ca id=\"user-content-installation\" class=\"anchor\" aria-label=\"Permalink: Installation\" href=\"#installation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eImportant\u003c/strong\u003e: The procedure to setup this package consists of the following steps.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eWindows\u003c/h3\u003e\u003ca id=\"user-content-windows\" class=\"anchor\" aria-label=\"Permalink: Windows\" href=\"#windows\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eFor Matlab R2020a onwards, you should be able to go directly to step 2. If you encounter issues, run \u003ccode\u003ematlab -batch \"comserver('register')\"\u003c/code\u003e in the command prompt. For earlier versions of Matlab, start a command prompt as an administrator and enter \u003ccode\u003ematlab /regserver\u003c/code\u003e. Alternatively, you can do the same using the MATLAB GUI. To do this, open MATLAB with administrative privileges and run the following command in the MATLAB command window: \u003ccode\u003e!matlab -regserver\u003c/code\u003e. Close MATLAB and restart Julia.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eFrom Julia run: \u003ccode\u003ePkg.add(\"MATLAB\")\u003c/code\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLinux\u003c/h3\u003e\u003ca id=\"user-content-linux\" class=\"anchor\" aria-label=\"Permalink: Linux\" href=\"#linux\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eMake sure \u003ccode\u003ematlab\u003c/code\u003e is in executable path.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eMake sure \u003ccode\u003ecsh\u003c/code\u003e is installed. (Note: MATLAB for Linux relies on \u003ccode\u003ecsh\u003c/code\u003e to open an engine session.)\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTo install \u003ccode\u003ecsh\u003c/code\u003e in Debian/Ubuntu/Linux Mint, you may type in the following command in terminal:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"sudo apt-get install csh\"\u003e\u003cpre\u003esudo apt-get install csh\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eFrom Julia run: \u003ccode\u003ePkg.add(\"MATLAB\")\u003c/code\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003eIf you experience problems when starting the MATLAB engine with versions R2022 or R2023, try to \u003ca href=\"https://se.mathworks.com/help/matlab/matlab_env/check-for-software-updates.html\" rel=\"nofollow\"\u003eupdate\u003c/a\u003e your MATLAB release.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMac OS X\u003c/h3\u003e\u003ca id=\"user-content-mac-os-x\" class=\"anchor\" aria-label=\"Permalink: Mac OS X\" href=\"#mac-os-x\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eEnsure that MATLAB is installed in \u003ccode\u003e/Applications\u003c/code\u003e (for example, if you are using MATLAB R2012b, you may add the following command to \u003ccode\u003e.profile\u003c/code\u003e: \u003ccode\u003eexport MATLAB_HOME=/Applications/MATLAB_R2012b.app\u003c/code\u003e).\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eFrom Julia run: \u003ccode\u003ePkg.add(\"MATLAB\")\u003c/code\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eChanging MATLAB version\u003c/h2\u003e\u003ca id=\"user-content-changing-matlab-version\" class=\"anchor\" aria-label=\"Permalink: Changing MATLAB version\" href=\"#changing-matlab-version\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eBy default, \u003ccode\u003eMATLAB.jl\u003c/code\u003e is built using the MATLAB installation with the greatest version number. To specify that a specific MATLAB installation should be used, set the environment variable \u003ccode\u003eMATLAB_ROOT\u003c/code\u003e:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"julia\u0026gt; ENV[\u0026quot;MATLAB_ROOT\u0026quot;] = \u0026quot;/usr/local/MATLAB/R2021b\u0026quot; # example on a Linux machine\"\u003e\u003cpre\u003ejulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eENV\u003c/span\u003e[\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eMATLAB_ROOT\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e] \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e/usr/local/MATLAB/R2021b\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e example on a Linux machine\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"julia\u0026gt; ENV[\u0026quot;MATLAB_ROOT\u0026quot;] = raw\u0026quot;C:\\Program Files\\MATLAB\\R2021b\u0026quot; # example on a Windows machine\"\u003e\u003cpre\u003ejulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eENV\u003c/span\u003e[\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eMATLAB_ROOT\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e] \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-c1\"\u003eraw\u003c/span\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eC:\u003cspan class=\"pl-cce\"\u003e\\P\u003c/span\u003erogram Files\u003cspan class=\"pl-cce\"\u003e\\M\u003c/span\u003eATLAB\u003cspan class=\"pl-cce\"\u003e\\R\u003c/span\u003e2021b\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e example on a Windows machine\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eReplace the path string with the location of the MATLAB folder on your machine. You need to set the path to the \u003ccode\u003eR20XX\u003c/code\u003e folder, not the \u003ccode\u003ematlab\u003c/code\u003e binary.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you had the package \u003ccode\u003eMATLAB.jl\u003c/code\u003e already installed and built before changing the environment variable, you will need to rebuild it to apply the change:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"julia\u0026gt; using Pkg; Pkg.build(\u0026quot;MATLAB\u0026quot;)\"\u003e\u003cpre\u003ejulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eusing\u003c/span\u003e Pkg; Pkg\u003cspan class=\"pl-k\"\u003e.\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003ebuild\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eMATLAB\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNotes for Windows Users\u003c/h3\u003e\u003ca id=\"user-content-notes-for-windows-users\" class=\"anchor\" aria-label=\"Permalink: Notes for Windows Users\" href=\"#notes-for-windows-users\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you are using Windows, MATLAB needs to register its COM interface to properly work with MATLAB.jl. This should happen automatically during installation, but if you encounter issues, you can manually re-register MATLAB (with the version you want to use). To do this\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003eOpen a MATLAB window with administrative privileges\u003c/li\u003e\n\u003cli\u003eRun the following command in the MATLAB command window: \u003ccode\u003e!matlab -regserver\u003c/code\u003e\u003c/li\u003e\n\u003cli\u003eClose MATLAB and restart Julia\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-alert markdown-alert-important\" dir=\"auto\"\u003e\u003cp class=\"markdown-alert-title\" dir=\"auto\"\u003e\u003csvg class=\"octicon octicon-report mr-2\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"M0 1.75C0 .784.784 0 1.75 0h12.5C15.216 0 16 .784 16 1.75v9.5A1.75 1.75 0 0 1 14.25 13H8.06l-2.573 2.573A1.458 1.458 0 0 1 3 14.543V13H1.75A1.75 1.75 0 0 1 0 11.25Zm1.75-.25a.25.25 0 0 0-.25.25v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25Zm7 2.25v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 9a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z\"\u003e\u003c/path\u003e\u003c/svg\u003eImportant\u003c/p\u003e\u003cp dir=\"auto\"\u003eThe version of MATLAB that is registered must be same that \u003ccode\u003eMATLAB.jl\u003c/code\u003e uses.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eUsage\u003c/h2\u003e\u003ca id=\"user-content-usage\" class=\"anchor\" aria-label=\"Permalink: Usage\" href=\"#usage\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMxArray class\u003c/h3\u003e\u003ca id=\"user-content-mxarray-class\" class=\"anchor\" aria-label=\"Permalink: MxArray class\" href=\"#mxarray-class\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAn instance of \u003ccode\u003eMxArray\u003c/code\u003e encapsulates a MATLAB variable. This package provides a series of functions to manipulate such instances.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCreate MATLAB variables in Julia\u003c/h4\u003e\u003ca id=\"user-content-create-matlab-variables-in-julia\" class=\"anchor\" aria-label=\"Permalink: Create MATLAB variables in Julia\" href=\"#create-matlab-variables-in-julia\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOne can use the function \u003ccode\u003emxarray\u003c/code\u003e to create MATLAB variables (of type \u003ccode\u003eMxArray\u003c/code\u003e), as follows\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"mxarray(Float64, n) # creates an n-by-1 MATLAB zero array of double valued type\nmxarray(Int32, m, n) # creates an m-by-n MATLAB zero array of int32 valued type\nmxarray(Bool, m, n) # creates a MATLAB logical array of size m-by-n\n\nmxarray(Float64, (n1, n2, n3)) # creates a MATLAB array of size n1-by-n2-by-n3\n\nmxcellarray(m, n) # creates a MATLAB cell array\nmxstruct(\u0026quot;a\u0026quot;, \u0026quot;b\u0026quot;, \u0026quot;c\u0026quot;) # creates a MATLAB struct with given fields\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(Float64, n) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates an n-by-1 MATLAB zero array of double valued type\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(Int32, m, n) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates an m-by-n MATLAB zero array of int32 valued type\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(Bool, m, n) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB logical array of size m-by-n\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(Float64, (n1, n2, n3)) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB array of size n1-by-n2-by-n3\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003emxcellarray\u003c/span\u003e(m, n) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB cell array\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003emxstruct\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ea\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eb\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ec\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB struct with given fields\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou may also convert a Julia variable to MATLAB variable\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"a = rand(m, n)\n\nx = mxarray(a) # converts a to a MATLAB array\nx = mxarray(1.2) # converts a scalar 1.2 to a MATLAB variable\n\na = sprand(m, n, 0.1)\nx = mxarray(a) # converts a sparse matrix to a MATLAB sparse matrix\n\nx = mxarray(\u0026quot;abc\u0026quot;) # converts a string to a MATLAB char array\n\nx = mxarray([\u0026quot;a\u0026quot;, 1, 2.3]) # converts a Julia array to a MATLAB cell array\n\nx = mxarray(Dict(\u0026quot;a\u0026quot;=\u0026gt;1, \u0026quot;b\u0026quot;=\u0026gt;\u0026quot;string\u0026quot;, \u0026quot;c\u0026quot;=\u0026gt;[1,2,3])) # converts a Julia dictionary to a MATLAB struct\"\u003e\u003cpre\u003ea \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003erand\u003c/span\u003e(m, n)\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(a) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts a to a MATLAB array\u003c/span\u003e\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e1.2\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts a scalar 1.2 to a MATLAB variable\u003c/span\u003e\n\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003esprand\u003c/span\u003e(m, n, \u003cspan class=\"pl-c1\"\u003e0.1\u003c/span\u003e)\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(a) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts a sparse matrix to a MATLAB sparse matrix\u003c/span\u003e\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eabc\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts a string to a MATLAB char array\u003c/span\u003e\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e([\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ea\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e2.3\u003c/span\u003e]) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts a Julia array to a MATLAB cell array\u003c/span\u003e\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003eDict\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ea\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e=\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eb\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e=\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003estring\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ec\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e=\u0026gt;\u003c/span\u003e[\u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e,\u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e,\u003cspan class=\"pl-c1\"\u003e3\u003c/span\u003e])) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts a Julia dictionary to a MATLAB struct\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe function \u003ccode\u003emxarray\u003c/code\u003e can also convert a compound type to a Julia struct:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"struct S\n x::Float64\n y::Vector{Int32}\n z::Bool\nend\n\ns = S(1.2, Int32[1, 2], false)\n\nx = mxarray(s) # creates a MATLAB struct with three fields: x, y, z\nxc = mxarray([s, s]) # creates a MATLAB cell array, each cell is a struct.