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Fibonacci search technique - Wikipedia
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For the technique for finding extremum of a mathematical function, see <a href="/wiki/Golden_section_search" class="mw-redirect" title="Golden section search">Golden section search</a>.</div> <style data-mw-deduplicate="TemplateStyles:r1251242444">.mw-parser-output .ambox{border:1px solid #a2a9b1;border-left:10px solid #36c;background-color:#fbfbfb;box-sizing:border-box}.mw-parser-output .ambox+link+.ambox,.mw-parser-output .ambox+link+style+.ambox,.mw-parser-output .ambox+link+link+.ambox,.mw-parser-output .ambox+.mw-empty-elt+link+.ambox,.mw-parser-output .ambox+.mw-empty-elt+link+style+.ambox,.mw-parser-output .ambox+.mw-empty-elt+link+link+.ambox{margin-top:-1px}html body.mediawiki .mw-parser-output .ambox.mbox-small-left{margin:4px 1em 4px 0;overflow:hidden;width:238px;border-collapse:collapse;font-size:88%;line-height:1.25em}.mw-parser-output .ambox-speedy{border-left:10px solid #b32424;background-color:#fee7e6}.mw-parser-output .ambox-delete{border-left:10px solid #b32424}.mw-parser-output .ambox-content{border-left:10px solid #f28500}.mw-parser-output .ambox-style{border-left:10px solid #fc3}.mw-parser-output .ambox-move{border-left:10px solid #9932cc}.mw-parser-output .ambox-protection{border-left:10px solid #a2a9b1}.mw-parser-output .ambox .mbox-text{border:none;padding:0.25em 0.5em;width:100%}.mw-parser-output .ambox .mbox-image{border:none;padding:2px 0 2px 0.5em;text-align:center}.mw-parser-output .ambox .mbox-imageright{border:none;padding:2px 0.5em 2px 0;text-align:center}.mw-parser-output .ambox .mbox-empty-cell{border:none;padding:0;width:1px}.mw-parser-output .ambox .mbox-image-div{width:52px}@media(min-width:720px){.mw-parser-output .ambox{margin:0 10%}}@media print{body.ns-0 .mw-parser-output .ambox{display:none!important}}</style><table class="box-Technical plainlinks metadata ambox ambox-style ambox-technical" role="presentation"><tbody><tr><td class="mbox-image"><div class="mbox-image-div"><span typeof="mw:File"><span><img alt="" src="//upload.wikimedia.org/wikipedia/en/thumb/f/f2/Edit-clear.svg/40px-Edit-clear.svg.png" decoding="async" width="40" height="40" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/en/thumb/f/f2/Edit-clear.svg/60px-Edit-clear.svg.png 1.5x, //upload.wikimedia.org/wikipedia/en/thumb/f/f2/Edit-clear.svg/80px-Edit-clear.svg.png 2x" data-file-width="48" data-file-height="48" /></span></span></div></td><td class="mbox-text"><div class="mbox-text-span">This article <b>may be too technical for most readers to understand</b>.<span class="hide-when-compact"> Please <a class="external text" href="https://en.wikipedia.org/w/index.php?title=Fibonacci_search_technique&action=edit">help improve it</a> to <a href="/wiki/Wikipedia:Make_technical_articles_understandable" title="Wikipedia:Make technical articles understandable">make it understandable to non-experts</a>, without removing the technical details.</span> <span class="date-container"><i>(<span class="date">July 2013</span>)</i></span><span class="hide-when-compact"><i> (<small><a href="/wiki/Help:Maintenance_template_removal" title="Help:Maintenance template removal">Learn how and when to remove this message</a></small>)</i></span></div></td></tr></tbody></table> <p>In <a href="/wiki/Computer_science" title="Computer science">computer science</a>, the <b>Fibonacci search technique</b> is a method of searching a <a href="/wiki/Sorted_array" title="Sorted array">sorted array</a> using a <a href="/wiki/Divide_and_conquer_algorithm" class="mw-redirect" title="Divide and conquer algorithm">divide and conquer algorithm</a> that narrows down possible locations with the aid of <a href="/wiki/Fibonacci_number" class="mw-redirect" title="Fibonacci number">Fibonacci numbers</a>.