\nxs = mxstructarray([s, s]) # creates a MATLAB array of structs\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003estruct\u003c/span\u003e S\n x\u003cspan class=\"pl-k\"\u003e::\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eFloat64\u003c/span\u003e\n y\u003cspan class=\"pl-k\"\u003e::\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eVector{Int32}\u003c/span\u003e\n z\u003cspan class=\"pl-k\"\u003e::\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eBool\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eend\u003c/span\u003e\n\ns \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eS\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e1.2\u003c/span\u003e, Int32[\u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e], \u003cspan class=\"pl-c1\"\u003efalse\u003c/span\u003e)\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e(s) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB struct with three fields: x, y, z\u003c/span\u003e\nxc \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxarray\u003c/span\u003e([s, s]) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB cell array, each cell is a struct.\u003c/span\u003e\nxs \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxstructarray\u003c/span\u003e([s, s]) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB array of structs\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eNote:\u003c/strong\u003e For safety, the conversation between MATLAB and Julia variables uses deep copy.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWhen you finish using a MATLAB variable, you may call \u003ccode\u003edelete\u003c/code\u003e to free the memory. But this is optional, it will be deleted when reclaimed by the garbage collector.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"delete(x)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c1\"\u003edelete\u003c/span\u003e(x)\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cem\u003eNote:\u003c/em\u003e if you put a MATLAB variable \u003ccode\u003ex\u003c/code\u003e to MATLAB engine session, then the MATLAB engine will take over the management of its life cylce, and you don't have to delete it explicitly.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAccess MATLAB variables\u003c/h4\u003e\u003ca id=\"user-content-access-matlab-variables\" class=\"anchor\" aria-label=\"Permalink: Access MATLAB variables\" href=\"#access-matlab-variables\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou may access attributes and data of a MATLAB variable through the functions provided by this package.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# suppose x is of type MxArray\nnrows(x) # returns number of rows in x\nncols(x) # returns number of columns in x\nnelems(x) # returns number of elements in x\nndims(x) # returns number of dimensions in x\nsize(x) # returns the size of x as a tuple\nsize(x, d) # returns the size of x along a specific dimension\n\neltype(x) # returns element type of x (in Julia Type)\nelsize(x) # return number of bytes per element\n\ndata_ptr(x) # returns pointer to data (in Ptr{T}), where T is eltype(x)\n\n# suppose s is a MATLAB struct\nmxnfields(s)\t# returns the number of fields in struct s\n\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e suppose x is of type MxArray\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003enrows\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns number of rows in x\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003encols\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns number of columns in x\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003enelems\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns number of elements in x\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003endims\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns number of dimensions in x\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003esize\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns the size of x as a tuple\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003esize\u003c/span\u003e(x, d) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns the size of x along a specific dimension\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eeltype\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns element type of x (in Julia Type)\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eelsize\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e return number of bytes per element\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003edata_ptr\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns pointer to data (in Ptr{T}), where T is eltype(x)\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e suppose s is a MATLAB struct\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003emxnfields\u003c/span\u003e(s)\t\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns the number of fields in struct s\u003c/span\u003e\n\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou may also make tests on a MATLAB variable.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"is_double(x) # returns whether x is a double array\nis_sparse(x) # returns whether x is sparse\nis_complex(x) # returns whether x is complex\nis_cell(x) # returns whether x is a cell array\nis_struct(x) # returns whether x is a struct\nis_empty(x) # returns whether x is empty\n\n... # there are many more there\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c1\"\u003eis_double\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns whether x is a double array\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eis_sparse\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns whether x is sparse\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eis_complex\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns whether x is complex\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eis_cell\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns whether x is a cell array\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eis_struct\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns whether x is a struct\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eis_empty\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns whether x is empty\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003e...\u003c/span\u003e \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e there are many more there\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert MATLAB variables to Julia\u003c/h4\u003e\u003ca id=\"user-content-convert-matlab-variables-to-julia\" class=\"anchor\" aria-label=\"Permalink: Convert MATLAB variables to Julia\" href=\"#convert-matlab-variables-to-julia\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"a = jarray(x) # converts x to a Julia array\na = jvector(x) # converts x to a Julia vector (1D array) when x is a vector\na = jscalar(x) # converts x to a Julia scalar\na = jmatrix(x) # converts x to a Julia matrix\na = jstring(x) # converts x to a Julia string\na = jdict(x) # converts a MATLAB struct to a Julia dictionary (using fieldnames as keys)\n\na = jvalue(x) # converts x to a Julia value in default manner\"\u003e\u003cpre\u003ea \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejarray\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts x to a Julia array\u003c/span\u003e\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejvector\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts x to a Julia vector (1D array) when x is a vector\u003c/span\u003e\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejscalar\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts x to a Julia scalar\u003c/span\u003e\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejmatrix\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts x to a Julia matrix\u003c/span\u003e\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejstring\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts x to a Julia string\u003c/span\u003e\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejdict\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts a MATLAB struct to a Julia dictionary (using fieldnames as keys)\u003c/span\u003e\n\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejvalue\u003c/span\u003e(x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e converts x to a Julia value in default manner\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eRead/Write MAT Files\u003c/h3\u003e\u003ca id=\"user-content-readwrite-mat-files\" class=\"anchor\" aria-label=\"Permalink: Read/Write MAT Files\" href=\"#readwrite-mat-files\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis package provides functions to manipulate MATLAB's mat files:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"mf = MatFile(filename, mode) # opens a MAT file using a specific mode, and returns a handle\nmf = MatFile(filename) # opens a MAT file for reading, equivalent to MatFile(filename, \u0026quot;r\u0026quot;)\nclose(mf) # closes a MAT file.\n\nget_mvariable(mf, name) # gets a variable and returns an mxArray\nget_variable(mf, name) # gets a variable, but converts it to a Julia value using `jvalue`\n\nput_variable(mf, name, v) # puts a variable v to the MAT file\n # v can be either an MxArray instance or normal variable\n # If v is not an MxArray, it will be converted using `mxarray`\n\nput_variables(mf; name1=v1, name2=v2, ...) # put multiple variables using keyword arguments\n\nvariable_names(mf) # get a vector of all variable names in a MAT file\"\u003e\u003cpre\u003emf \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eMatFile\u003c/span\u003e(filename, mode) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e opens a MAT file using a specific mode, and returns a handle\u003c/span\u003e\nmf \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eMatFile\u003c/span\u003e(filename) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e opens a MAT file for reading, equivalent to MatFile(filename, \"r\")\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eclose\u003c/span\u003e(mf) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e closes a MAT file.\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eget_mvariable\u003c/span\u003e(mf, name) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e gets a variable and returns an mxArray\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eget_variable\u003c/span\u003e(mf, name) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e gets a variable, but converts it to a Julia value using `jvalue`\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eput_variable\u003c/span\u003e(mf, name, v) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e puts a variable v to the MAT file\u003c/span\u003e\n \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e v can be either an MxArray instance or normal variable\u003c/span\u003e\n \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e If v is not an MxArray, it will be converted using `mxarray`\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eput_variables\u003c/span\u003e(mf; name1\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003ev1, name2\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003ev2, \u003cspan class=\"pl-k\"\u003e...\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e put multiple variables using keyword arguments\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003evariable_names\u003c/span\u003e(mf) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e get a vector of all variable names in a MAT file\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThere are also convenient functions that can get/put all variables in one call:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"read_matfile(filename) # returns a dictionary that maps each variable name\n # to an MxArray instance\n\nwrite_matfile(filename; name1=v1, name2=v2, ...) # writes all variables given in the\n # keyword argument list to a MAT file\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c1\"\u003eread_matfile\u003c/span\u003e(filename) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e returns a dictionary that maps each variable name\u003c/span\u003e\n \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e to an MxArray instance\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003ewrite_matfile\u003c/span\u003e(filename; name1\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003ev1, name2\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003ev2, \u003cspan class=\"pl-k\"\u003e...\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e writes all variables given in the\u003c/span\u003e\n \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e keyword argument list to a MAT file\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eBoth \u003ccode\u003eread_matfile\u003c/code\u003e and \u003ccode\u003ewrite_matfile\u003c/code\u003e will close the MAT file handle before returning.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eExamples:\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"struct S\n x::Float64\n y::Bool\n z::Vector{Float64}\nend\n\nwrite_matfile(\u0026quot;test.mat\u0026quot;;\n a = Int32[1 2 3; 4 5 6],\n b = [1.2, 3.4, 5.6, 7.8],\n c = [[0.0, 1.0], [1.0, 2.0], [1.0, 2.0, 3.0]],\n d = Dict(\u0026quot;name\u0026quot;=\u0026gt;\u0026quot;MATLAB\u0026quot;, \u0026quot;score\u0026quot;=\u0026gt;100.0),\n s = \u0026quot;abcde\u0026quot;,\n ss = [S(1.0, true, [1., 2.]), S(2.0, false, [3., 4.])] )\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003estruct\u003c/span\u003e S\n x\u003cspan class=\"pl-k\"\u003e::\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eFloat64\u003c/span\u003e\n y\u003cspan class=\"pl-k\"\u003e::\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eBool\u003c/span\u003e\n z\u003cspan class=\"pl-k\"\u003e::\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eVector{Float64}\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eend\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003ewrite_matfile\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003etest.mat\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e;\n a \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e Int32[\u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e3\u003c/span\u003e; \u003cspan class=\"pl-c1\"\u003e4\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e5\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e6\u003c/span\u003e],\n b \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e [\u003cspan class=\"pl-c1\"\u003e1.2\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e3.4\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e5.6\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e7.8\u003c/span\u003e],\n c \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e [[\u003cspan class=\"pl-c1\"\u003e0.0\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e1.0\u003c/span\u003e], [\u003cspan class=\"pl-c1\"\u003e1.0\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e2.0\u003c/span\u003e], [\u003cspan class=\"pl-c1\"\u003e1.0\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e2.0\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e3.0\u003c/span\u003e]],\n d \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eDict\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ename\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e=\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eMATLAB\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003escore\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e=\u0026gt;\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e100.0\u003c/span\u003e),\n s \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eabcde\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n ss \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e [\u003cspan class=\"pl-c1\"\u003eS\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e1.0\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003etrue\u003c/span\u003e, [\u003cspan class=\"pl-c1\"\u003e1.\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e2.\u003c/span\u003e]), \u003cspan class=\"pl-c1\"\u003eS\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e2.0\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003efalse\u003c/span\u003e, [\u003cspan class=\"pl-c1\"\u003e3.\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e4.\u003c/span\u003e])] )\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis example will create a MAT file called \u003ccode\u003etest.mat\u003c/code\u003e, which contains six MATLAB variables:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003ea\u003c/code\u003e: a 2-by-3 int32 array\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eb\u003c/code\u003e: a 4-by-1 double array\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003ec\u003c/code\u003e: a 3-by-1 cell array, each cell contains a double vector\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003ed\u003c/code\u003e: a struct with two fields: name and score\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003es\u003c/code\u003e: a string (i.e. char array)\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003ess\u003c/code\u003e: an array of structs with two elements, and three fields: x, y, and z.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eUse MATLAB Engine\u003c/h3\u003e\u003ca id=\"user-content-use-matlab-engine\" class=\"anchor\" aria-label=\"Permalink: Use MATLAB Engine\" href=\"#use-matlab-engine\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBasic Use\u003c/h4\u003e\u003ca id=\"user-content-basic-use\" class=\"anchor\" aria-label=\"Permalink: Basic Use\" href=\"#basic-use\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTo evaluate expressions in MATLAB, one may open a MATLAB engine session and communicate with it. There are three ways to call MATLAB from Julia:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe \u003ccode\u003emat\"\"\u003c/code\u003e custom string literal allows you to write MATLAB syntax inside Julia and use Julia variables directly from MATLAB via interpolation\u003c/li\u003e\n\u003cli\u003eThe \u003ccode\u003eeval_string\u003c/code\u003e evaluate a string containing MATLAB expressions (typically used with the helper macros \u003ccode\u003e@mget\u003c/code\u003e and \u003ccode\u003e@mput\u003c/code\u003e\u003c/li\u003e\n\u003cli\u003eThe \u003ccode\u003emxcall\u003c/code\u003e function calls a given MATLAB function and returns the result\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eIn general, the \u003ccode\u003emat\"\"\u003c/code\u003e custom string literal is the preferred method to interact with the MATLAB engine.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cem\u003eNote:\u003c/em\u003e There can be multiple (reasonable) ways to convert a MATLAB variable to Julia array. For example, MATLAB represents a scalar using a 1-by-1 matrix. Here we have two choices in terms of converting such a matrix back to Julia: (1) convert to a scalar number, or (2) convert to a matrix of size 1-by-1.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch5 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eThe \u003ccode\u003emat\"\"\u003c/code\u003e custom string literal\u003c/h5\u003e\u003ca id=\"user-content-the-mat-custom-string-literal\" class=\"anchor\" aria-label=\"Permalink: The mat\u0026quot;\u0026quot; custom string literal\" href=\"#the-mat-custom-string-literal\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eText inside the \u003ccode\u003emat\"\"\u003c/code\u003e custom string literal is in MATLAB syntax. Variables from Julia can be \"interpolated\" into MATLAB code by prefixing them with a dollar sign as you would interpolate them into an ordinary string.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"using MATLAB\n\nx = range(-10.0, stop=10.0, length=500)\nmat\u0026quot;plot($x, sin($x))\u0026quot; # evaluate a MATLAB function\n\ny = range(2.0, stop=3.0, length=500)\nmat\u0026quot;\u0026quot;\u0026quot;\n $u = $x + $y\n\t$v = $x - $y\n\u0026quot;\u0026quot;\u0026quot;\n@show u v # u and v are accessible from Julia\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eusing\u003c/span\u003e MATLAB\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003erange\u003c/span\u003e(\u003cspan class=\"pl-k\"\u003e-\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e, stop\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e, length\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e500\u003c/span\u003e)\n\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\u003cspan class=\"pl-c1\"\u003emat\u003c/span\u003e\"\u003c/span\u003eplot($x, sin($x))\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e evaluate a MATLAB function\u003c/span\u003e\n\ny \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003erange\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e2.0\u003c/span\u003e, stop\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e3.0\u003c/span\u003e, length\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e500\u003c/span\u003e)\n\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\u003cspan class=\"pl-c1\"\u003emat\u003c/span\u003e\"\"\"\u003c/span\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e $u = $x + $y\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\t$v = $x - $y\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\"\"\u003c/span\u003e\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003e@show\u003c/span\u003e u v \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e u and v are accessible from Julia\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAs with ordinary string literals, you can also interpolate whole Julia expressions, e.g. \u003ccode\u003emat\"$(x[1]) = $(x[2]) + $(binomial(5, 2))\"\u003c/code\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch5 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ccode\u003eeval_string\u003c/code\u003e\u003c/h5\u003e\u003ca id=\"user-content-eval_string\" class=\"anchor\" aria-label=\"Permalink: eval_string\" href=\"#eval_string\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou may also use the \u003ccode\u003eeval_string\u003c/code\u003e function to evaluate MATLAB code as follows\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"eval_string(\u0026quot;a = sum([1,2,3])\u0026quot;)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c1\"\u003eeval_string\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ea = sum([1,2,3])\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe \u003ccode\u003eeval_string\u003c/code\u003e function also takes an optional argument that specifies which MATLAB session to evaluate the code in, e.g.