<sup id="cite_ref-Ferguson1960_1-0" class="reference"><a href="#cite_note-Ferguson1960-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> Compared to <a href="/wiki/Binary_search_algorithm" class="mw-redirect" title="Binary search algorithm">binary search</a> where the sorted array is divided into two equal-sized parts, one of which is examined further, Fibonacci search divides the array into two parts that have sizes that are consecutive Fibonacci numbers. On average, this leads to about 4% more comparisons to be executed,<sup id="cite_ref-Overholt_2-0" class="reference"><a href="#cite_note-Overholt-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup> but it has the advantage that one only needs addition and subtraction to calculate the indices of the accessed array elements, while classical binary search needs bit-shift (see <a href="/wiki/Bitwise_operation" title="Bitwise operation">Bitwise operation</a>), division or multiplication,<sup id="cite_ref-Ferguson1960_1-1" class="reference"><a href="#cite_note-Ferguson1960-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> operations that were less common at the time Fibonacci search was first published. Fibonacci search has an average- and worst-case complexity of <i>O</i>(log <i>n</i>) (see <a href="/wiki/Big_O_notation" title="Big O notation">Big O notation</a>). </p><p>The Fibonacci sequence has the property that a number is the sum of its two predecessors. Therefore the sequence can be computed by repeated addition. The ratio of two consecutive numbers approaches the <a href="/wiki/Golden_ratio" title="Golden ratio">Golden ratio</a>, 1.618... Binary search works by dividing the seek area in equal parts (1:1). Fibonacci search can divide it into parts approaching 1:1.618 while using the simpler operations. </p><p>If the elements being searched have non-uniform access memory storage (i. e., the time needed to access a storage location varies depending on the location accessed), the Fibonacci search may have the advantage over binary search in slightly reducing the average time needed to access a storage location. If the machine executing the search has a direct mapped <a href="/wiki/CPU_cache" title="CPU cache">CPU cache</a>, binary search may lead to more cache misses because the elements that are accessed often tend to gather in only a few cache lines; this is mitigated by splitting the array in parts that do not tend to be powers of two. If the data is stored on a <a href="/wiki/Magnetic_tape_data_storage" class="mw-redirect" title="Magnetic tape data storage">magnetic tape</a> where seek time depends on the current head position, a tradeoff between longer seek time and more comparisons may lead to a search algorithm that is skewed similarly to Fibonacci search. </p><p>Fibonacci search is derived from <a href="/wiki/Golden_section_search" class="mw-redirect" title="Golden section search">Golden section search</a>, an algorithm by <a href="/wiki/Jack_Kiefer_(statistician)" title="Jack Kiefer (statistician)">Jack Kiefer</a> (1953) to search for the maximum or minimum of a <a href="/wiki/Unimodal_function" class="mw-redirect" title="Unimodal function">unimodal function</a> in an interval.<sup id="cite_ref-3" class="reference"><a href="#cite_note-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Algorithm">Algorithm</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Fibonacci_search_technique&action=edit&section=1" title="Edit section: Algorithm"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Let <i>k</i> be defined as an element in <i>F</i>, the array of Fibonacci numbers. <i>n</i> = <i>F<sub>m</sub></i> is the array size. If <i>n</i> is not a Fibonacci number, let <i>F<sub>m</sub></i> be the smallest number in <i>F</i> that is greater than <i>n</i>. </p><p>The array of Fibonacci numbers is defined where <span class="texhtml"><i>F</i><sub><i>k</i>+2</sub> = <i>F</i><sub><i>k</i>+1</sub> + <i>F<sub>k</sub></i></span>, when <span class="texhtml"><i>k</i> ≥ 0</span>, <span class="texhtml"><i>F</i><sub>1</sub> = 1</span>, and <span class="texhtml"><i>F<sub>0</sub></i> = 1</span>. </p><p>To test whether an item is in the list of ordered numbers, follow these steps: </p> <ol><li>Set <i>k</i> = <i>m</i>.</li> <li>If <i>k</i> = 0, stop. There is no match; the item is not in the array.</li> <li>Compare the item against element in <i>F</i><sub><i>k</i>−1</sub>.</li> <li>If the item matches, stop.