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"julia\u0026gt; s = MSession();\njulia\u0026gt; eval_string(s, \u0026quot;a = sum([1,2,3])\u0026quot;)\na =\n 6\"\u003e\u003cpre\u003ejulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e s \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eMSession\u003c/span\u003e();\njulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eeval_string\u003c/span\u003e(s, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ea = sum([1,2,3])\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e)\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\n \u003cspan class=\"pl-c1\"\u003e6\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch5 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ccode\u003emxcall\u003c/code\u003e\u003c/h5\u003e\u003ca id=\"user-content-mxcall\" class=\"anchor\" aria-label=\"Permalink: mxcall\" href=\"#mxcall\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou may also directly call a MATLAB function on Julia variables using \u003ccode\u003emxcall\u003c/code\u003e:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"x = -10.0:0.1:10.0\ny = -10.0:0.1:10.0\nxx, yy = mxcall(:meshgrid, 2, x, y)\"\u003e\u003cpre\u003ex \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003e-\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e:\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e0.1\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e:\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e\ny \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-k\"\u003e-\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e:\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e0.1\u003c/span\u003e\u003cspan class=\"pl-k\"\u003e:\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e\nxx, yy \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxcall\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e:meshgrid\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e, x, y)\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cem\u003eNote:\u003c/em\u003e Since MATLAB functions behavior depends on the number of outputs, you have to specify the number of output arguments in \u003ccode\u003emxcall\u003c/code\u003e as the second argument.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ccode\u003emxcall\u003c/code\u003e puts the input arguments to the MATLAB workspace (using mangled names), evaluates the function call in MATLAB, and retrieves the variable from the MATLAB session. This function is mainly provided for convenience. However, you should keep in mind that it may incur considerable overhead due to the communication between MATLAB and Julia domain.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch5 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ccode\u003e@mget\u003c/code\u003e and \u003ccode\u003e@mput\u003c/code\u003e\u003c/h5\u003e\u003ca id=\"user-content-mget-and-mput\" class=\"anchor\" aria-label=\"Permalink: @mget and @mput\" href=\"#mget-and-mput\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe macro \u003ccode\u003e@mget\u003c/code\u003e can be used to extract the value of a MATLAB variable into Julia\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"julia\u0026gt; mat\u0026quot;a = 6\u0026quot;\njulia\u0026gt; @mget a\n6.0\"\u003e\u003cpre\u003ejulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\u003cspan class=\"pl-c1\"\u003emat\u003c/span\u003e\"\u003c/span\u003ea = 6\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\njulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e@mget\u003c/span\u003e a\n\u003cspan class=\"pl-c1\"\u003e6.0\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe macro \u003ccode\u003e@mput\u003c/code\u003e can be used to translate a Julia variable into MATLAB\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"julia\u0026gt; x = [1,2,3]\njulia\u0026gt; @mput x\njulia\u0026gt; eval_string(\u0026quot;y = sum(x)\u0026quot;)\njulia\u0026gt; @mget y\n6.0\njulia\u0026gt; @show y\na = 63.0\"\u003e\u003cpre\u003ejulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e x \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e [\u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e,\u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e,\u003cspan class=\"pl-c1\"\u003e3\u003c/span\u003e]\njulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e@mput\u003c/span\u003e x\njulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eeval_string\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003ey = sum(x)\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e)\njulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e@mget\u003c/span\u003e y\n\u003cspan class=\"pl-c1\"\u003e6.0\u003c/span\u003e\njulia\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e@show\u003c/span\u003e y\na \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e63.0\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCalling custom MATLAB function\u003c/h4\u003e\u003ca id=\"user-content-calling-custom-matlab-function\" class=\"anchor\" aria-label=\"Permalink: Calling custom MATLAB function\" href=\"#calling-custom-matlab-function\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf the MATLAB function is not in the current directory, we need to first add it to the MATLAB path before calling through Julia:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"mat\u0026quot;addpath('/path/to/folder')\u0026quot;\nval = mat\u0026quot;myfunction($arg1, $arg2)\u0026quot;\"\u003e\u003cpre\u003e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\u003cspan class=\"pl-c1\"\u003emat\u003c/span\u003e\"\u003c/span\u003eaddpath('/path/to/folder')\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\nval \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\u003cspan class=\"pl-c1\"\u003emat\u003c/span\u003e\"\u003c/span\u003emyfunction($arg1, $arg2)\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eFor example, if there is a MATLAB file located at \u003ccode\u003e/path/to/folder\u003c/code\u003e with contents:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-matlab notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"function [r,u] = test(x, y)\n\tr = x + y;\n\tu = x - y;\nend\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003efunction\u003c/span\u003e [\u003cspan class=\"pl-smi\"\u003er\u003c/span\u003e,\u003cspan class=\"pl-smi\"\u003eu\u003c/span\u003e] \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e test(\u003cspan class=\"pl-smi\"\u003ex\u003c/span\u003e, \u003cspan class=\"pl-smi\"\u003ey\u003c/span\u003e)\n\tr \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003ex\u003c/span\u003e \u003cspan class=\"pl-k\"\u003e+\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003ey\u003c/span\u003e;\n\tu \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003ex\u003c/span\u003e \u003cspan class=\"pl-k\"\u003e-\u003c/span\u003e \u003cspan class=\"pl-smi\"\u003ey\u003c/span\u003e;\n\u003cspan class=\"pl-k\"\u003eend\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWe can call this function as follows in Julia:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"using MATLAB\n\nx = range(-10.0, stop=10.0, length=500)\ny = range(2.0, stop=3.0, length=500)\n\nmat\u0026quot;addpath('/path/to/folder')\u0026quot;\n\nr, u = mxcall(:test,2,x,y)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eusing\u003c/span\u003e MATLAB\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003erange\u003c/span\u003e(\u003cspan class=\"pl-k\"\u003e-\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e, stop\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e10.0\u003c/span\u003e, length\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e500\u003c/span\u003e)\ny \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003erange\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e2.0\u003c/span\u003e, stop\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e3.0\u003c/span\u003e, length\u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e500\u003c/span\u003e)\n\n\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\u003cspan class=\"pl-c1\"\u003emat\u003c/span\u003e\"\u003c/span\u003eaddpath('/path/to/folder')\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\n\nr, u \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003emxcall\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e:test\u003c/span\u003e,\u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e,x,y)\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eViewing the MATLAB Session (Windows only)\u003c/h4\u003e\u003ca id=\"user-content-viewing-the-matlab-session-windows-only\" class=\"anchor\" aria-label=\"Permalink: Viewing the MATLAB Session (Windows only)\" href=\"#viewing-the-matlab-session-windows-only\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTo open an interactive window for the MATLAB session, use the command \u003ccode\u003eshow_msession()\u003c/code\u003e and to hide the window, use \u003ccode\u003ehide_msession()\u003c/code\u003e. \u003cem\u003eWarning: manually closing this window will result in an error or result in a segfault; it is advised that you only use the \u003ccode\u003ehide_msession()\u003c/code\u003e command to hide the interactive window.\u003c/em\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eNote that this feature only works on Windows.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# default\nshow_msession() # open the default MATLAB session interactive window\nget_msession_visiblity() # get the session's visibility state\nhide_msession() # hide the default MATLAB session interactive window\n\n# similarly\ns = MSession()\nshow_msession(s)\nget_msession_visiblity(a)\nhide_msession(s)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e default\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eshow_msession\u003c/span\u003e() \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e open the default MATLAB session interactive window\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eget_msession_visiblity\u003c/span\u003e() \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e get the session's visibility state\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003ehide_msession\u003c/span\u003e() \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e hide the default MATLAB session interactive window\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e similarly\u003c/span\u003e\ns \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eMSession\u003c/span\u003e()\n\u003cspan class=\"pl-c1\"\u003eshow_msession\u003c/span\u003e(s)\n\u003cspan class=\"pl-c1\"\u003eget_msession_visiblity\u003c/span\u003e(a)\n\u003cspan class=\"pl-c1\"\u003ehide_msession\u003c/span\u003e(s)\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAdvanced use of MATLAB Engines\u003c/h4\u003e\u003ca id=\"user-content-advanced-use-of-matlab-engines\" class=\"anchor\" aria-label=\"Permalink: Advanced use of MATLAB Engines\" href=\"#advanced-use-of-matlab-engines\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis package provides a series of functions for users to control the communication with MATLAB sessions.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eHere is an example:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-julia notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"s1 = MSession() # creates a MATLAB session\ns2 = MSession(0) # creates a MATLAB session without recording output\n\nx = rand(3, 4)\nput_variable(s1, :x, x) # put x to session s1\n\ny = rand(2, 3)\nput_variable(s2, :y, y) # put y to session s2\n\neval_string(s1, \u0026quot;r = sin(x)\u0026quot;) # evaluate sin(x) in session s1\neval_string(s2, \u0026quot;r = sin(y)\u0026quot;) # evaluate sin(y) in session s2\n\nr1_mx = get_mvariable(s1, :r) # get r from s1\nr2_mx = get_mvariable(s2, :r) # get r from s2\n\nr1 = jarray(r1_mx)\nr2 = jarray(r2_mx)\n\n# ... do other stuff on r1 and r2\n\nclose(s1) # close session s1\nclose(s2) # close session s2\"\u003e\u003cpre\u003es1 \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eMSession\u003c/span\u003e() \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB session\u003c/span\u003e\ns2 \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eMSession\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e0\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e creates a MATLAB session without recording output\u003c/span\u003e\n\nx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003erand\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e3\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e4\u003c/span\u003e)\n\u003cspan class=\"pl-c1\"\u003eput_variable\u003c/span\u003e(s1, \u003cspan class=\"pl-c1\"\u003e:x\u003c/span\u003e, x) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e put x to session s1\u003c/span\u003e\n\ny \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003erand\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e2\u003c/span\u003e, \u003cspan class=\"pl-c1\"\u003e3\u003c/span\u003e)\n\u003cspan class=\"pl-c1\"\u003eput_variable\u003c/span\u003e(s2, \u003cspan class=\"pl-c1\"\u003e:y\u003c/span\u003e, y) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e put y to session s2\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eeval_string\u003c/span\u003e(s1, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003er = sin(x)\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e evaluate sin(x) in session s1\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eeval_string\u003c/span\u003e(s2, \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003er = sin(y)\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e evaluate sin(y) in session s2\u003c/span\u003e\n\nr1_mx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eget_mvariable\u003c/span\u003e(s1, \u003cspan class=\"pl-c1\"\u003e:r\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e get r from s1\u003c/span\u003e\nr2_mx \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003eget_mvariable\u003c/span\u003e(s2, \u003cspan class=\"pl-c1\"\u003e:r\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e get r from s2\u003c/span\u003e\n\nr1 \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejarray\u003c/span\u003e(r1_mx)\nr2 \u003cspan class=\"pl-k\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ejarray\u003c/span\u003e(r2_mx)\n\n\u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e ... do other stuff on r1 and r2\u003c/span\u003e\n\n\u003cspan class=\"pl-c1\"\u003eclose\u003c/span\u003e(s1) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e close session s1\u003c/span\u003e\n\u003cspan class=\"pl-c1\"\u003eclose\u003c/span\u003e(s2) \u003cspan class=\"pl-c\"\u003e\u003cspan class=\"pl-c\"\u003e#\u003c/span\u003e close session s2\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":2,"text":"MATLAB","anchor":"matlab","htmlText":"MATLAB"},{"level":2,"text":"Overview","anchor":"overview","htmlText":"Overview"},{"level":2,"text":"Installation","anchor":"installation","htmlText":"Installation"},{"level":3,"text":"Windows","anchor":"windows","htmlText":"Windows"},{"level":3,"text":"Linux","anchor":"linux","htmlText":"Linux"},{"level":3,"text":"Mac OS X","anchor":"mac-os-x","htmlText":"Mac OS X"},{"level":2,"text":"Changing MATLAB version","anchor":"changing-matlab-version","htmlText":"Changing MATLAB version"},{"level":3,"text":"Notes for Windows Users","anchor":"notes-for-windows-users","htmlText":"Notes for Windows Users"},{"level":2,"text":"Usage","anchor":"usage","htmlText":"Usage"},{"level":3,"text":"MxArray class","anchor":"mxarray-class","htmlText":"MxArray class"},{"level":4,"text":"Create MATLAB variables in Julia","anchor":"create-matlab-variables-in-julia","htmlText":"Create MATLAB variables in Julia"},{"level":4,"text":"Access MATLAB variables","anchor":"access-matlab-variables","htmlText":"Access MATLAB variables"},{"level":4,"text":"Convert MATLAB variables to Julia","anchor":"convert-matlab-variables-to-julia","htmlText":"Convert MATLAB variables to Julia"},{"level":3,"text":"Read/Write MAT Files","anchor":"readwrite-mat-files","htmlText":"Read/Write MAT Files"},{"level":3,"text":"Use MATLAB Engine","anchor":"use-matlab-engine","htmlText":"Use MATLAB Engine"},{"level":4,"text":"Basic Use","anchor":"basic-use","htmlText":"Basic Use"},{"level":5,"text":"The mat\"\" custom string literal","anchor":"the-mat-custom-string-literal","htmlText":"The mat\"\" custom string literal"},{"level":5,"text":"eval_string","anchor":"eval_string","htmlText":"eval_string"},{"level":5,"text":"mxcall","anchor":"mxcall","htmlText":"mxcall"},{"level":5,"text":"@mget and @mput","anchor":"mget-and-mput","htmlText":"@mget and @mput"},{"level":4,"text":"Calling custom MATLAB function","anchor":"calling-custom-matlab-function","htmlText":"Calling custom MATLAB function"},{"level":4,"text":"Viewing the MATLAB Session (Windows only)","anchor":"viewing-the-matlab-session-windows-only","htmlText":"Viewing the MATLAB Session (Windows only)"},{"level":4,"text":"Advanced use of MATLAB Engines","anchor":"advanced-use-of-matlab-engines","htmlText":"Advanced use of MATLAB Engines"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2FJuliaInterop%2FMATLAB.jl"}},{"displayName":"LICENSE.md","repoName":"MATLAB.jl","refName":"master","path":"LICENSE.md","preferredFileType":"license","tabName":"MIT","richText":null,"loaded":false,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":null,"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2FJuliaInterop%2FMATLAB.jl"}}],"overviewFilesProcessingTime":0}},"appPayload":{"helpUrl":"https://docs.github.com","findFileWorkerPath":"/assets-cdn/worker/find-file-worker-7d7eb7c71814.js","findInFileWorkerPath":"/assets-cdn/worker/find-in-file-worker-96e76d5fdb2c.js","githubDevUrl":null,"enabled_features":{"copilot_workspace":null,"code_nav_ui_events":false,"overview_shared_code_dropdown_button":false,"react_blob_overlay":false,"accessible_code_button":true,"github_models_repo_integration":false}}}}</script> <div data-target="react-partial.reactRoot"><style data-styled="true" 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dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">MATLAB</h2><a id="user-content-matlab" class="anchor" aria-label="Permalink: MATLAB" href="#matlab"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <markdown-accessiblity-table><table> <thead> <tr> <th align="center">❗ If you get a 'Segmentation fault' error when calling MATLAB with version R2022 or newer, try using an <a href="https://github.com/JuliaInterop/MATLAB.jl#changing-matlab-version">older version</a> of MATLAB. ❗</th> </tr> </thead> </table></markdown-accessiblity-table> <p dir="auto">The <code>MATLAB.jl</code> package provides an interface for using <a href="http://www.mathworks.com/products/matlab/" rel="nofollow">MATLAB®</a> from <a href="http://julialang.org" rel="nofollow">Julia</a> using the MATLAB C api. In other words, this package allows users to call MATLAB functions within Julia, thus making it easy to interoperate with MATLAB from the Julia language.</p> <p dir="auto">You cannot use <code>MATLAB.jl</code> without having purchased and installed a copy of MATLAB® from <a href="http://www.mathworks.com/" rel="nofollow">MathWorks</a>. This package is available free of charge and in no way replaces or alters any functionality of MathWorks's MATLAB product.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Overview</h2><a id="user-content-overview" class="anchor" aria-label="Permalink: Overview" href="#overview"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This package is composed of two aspects:</p> <ul dir="auto"> <li> <p dir="auto">Creating and manipulating mxArrays (the data structure that MATLAB used to represent arrays and other kinds of data)</p> </li> <li> <p dir="auto">Communicating with MATLAB engine sessions</p> </li> </ul> <p dir="auto"><strong>Warning</strong>:</p> <ul dir="auto"> <li> <p dir="auto">MATLAB string arrays are not supported, and will throw an error exception. This also applies if they are nested within a MATLAB struct. This is a limitation of the MATLAB C api. The MATLAB function <code>convertContainedStringsToChars</code> may be used to facilitate conversion to a compatible format for use with <code>MATLAB.jl</code>.</p> </li> <li> <p dir="auto">Threading is also not supported within Julia when using the MATLAB.jl library.</p> </li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Installation</h2><a id="user-content-installation" class="anchor" aria-label="Permalink: Installation" href="#installation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Important</strong>: The procedure to setup this package consists of the following steps.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Windows</h3><a id="user-content-windows" class="anchor" aria-label="Permalink: Windows" href="#windows"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li> <p dir="auto">For Matlab R2020a onwards, you should be able to go directly to step 2. If you encounter issues, run <code>matlab -batch "comserver('register')"</code> in the command prompt. For earlier versions of Matlab, start a command prompt as an administrator and enter <code>matlab /regserver</code>. Alternatively, you can do the same using the MATLAB GUI. To do this, open MATLAB with administrative privileges and run the following command in the MATLAB command window: <code>!matlab -regserver</code>. Close MATLAB and restart Julia.</p> </li> <li> <p dir="auto">From Julia run: <code>Pkg.add("MATLAB")</code></p> </li> </ol> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Linux</h3><a id="user-content-linux" class="anchor" aria-label="Permalink: Linux" href="#linux"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li> <p dir="auto">Make sure <code>matlab</code> is in executable path.</p> </li> <li> <p dir="auto">Make sure <code>csh</code> is installed. (Note: MATLAB for Linux relies on <code>csh</code> to open an engine session.)</p> <p dir="auto">To install <code>csh</code> in Debian/Ubuntu/Linux Mint, you may type in the following command in terminal:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="sudo apt-get install csh"><pre>sudo apt-get install csh</pre></div> </li> <li> <p dir="auto">From Julia run: <code>Pkg.add("MATLAB")</code></p> </li> </ol> <p dir="auto">If you experience problems when starting the MATLAB engine with versions R2022 or R2023, try to <a href="https://se.mathworks.com/help/matlab/matlab_env/check-for-software-updates.html" rel="nofollow">update</a> your MATLAB release.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Mac OS X</h3><a id="user-content-mac-os-x" class="anchor" aria-label="Permalink: Mac OS X" href="#mac-os-x"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li> <p dir="auto">Ensure that MATLAB is installed in <code>/Applications</code> (for example, if you are using MATLAB R2012b, you may add the following command to <code>.profile</code>: <code>export MATLAB_HOME=/Applications/MATLAB_R2012b.app</code>).</p> </li> <li> <p dir="auto">From Julia run: <code>Pkg.add("MATLAB")</code></p> </li> </ol> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Changing MATLAB version</h2><a id="user-content-changing-matlab-version" class="anchor" aria-label="Permalink: Changing MATLAB version" href="#changing-matlab-version"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">By default, <code>MATLAB.jl</code> is built using the MATLAB installation with the greatest version number. To specify that a specific MATLAB installation should be used, set the environment variable <code>MATLAB_ROOT</code>:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="julia> ENV["MATLAB_ROOT"] = "/usr/local/MATLAB/R2021b" # example on a Linux machine"><pre>julia<span class="pl-k">></span> <span class="pl-c1">ENV</span>[<span class="pl-s"><span class="pl-pds">"</span>MATLAB_ROOT<span class="pl-pds">"</span></span>] <span class="pl-k">=</span> <span class="pl-s"><span class="pl-pds">"</span>/usr/local/MATLAB/R2021b<span class="pl-pds">"</span></span> <span class="pl-c"><span class="pl-c">#</span> example on a Linux machine</span></pre></div> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="julia> ENV["MATLAB_ROOT"] = raw"C:\Program Files\MATLAB\R2021b" # example on a Windows machine"><pre>julia<span class="pl-k">></span> <span class="pl-c1">ENV</span>[<span class="pl-s"><span class="pl-pds">"</span>MATLAB_ROOT<span class="pl-pds">"</span></span>] <span class="pl-k">=</span> <span class="pl-s"><span class="pl-c1">raw</span><span class="pl-pds">"</span>C:<span class="pl-cce">\P</span>rogram Files<span class="pl-cce">\M</span>ATLAB<span class="pl-cce">\R</span>2021b<span class="pl-pds">"</span></span> <span class="pl-c"><span class="pl-c">#</span> example on a Windows machine</span></pre></div> <p dir="auto">Replace the path string with the location of the MATLAB folder on your machine. You need to set the path to the <code>R20XX</code> folder, not the <code>matlab</code> binary.</p> <p dir="auto">If you had the package <code>MATLAB.jl</code> already installed and built before changing the environment variable, you will need to rebuild it to apply the change:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="julia> using Pkg; Pkg.build("MATLAB")"><pre>julia<span class="pl-k">></span> <span class="pl-k">using</span> Pkg; Pkg<span class="pl-k">.</span><span class="pl-c1">build</span>(<span class="pl-s"><span class="pl-pds">"</span>MATLAB<span class="pl-pds">"</span></span>)</pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Notes for Windows Users</h3><a id="user-content-notes-for-windows-users" class="anchor" aria-label="Permalink: Notes for Windows Users" href="#notes-for-windows-users"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If you are using Windows, MATLAB needs to register its COM interface to properly work with MATLAB.jl. This should happen automatically during installation, but if you encounter issues, you can manually re-register MATLAB (with the version you want to use). To do this</p> <ol dir="auto"> <li>Open a MATLAB window with administrative privileges</li> <li>Run the following command in the MATLAB command window: <code>!matlab -regserver</code></li> <li>Close MATLAB and restart Julia</li> </ol> <div class="markdown-alert markdown-alert-important" dir="auto"><p class="markdown-alert-title" dir="auto"><svg class="octicon octicon-report mr-2" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M0 1.75C0 .784.784 0 1.75 0h12.5C15.216 0 16 .784 16 1.75v9.5A1.75 1.75 0 0 1 14.25 13H8.06l-2.573 2.573A1.458 1.458 0 0 1 3 14.543V13H1.75A1.75 1.75 0 0 1 0 11.25Zm1.75-.25a.25.25 0 0 0-.25.25v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25Zm7 2.25v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 9a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path></svg>Important</p><p dir="auto">The version of MATLAB that is registered must be same that <code>MATLAB.jl</code> uses.</p> </div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Usage</h2><a id="user-content-usage" class="anchor" aria-label="Permalink: Usage" href="#usage"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">MxArray class</h3><a id="user-content-mxarray-class" class="anchor" aria-label="Permalink: MxArray class" href="#mxarray-class"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">An instance of <code>MxArray</code> encapsulates a MATLAB variable. This package provides a series of functions to manipulate such instances.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Create MATLAB variables in Julia</h4><a id="user-content-create-matlab-variables-in-julia" class="anchor" aria-label="Permalink: Create MATLAB variables in Julia" href="#create-matlab-variables-in-julia"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">One can use the function <code>mxarray</code> to create MATLAB variables (of type <code>MxArray</code>), as follows</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="mxarray(Float64, n) # creates an n-by-1 MATLAB zero array of double valued type mxarray(Int32, m, n) # creates an m-by-n MATLAB zero array of int32 valued type mxarray(Bool, m, n) # creates a MATLAB logical array of size m-by-n mxarray(Float64, (n1, n2, n3)) # creates a MATLAB array of size n1-by-n2-by-n3 mxcellarray(m, n) # creates a MATLAB cell array mxstruct("a", "b", "c") # creates a MATLAB struct with given fields"><pre><span class="pl-c1">mxarray</span>(Float64, n) <span class="pl-c"><span class="pl-c">#</span> creates an n-by-1 MATLAB zero array of double valued type</span> <span class="pl-c1">mxarray</span>(Int32, m, n) <span class="pl-c"><span class="pl-c">#</span> creates an m-by-n MATLAB zero array of int32 valued type</span> <span class="pl-c1">mxarray</span>(Bool, m, n) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB logical array of size m-by-n</span> <span class="pl-c1">mxarray</span>(Float64, (n1, n2, n3)) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB array of size n1-by-n2-by-n3</span> <span class="pl-c1">mxcellarray</span>(m, n) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB cell array</span> <span class="pl-c1">mxstruct</span>(<span class="pl-s"><span class="pl-pds">"</span>a<span class="pl-pds">"</span></span>, <span class="pl-s"><span class="pl-pds">"</span>b<span class="pl-pds">"</span></span>, <span class="pl-s"><span class="pl-pds">"</span>c<span class="pl-pds">"</span></span>) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB struct with given fields</span></pre></div> <p dir="auto">You may also convert a Julia variable to MATLAB variable</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="a = rand(m, n) x = mxarray(a) # converts a to a MATLAB array x = mxarray(1.2) # converts a scalar 1.2 to a MATLAB variable a = sprand(m, n, 0.1) x = mxarray(a) # converts a sparse matrix to a MATLAB sparse matrix x = mxarray("abc") # converts a string to a MATLAB char array x = mxarray(["a", 1, 2.3]) # converts a Julia array to a MATLAB cell array x = mxarray(Dict("a"=>1, "b"=>"string", "c"=>[1,2,3])) # converts a Julia dictionary to a MATLAB struct"><pre>a <span class="pl-k">=</span> <span class="pl-c1">rand</span>(m, n) x <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>(a) <span class="pl-c"><span class="pl-c">#</span> converts a to a MATLAB array</span> x <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>(<span class="pl-c1">1.2</span>) <span class="pl-c"><span class="pl-c">#</span> converts a scalar 1.2 to a MATLAB variable</span> a <span class="pl-k">=</span> <span class="pl-c1">sprand</span>(m, n, <span class="pl-c1">0.1</span>) x <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>(a) <span class="pl-c"><span class="pl-c">#</span> converts a sparse matrix to a MATLAB sparse matrix</span> x <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>(<span class="pl-s"><span class="pl-pds">"</span>abc<span class="pl-pds">"</span></span>) <span class="pl-c"><span class="pl-c">#</span> converts a string to a MATLAB char array</span> x <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>([<span class="pl-s"><span class="pl-pds">"</span>a<span class="pl-pds">"</span></span>, <span class="pl-c1">1</span>, <span class="pl-c1">2.3</span>]) <span class="pl-c"><span class="pl-c">#</span> converts a Julia array to a MATLAB cell array</span> x <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>(<span class="pl-c1">Dict</span>(<span class="pl-s"><span class="pl-pds">"</span>a<span class="pl-pds">"</span></span><span class="pl-k">=></span><span class="pl-c1">1</span>, <span class="pl-s"><span class="pl-pds">"</span>b<span class="pl-pds">"</span></span><span class="pl-k">=></span><span class="pl-s"><span class="pl-pds">"</span>string<span class="pl-pds">"</span></span>, <span class="pl-s"><span class="pl-pds">"</span>c<span class="pl-pds">"</span></span><span class="pl-k">=></span>[<span class="pl-c1">1</span>,<span class="pl-c1">2</span>,<span class="pl-c1">3</span>])) <span class="pl-c"><span class="pl-c">#</span> converts a Julia dictionary to a MATLAB struct</span></pre></div> <p dir="auto">The function <code>mxarray</code> can also convert a compound type to a Julia struct:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="struct S x::Float64 y::Vector{Int32} z::Bool end s = S(1.2, Int32[1, 2], false) x = mxarray(s) # creates a MATLAB struct with three fields: x, y, z xc = mxarray([s, s]) # creates a MATLAB cell array, each cell is a struct. xs = mxstructarray([s, s]) # creates a MATLAB array of structs"><pre><span class="pl-k">struct</span> S x<span class="pl-k">::</span><span class="pl-c1">Float64</span> y<span class="pl-k">::</span><span class="pl-c1">Vector{Int32}</span> z<span class="pl-k">::</span><span class="pl-c1">Bool</span> <span class="pl-k">end</span> s <span class="pl-k">=</span> <span class="pl-c1">S</span>(<span class="pl-c1">1.2</span>, Int32[<span class="pl-c1">1</span>, <span class="pl-c1">2</span>], <span class="pl-c1">false</span>) x <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>(s) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB struct with three fields: x, y, z</span> xc <span class="pl-k">=</span> <span class="pl-c1">mxarray</span>([s, s]) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB cell array, each cell is a struct.</span> xs <span class="pl-k">=</span> <span class="pl-c1">mxstructarray</span>([s, s]) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB array of structs</span></pre></div> <p dir="auto"><strong>Note:</strong> For safety, the conversation between MATLAB and Julia variables uses deep copy.</p> <p dir="auto">When you finish using a MATLAB variable, you may call <code>delete</code> to free the memory. But this is optional, it will be deleted when reclaimed by the garbage collector.</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="delete(x)"><pre><span class="pl-c1">delete</span>(x)</pre></div> <p dir="auto"><em>Note:</em> if you put a MATLAB variable <code>x</code> to MATLAB engine session, then the MATLAB engine will take over the management of its life cylce, and you don't have to delete it explicitly.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Access MATLAB variables</h4><a id="user-content-access-matlab-variables" class="anchor" aria-label="Permalink: Access MATLAB variables" href="#access-matlab-variables"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">You may access attributes and data of a MATLAB variable through the functions provided by this package.</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# suppose x is of type MxArray nrows(x) # returns number of rows in x ncols(x) # returns number of columns in x nelems(x) # returns number of elements in x ndims(x) # returns number of dimensions in x size(x) # returns the size of x as a tuple size(x, d) # returns the size of x along a specific dimension eltype(x) # returns element type of x (in Julia Type) elsize(x) # return number of bytes per element data_ptr(x) # returns pointer to data (in Ptr{T}), where T is eltype(x) # suppose s is a MATLAB struct mxnfields(s) # returns the number of fields in struct s "><pre><span class="pl-c"><span class="pl-c">#</span> suppose x is of type MxArray</span> <span class="pl-c1">nrows</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns number of rows in x</span> <span class="pl-c1">ncols</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns number of columns in x</span> <span class="pl-c1">nelems</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns number of elements in x</span> <span class="pl-c1">ndims</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns number of dimensions in x</span> <span class="pl-c1">size</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns the size of x as a tuple</span> <span class="pl-c1">size</span>(x, d) <span class="pl-c"><span class="pl-c">#</span> returns the size of x along a specific dimension</span> <span class="pl-c1">eltype</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns element type of x (in Julia Type)</span> <span class="pl-c1">elsize</span>(x) <span class="pl-c"><span class="pl-c">#</span> return number of bytes per element</span> <span class="pl-c1">data_ptr</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns pointer to data (in Ptr{T}), where T is eltype(x)</span> <span class="pl-c"><span class="pl-c">#</span> suppose s is a MATLAB struct</span> <span class="pl-c1">mxnfields</span>(s) <span class="pl-c"><span class="pl-c">#</span> returns the number of fields in struct s</span> </pre></div> <p dir="auto">You may also make tests on a MATLAB variable.</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="is_double(x) # returns whether x is a double array is_sparse(x) # returns whether x is sparse is_complex(x) # returns whether x is complex is_cell(x) # returns whether x is a cell array is_struct(x) # returns whether x is a struct is_empty(x) # returns whether x is empty ... # there are many more there"><pre><span class="pl-c1">is_double</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns whether x is a double array</span> <span class="pl-c1">is_sparse</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns whether x is sparse</span> <span class="pl-c1">is_complex</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns whether x is complex</span> <span class="pl-c1">is_cell</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns whether x is a cell array</span> <span class="pl-c1">is_struct</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns whether x is a struct</span> <span class="pl-c1">is_empty</span>(x) <span class="pl-c"><span class="pl-c">#</span> returns whether x is empty</span> <span class="pl-k">...</span> <span class="pl-c"><span class="pl-c">#</span> there are many more there</span></pre></div> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Convert MATLAB variables to Julia</h4><a id="user-content-convert-matlab-variables-to-julia" class="anchor" aria-label="Permalink: Convert MATLAB variables to Julia" href="#convert-matlab-variables-to-julia"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="a = jarray(x) # converts x to a Julia array a = jvector(x) # converts x to a Julia vector (1D array) when x is a vector a = jscalar(x) # converts x to a Julia scalar a = jmatrix(x) # converts x to a Julia matrix a = jstring(x) # converts x to a Julia string a = jdict(x) # converts a MATLAB struct to a Julia dictionary (using fieldnames as keys) a = jvalue(x) # converts x to a Julia value in default manner"><pre>a <span class="pl-k">=</span> <span class="pl-c1">jarray</span>(x) <span class="pl-c"><span class="pl-c">#</span> converts x to a Julia array</span> a <span class="pl-k">=</span> <span class="pl-c1">jvector</span>(x) <span class="pl-c"><span class="pl-c">#</span> converts x to a Julia vector (1D array) when x is a vector</span> a <span class="pl-k">=</span> <span class="pl-c1">jscalar</span>(x) <span class="pl-c"><span class="pl-c">#</span> converts x to a Julia scalar</span> a <span class="pl-k">=</span> <span class="pl-c1">jmatrix</span>(x) <span class="pl-c"><span class="pl-c">#</span> converts x to a Julia matrix</span> a <span class="pl-k">=</span> <span class="pl-c1">jstring</span>(x) <span class="pl-c"><span class="pl-c">#</span> converts x to a Julia string</span> a <span class="pl-k">=</span> <span class="pl-c1">jdict</span>(x) <span class="pl-c"><span class="pl-c">#</span> converts a MATLAB struct to a Julia dictionary (using fieldnames as keys)</span> a <span class="pl-k">=</span> <span class="pl-c1">jvalue</span>(x) <span class="pl-c"><span class="pl-c">#</span> converts x to a Julia value in default manner</span></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Read/Write MAT Files</h3><a id="user-content-readwrite-mat-files" class="anchor" aria-label="Permalink: Read/Write MAT Files" href="#readwrite-mat-files"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This package provides functions to manipulate MATLAB's mat files:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="mf = MatFile(filename, mode) # opens a MAT file using a specific mode, and returns a handle mf = MatFile(filename) # opens a MAT file for reading, equivalent to MatFile(filename, "r") close(mf) # closes a MAT file. get_mvariable(mf, name) # gets a variable and returns an mxArray get_variable(mf, name) # gets a variable, but converts it to a Julia value using `jvalue` put_variable(mf, name, v) # puts a variable v to the MAT file # v can be either an MxArray instance or normal variable # If v is not an MxArray, it will be converted using `mxarray` put_variables(mf; name1=v1, name2=v2, ...) # put multiple variables using keyword arguments variable_names(mf) # get a vector of all variable names in a MAT file"><pre>mf <span class="pl-k">=</span> <span class="pl-c1">MatFile</span>(filename, mode) <span class="pl-c"><span class="pl-c">#</span> opens a MAT file using a specific mode, and returns a handle</span> mf <span class="pl-k">=</span> <span class="pl-c1">MatFile</span>(filename) <span class="pl-c"><span class="pl-c">#</span> opens a MAT file for reading, equivalent to MatFile(filename, "r")</span> <span class="pl-c1">close</span>(mf) <span class="pl-c"><span class="pl-c">#</span> closes a MAT file.</span> <span class="pl-c1">get_mvariable</span>(mf, name) <span class="pl-c"><span class="pl-c">#</span> gets a variable and returns an mxArray</span> <span class="pl-c1">get_variable</span>(mf, name) <span class="pl-c"><span class="pl-c">#</span> gets a variable, but converts it to a Julia value using `jvalue`</span> <span class="pl-c1">put_variable</span>(mf, name, v) <span class="pl-c"><span class="pl-c">#</span> puts a variable v to the MAT file</span> <span class="pl-c"><span class="pl-c">#</span> v can be either an MxArray instance or normal variable</span> <span class="pl-c"><span class="pl-c">#</span> If v is not an MxArray, it will be converted using `mxarray`</span> <span class="pl-c1">put_variables</span>(mf; name1<span class="pl-k">=</span>v1, name2<span class="pl-k">=</span>v2, <span class="pl-k">...</span>) <span class="pl-c"><span class="pl-c">#</span> put multiple variables using keyword arguments</span> <span class="pl-c1">variable_names</span>(mf) <span class="pl-c"><span class="pl-c">#</span> get a vector of all variable names in a MAT file</span></pre></div> <p dir="auto">There are also convenient functions that can get/put all variables in one call:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="read_matfile(filename) # returns a dictionary that maps each variable name # to an MxArray instance write_matfile(filename; name1=v1, name2=v2, ...) # writes all variables given in the # keyword argument list to a MAT file"><pre><span class="pl-c1">read_matfile</span>(filename) <span class="pl-c"><span class="pl-c">#</span> returns a dictionary that maps each variable name</span> <span class="pl-c"><span class="pl-c">#</span> to an MxArray instance</span> <span class="pl-c1">write_matfile</span>(filename; name1<span class="pl-k">=</span>v1, name2<span class="pl-k">=</span>v2, <span class="pl-k">...</span>) <span class="pl-c"><span class="pl-c">#</span> writes all variables given in the</span> <span class="pl-c"><span class="pl-c">#</span> keyword argument list to a MAT file</span></pre></div> <p dir="auto">Both <code>read_matfile</code> and <code>write_matfile</code> will close the MAT file handle before returning.</p> <p dir="auto"><strong>Examples:</strong></p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="struct S x::Float64 y::Bool z::Vector{Float64} end write_matfile("test.mat"; a = Int32[1 2 3; 4 5 6], b = [1.2, 3.4, 5.6, 7.8], c = [[0.0, 1.0], [1.0, 2.0], [1.0, 2.0, 3.0]], d = Dict("name"=>"MATLAB", "score"=>100.0), s = "abcde", ss = [S(1.0, true, [1., 2.]), S(2.0, false, [3., 4.])] )"><pre><span class="pl-k">struct</span> S x<span class="pl-k">::</span><span class="pl-c1">Float64</span> y<span class="pl-k">::</span><span class="pl-c1">Bool</span> z<span class="pl-k">::</span><span class="pl-c1">Vector{Float64}</span> <span class="pl-k">end</span> <span class="pl-c1">write_matfile</span>(<span class="pl-s"><span class="pl-pds">"</span>test.mat<span class="pl-pds">"</span></span>; a <span class="pl-k">=</span> Int32[<span class="pl-c1">1</span> <span class="pl-c1">2</span> <span class="pl-c1">3</span>; <span class="pl-c1">4</span> <span class="pl-c1">5</span> <span class="pl-c1">6</span>], b <span class="pl-k">=</span> [<span class="pl-c1">1.2</span>, <span class="pl-c1">3.4</span>, <span class="pl-c1">5.6</span>, <span class="pl-c1">7.8</span>], c <span class="pl-k">=</span> [[<span class="pl-c1">0.0</span>, <span class="pl-c1">1.0</span>], [<span class="pl-c1">1.0</span>, <span class="pl-c1">2.0</span>], [<span class="pl-c1">1.0</span>, <span class="pl-c1">2.0</span>, <span class="pl-c1">3.0</span>]], d <span class="pl-k">=</span> <span class="pl-c1">Dict</span>(<span class="pl-s"><span class="pl-pds">"</span>name<span class="pl-pds">"</span></span><span class="pl-k">=></span><span class="pl-s"><span class="pl-pds">"</span>MATLAB<span class="pl-pds">"</span></span>, <span class="pl-s"><span class="pl-pds">"</span>score<span class="pl-pds">"</span></span><span class="pl-k">=></span><span class="pl-c1">100.0</span>), s <span class="pl-k">=</span> <span class="pl-s"><span class="pl-pds">"</span>abcde<span class="pl-pds">"</span></span>, ss <span class="pl-k">=</span> [<span class="pl-c1">S</span>(<span class="pl-c1">1.0</span>, <span class="pl-c1">true</span>, [<span class="pl-c1">1.</span>, <span class="pl-c1">2.</span>]), <span class="pl-c1">S</span>(<span class="pl-c1">2.0</span>, <span class="pl-c1">false</span>, [<span class="pl-c1">3.</span>, <span class="pl-c1">4.</span>])] )</pre></div> <p dir="auto">This example will create a MAT file called <code>test.mat</code>, which contains six MATLAB variables:</p> <ul dir="auto"> <li><code>a</code>: a 2-by-3 int32 array</li> <li><code>b</code>: a 4-by-1 double array</li> <li><code>c</code>: a 3-by-1 cell array, each cell contains a double vector</li> <li><code>d</code>: a struct with two fields: name and score</li> <li><code>s</code>: a string (i.e. char array)</li> <li><code>ss</code>: an array of structs with two elements, and three fields: x, y, and z.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Use MATLAB Engine</h3><a id="user-content-use-matlab-engine" class="anchor" aria-label="Permalink: Use MATLAB Engine" href="#use-matlab-engine"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Basic Use</h4><a id="user-content-basic-use" class="anchor" aria-label="Permalink: Basic Use" href="#basic-use"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">To evaluate expressions in MATLAB, one may open a MATLAB engine session and communicate with it. There are three ways to call MATLAB from Julia:</p> <ul dir="auto"> <li>The <code>mat""</code> custom string literal allows you to write MATLAB syntax inside Julia and use Julia variables directly from MATLAB via interpolation</li> <li>The <code>eval_string</code> evaluate a string containing MATLAB expressions (typically used with the helper macros <code>@mget</code> and <code>@mput</code></li> <li>The <code>mxcall</code> function calls a given MATLAB function and returns the result</li> </ul> <p dir="auto">In general, the <code>mat""</code> custom string literal is the preferred method to interact with the MATLAB engine.</p> <p dir="auto"><em>Note:</em> There can be multiple (reasonable) ways to convert a MATLAB variable to Julia array. For example, MATLAB represents a scalar using a 1-by-1 matrix. Here we have two choices in terms of converting such a matrix back to Julia: (1) convert to a scalar number, or (2) convert to a matrix of size 1-by-1.</p> <div class="markdown-heading" dir="auto"><h5 tabindex="-1" class="heading-element" dir="auto">The <code>mat""</code> custom string literal</h5><a id="user-content-the-mat-custom-string-literal" class="anchor" aria-label="Permalink: The mat"" custom string literal" href="#the-mat-custom-string-literal"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Text inside the <code>mat""</code> custom string literal is in MATLAB syntax. Variables from Julia can be "interpolated" into MATLAB code by prefixing them with a dollar sign as you would interpolate them into an ordinary string.</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="using MATLAB x = range(-10.0, stop=10.0, length=500) mat"plot($x, sin($x))" # evaluate a MATLAB function y = range(2.0, stop=3.0, length=500) mat""" $u = $x + $y $v = $x - $y """ @show u v # u and v are accessible from Julia"><pre><span class="pl-k">using</span> MATLAB x <span class="pl-k">=</span> <span class="pl-c1">range</span>(<span class="pl-k">-</span><span class="pl-c1">10.0</span>, stop<span class="pl-k">=</span><span class="pl-c1">10.0</span>, length<span class="pl-k">=</span><span class="pl-c1">500</span>) <span class="pl-s"><span class="pl-pds"><span class="pl-c1">mat</span>"</span>plot($x, sin($x))<span class="pl-pds">"</span></span> <span class="pl-c"><span class="pl-c">#</span> evaluate a MATLAB function</span> y <span class="pl-k">=</span> <span class="pl-c1">range</span>(<span class="pl-c1">2.0</span>, stop<span class="pl-k">=</span><span class="pl-c1">3.0</span>, length<span class="pl-k">=</span><span class="pl-c1">500</span>) <span class="pl-s"><span class="pl-pds"><span class="pl-c1">mat</span>"""</span></span> <span class="pl-s"> $u = $x + $y</span> <span class="pl-s"> $v = $x - $y</span> <span class="pl-s"><span class="pl-pds">"""</span></span> <span class="pl-c1">@show</span> u v <span class="pl-c"><span class="pl-c">#</span> u and v are accessible from Julia</span></pre></div> <p dir="auto">As with ordinary string literals, you can also interpolate whole Julia expressions, e.g. <code>mat"$(x[1]) = $(x[2]) + $(binomial(5, 2))"</code>.</p> <div class="markdown-heading" dir="auto"><h5 tabindex="-1" class="heading-element" dir="auto"><code>eval_string</code></h5><a id="user-content-eval_string" class="anchor" aria-label="Permalink: eval_string" href="#eval_string"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">You may also use the <code>eval_string</code> function to evaluate MATLAB code as follows</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="eval_string("a = sum([1,2,3])")"><pre><span class="pl-c1">eval_string</span>(<span class="pl-s"><span class="pl-pds">"</span>a = sum([1,2,3])<span class="pl-pds">"</span></span>)</pre></div> <p dir="auto">The <code>eval_string</code> function also takes an optional argument that specifies which MATLAB session to evaluate the code in, e.g.</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="julia> s = MSession(); julia> eval_string(s, "a = sum([1,2,3])") a = 6"><pre>julia<span class="pl-k">></span> s <span class="pl-k">=</span> <span class="pl-c1">MSession</span>(); julia<span class="pl-k">></span> <span class="pl-c1">eval_string</span>(s, <span class="pl-s"><span class="pl-pds">"</span>a = sum([1,2,3])<span class="pl-pds">"</span></span>) a <span class="pl-k">=</span> <span class="pl-c1">6</span></pre></div> <div class="markdown-heading" dir="auto"><h5 tabindex="-1" class="heading-element" dir="auto"><code>mxcall</code></h5><a id="user-content-mxcall" class="anchor" aria-label="Permalink: mxcall" href="#mxcall"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">You may also directly call a MATLAB function on Julia variables using <code>mxcall</code>:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="x = -10.0:0.1:10.0 y = -10.0:0.1:10.0 xx, yy = mxcall(:meshgrid, 2, x, y)"><pre>x <span class="pl-k">=</span> <span class="pl-k">-</span><span class="pl-c1">10.0</span><span class="pl-k">:</span><span class="pl-c1">0.1</span><span class="pl-k">:</span><span class="pl-c1">10.0</span> y <span class="pl-k">=</span> <span class="pl-k">-</span><span class="pl-c1">10.0</span><span class="pl-k">:</span><span class="pl-c1">0.1</span><span class="pl-k">:</span><span class="pl-c1">10.0</span> xx, yy <span class="pl-k">=</span> <span class="pl-c1">mxcall</span>(<span class="pl-c1">:meshgrid</span>, <span class="pl-c1">2</span>, x, y)</pre></div> <p dir="auto"><em>Note:</em> Since MATLAB functions behavior depends on the number of outputs, you have to specify the number of output arguments in <code>mxcall</code> as the second argument.</p> <p dir="auto"><code>mxcall</code> puts the input arguments to the MATLAB workspace (using mangled names), evaluates the function call in MATLAB, and retrieves the variable from the MATLAB session. This function is mainly provided for convenience. However, you should keep in mind that it may incur considerable overhead due to the communication between MATLAB and Julia domain.</p> <div class="markdown-heading" dir="auto"><h5 tabindex="-1" class="heading-element" dir="auto"><code>@mget</code> and <code>@mput</code></h5><a id="user-content-mget-and-mput" class="anchor" aria-label="Permalink: @mget and @mput" href="#mget-and-mput"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The macro <code>@mget</code> can be used to extract the value of a MATLAB variable into Julia</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="julia> mat"a = 6" julia> @mget a 6.0"><pre>julia<span class="pl-k">></span> <span class="pl-s"><span class="pl-pds"><span class="pl-c1">mat</span>"</span>a = 6<span class="pl-pds">"</span></span> julia<span class="pl-k">></span> <span class="pl-c1">@mget</span> a <span class="pl-c1">6.0</span></pre></div> <p dir="auto">The macro <code>@mput</code> can be used to translate a Julia variable into MATLAB</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="julia> x = [1,2,3] julia> @mput x julia> eval_string("y = sum(x)") julia> @mget y 6.0 julia> @show y a = 63.0"><pre>julia<span class="pl-k">></span> x <span class="pl-k">=</span> [<span class="pl-c1">1</span>,<span class="pl-c1">2</span>,<span class="pl-c1">3</span>] julia<span class="pl-k">></span> <span class="pl-c1">@mput</span> x julia<span class="pl-k">></span> <span class="pl-c1">eval_string</span>(<span class="pl-s"><span class="pl-pds">"</span>y = sum(x)<span class="pl-pds">"</span></span>) julia<span class="pl-k">></span> <span class="pl-c1">@mget</span> y <span class="pl-c1">6.0</span> julia<span class="pl-k">></span> <span class="pl-c1">@show</span> y a <span class="pl-k">=</span> <span class="pl-c1">63.0</span></pre></div> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Calling custom MATLAB function</h4><a id="user-content-calling-custom-matlab-function" class="anchor" aria-label="Permalink: Calling custom MATLAB function" href="#calling-custom-matlab-function"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If the MATLAB function is not in the current directory, we need to first add it to the MATLAB path before calling through Julia:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="mat"addpath('/path/to/folder')" val = mat"myfunction($arg1, $arg2)""><pre><span class="pl-s"><span class="pl-pds"><span class="pl-c1">mat</span>"</span>addpath('/path/to/folder')<span class="pl-pds">"</span></span> val <span class="pl-k">=</span> <span class="pl-s"><span class="pl-pds"><span class="pl-c1">mat</span>"</span>myfunction($arg1, $arg2)<span class="pl-pds">"</span></span></pre></div> <p dir="auto">For example, if there is a MATLAB file located at <code>/path/to/folder</code> with contents:</p> <div class="highlight highlight-source-matlab notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="function [r,u] = test(x, y) r = x + y; u = x - y; end"><pre><span class="pl-k">function</span> [<span class="pl-smi">r</span>,<span class="pl-smi">u</span>] <span class="pl-k">=</span> test(<span class="pl-smi">x</span>, <span class="pl-smi">y</span>) r <span class="pl-k">=</span> <span class="pl-smi">x</span> <span class="pl-k">+</span> <span class="pl-smi">y</span>; u <span class="pl-k">=</span> <span class="pl-smi">x</span> <span class="pl-k">-</span> <span class="pl-smi">y</span>; <span class="pl-k">end</span></pre></div> <p dir="auto">We can call this function as follows in Julia:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="using MATLAB x = range(-10.0, stop=10.0, length=500) y = range(2.0, stop=3.0, length=500) mat"addpath('/path/to/folder')" r, u = mxcall(:test,2,x,y)"><pre><span class="pl-k">using</span> MATLAB x <span class="pl-k">=</span> <span class="pl-c1">range</span>(<span class="pl-k">-</span><span class="pl-c1">10.0</span>, stop<span class="pl-k">=</span><span class="pl-c1">10.0</span>, length<span class="pl-k">=</span><span class="pl-c1">500</span>) y <span class="pl-k">=</span> <span class="pl-c1">range</span>(<span class="pl-c1">2.0</span>, stop<span class="pl-k">=</span><span class="pl-c1">3.0</span>, length<span class="pl-k">=</span><span class="pl-c1">500</span>) <span class="pl-s"><span class="pl-pds"><span class="pl-c1">mat</span>"</span>addpath('/path/to/folder')<span class="pl-pds">"</span></span> r, u <span class="pl-k">=</span> <span class="pl-c1">mxcall</span>(<span class="pl-c1">:test</span>,<span class="pl-c1">2</span>,x,y)</pre></div> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Viewing the MATLAB Session (Windows only)</h4><a id="user-content-viewing-the-matlab-session-windows-only" class="anchor" aria-label="Permalink: Viewing the MATLAB Session (Windows only)" href="#viewing-the-matlab-session-windows-only"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">To open an interactive window for the MATLAB session, use the command <code>show_msession()</code> and to hide the window, use <code>hide_msession()</code>. <em>Warning: manually closing this window will result in an error or result in a segfault; it is advised that you only use the <code>hide_msession()</code> command to hide the interactive window.</em></p> <p dir="auto">Note that this feature only works on Windows.</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# default show_msession() # open the default MATLAB session interactive window get_msession_visiblity() # get the session's visibility state hide_msession() # hide the default MATLAB session interactive window # similarly s = MSession() show_msession(s) get_msession_visiblity(a) hide_msession(s)"><pre><span class="pl-c"><span class="pl-c">#</span> default</span> <span class="pl-c1">show_msession</span>() <span class="pl-c"><span class="pl-c">#</span> open the default MATLAB session interactive window</span> <span class="pl-c1">get_msession_visiblity</span>() <span class="pl-c"><span class="pl-c">#</span> get the session's visibility state</span> <span class="pl-c1">hide_msession</span>() <span class="pl-c"><span class="pl-c">#</span> hide the default MATLAB session interactive window</span> <span class="pl-c"><span class="pl-c">#</span> similarly</span> s <span class="pl-k">=</span> <span class="pl-c1">MSession</span>() <span class="pl-c1">show_msession</span>(s) <span class="pl-c1">get_msession_visiblity</span>(a) <span class="pl-c1">hide_msession</span>(s)</pre></div> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Advanced use of MATLAB Engines</h4><a id="user-content-advanced-use-of-matlab-engines" class="anchor" aria-label="Permalink: Advanced use of MATLAB Engines" href="#advanced-use-of-matlab-engines"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This package provides a series of functions for users to control the communication with MATLAB sessions.</p> <p dir="auto">Here is an example:</p> <div class="highlight highlight-source-julia notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="s1 = MSession() # creates a MATLAB session s2 = MSession(0) # creates a MATLAB session without recording output x = rand(3, 4) put_variable(s1, :x, x) # put x to session s1 y = rand(2, 3) put_variable(s2, :y, y) # put y to session s2 eval_string(s1, "r = sin(x)") # evaluate sin(x) in session s1 eval_string(s2, "r = sin(y)") # evaluate sin(y) in session s2 r1_mx = get_mvariable(s1, :r) # get r from s1 r2_mx = get_mvariable(s2, :r) # get r from s2 r1 = jarray(r1_mx) r2 = jarray(r2_mx) # ... do other stuff on r1 and r2 close(s1) # close session s1 close(s2) # close session s2"><pre>s1 <span class="pl-k">=</span> <span class="pl-c1">MSession</span>() <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB session</span> s2 <span class="pl-k">=</span> <span class="pl-c1">MSession</span>(<span class="pl-c1">0</span>) <span class="pl-c"><span class="pl-c">#</span> creates a MATLAB session without recording output</span> x <span class="pl-k">=</span> <span class="pl-c1">rand</span>(<span class="pl-c1">3</span>, <span class="pl-c1">4</span>) <span class="pl-c1">put_variable</span>(s1, <span class="pl-c1">:x</span>, x) <span class="pl-c"><span class="pl-c">#</span> put x to session s1</span> y <span class="pl-k">=</span> <span class="pl-c1">rand</span>(<span class="pl-c1">2</span>, <span class="pl-c1">3</span>) <span class="pl-c1">put_variable</span>(s2, <span class="pl-c1">:y</span>, y) <span class="pl-c"><span class="pl-c">#</span> put y to session s2</span> <span class="pl-c1">eval_string</span>(s1, <span class="pl-s"><span class="pl-pds">"</span>r = sin(x)<span class="pl-pds">"</span></span>) <span class="pl-c"><span class="pl-c">#</span> evaluate sin(x) in session s1</span> <span class="pl-c1">eval_string</span>(s2, <span class="pl-s"><span class="pl-pds">"</span>r = sin(y)<span class="pl-pds">"</span></span>) <span class="pl-c"><span class="pl-c">#</span> evaluate sin(y) in session s2</span> r1_mx <span class="pl-k">=</span> <span class="pl-c1">get_mvariable</span>(s1, <span class="pl-c1">:r</span>) <span class="pl-c"><span class="pl-c">#</span> get r from s1</span> r2_mx <span class="pl-k">=</span> <span class="pl-c1">get_mvariable</span>(s2, <span class="pl-c1">:r</span>) <span class="pl-c"><span class="pl-c">#</span> get r from s2</span> r1 <span class="pl-k">=</span> <span class="pl-c1">jarray</span>(r1_mx) r2 <span class="pl-k">=</span> <span class="pl-c1">jarray</span>(r2_mx) <span class="pl-c"><span class="pl-c">#</span> ... do other stuff on r1 and r2</span> <span class="pl-c1">close</span>(s1) <span class="pl-c"><span class="pl-c">#</span> close session s1</span> <span class="pl-c1">close</span>(s2) <span class="pl-c"><span class="pl-c">#</span> close session s2</span></pre></div> </article></div></div></div></div></div>   <script 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