</li> <li>If the item is less than entry <i>F</i><sub><i>k</i>−1</sub>, discard the elements from positions <span class="texhtml"><i>F</i><sub><i>k</i>−1</sub> + 1</span> to <i>n</i>. Set <span class="texhtml"><i>k</i> = <i>k</i> − 1</span> and return to step 2.</li> <li>If the item is greater than entry <i>F</i><sub><i>k</i>−1</sub>, discard the elements from positions 1 to <i>F</i><sub><i>k</i>−1</sub>. Renumber the remaining elements from 1 to <i>F</i><sub><i>k</i>−2</sub>, set <span class="texhtml"><i>k</i> = <i>k</i> − 2</span>, and return to step 2.</li></ol> <p>Alternative implementation (from "Sorting and Searching" by Knuth<sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup>): </p><p>Given a table of records <i>R<sub>1</sub></i>, <i>R<sub>2</sub></i>, ..., <i>R<sub>N</sub></i> whose keys are in increasing order <i>K</i><sub>1</sub> < <i>K</i><sub>2</sub> < ... < <i>K<sub>N</sub></i>, the algorithm searches for a given argument <i>K</i>. Assume <i>N</i>+1= <i>F</i><sub><i>k</i>+1</sub> </p><p><b>Step 1.</b> [Initialize] <i>i</i> ← <i>F</i><sub><i>k</i></sub>, <i>p</i> ← <i>F</i><sub><i>k</i>−1</sub>, <i>q</i> ← <i>F</i><sub><i>k</i>−2</sub> (throughout the algorithm, <i>p</i> and <i>q</i> will be consecutive Fibonacci numbers) </p><p><b>Step 2.</b> [Compare] If <i>K</i> < <i>K<sub>i</sub></i>, go to <i>Step 3</i>; if <i>K</i> > <i>K<sub>i</sub></i> go to <i>Step 4</i>; and if <i>K</i> = <i>K<sub>i</sub></i>, the algorithm terminates successfully. </p><p><b>Step 3.</b> [Decrease <i>i</i>] If <i>q</i>=0, the algorithm terminates unsuccessfully. Otherwise set (<i>i</i>, <i>p</i>, <i>q</i>) ← (<i>i</i> − <i>q</i>, <i>q</i>, <i>p</i> − <i>q</i>) (which moves <i>p</i> and <i>q</i> one position back in the Fibonacci sequence); then return to <i>Step 2</i> </p><p><b>Step 4.</b> [Increase <i>i</i>] If <i>p</i>=1, the algorithm terminates unsuccessfully. Otherwise set (<i>i</i>, <i>p</i>, <i>q</i>) ← (<i>i</i> + <i>q</i>, <i>p</i> − <i>q</i>, 2<i>q</i> − <i>p</i>) (which moves <i>p</i> and <i>q</i> two positions back in the Fibonacci sequence); and return to <i>Step 2</i> </p><p>The two variants of the algorithm presented above always divide the current interval into a larger and a smaller subinterval. The original algorithm,<sup id="cite_ref-Ferguson1960_1-2" class="reference"><a href="#cite_note-Ferguson1960-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> however, would divide the new interval into a smaller and a larger subinterval in Step 4. This has the advantage that the new <i>i</i> is closer to the old <i>i</i> and is more suitable for accelerating searching on magnetic tape. </p> <div class="mw-heading mw-heading2"><h2 id="See_also">See also</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Fibonacci_search_technique&action=edit&section=2" title="Edit section: See also"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><a href="/wiki/Search_algorithms" class="mw-redirect" title="Search algorithms">Search algorithms</a></li></ul> <div class="mw-heading mw-heading2"><h2 id="References">References</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Fibonacci_search_technique&action=edit&section=3" title="Edit section: References"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <div class="mw-references-wrap"><ol class="references"> <li id="cite_note-Ferguson1960-1"><span class="mw-cite-backlink">^ <a href="#cite_ref-Ferguson1960_1-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-Ferguson1960_1-1"><sup><i><b>b</b></i></sup></a> <a href="#cite_ref-Ferguson1960_1-2"><sup><i><b>c</b></i></sup></a></span> <span class="reference-text"><style data-mw-deduplicate="TemplateStyles:r1238218222">.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free.id-lock-free a{background:url("//upload.wikimedia.org/wikipedia/commons/6/65/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited.id-lock-limited a,.mw-parser-output .id-lock-registration.id-lock-registration a{background:url("//upload.wikimedia.org/wikipedia/commons/d/d6/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription.id-lock-subscription a{background:url("//upload.wikimedia.org/wikipedia/commons/a/aa/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:url("//upload.wikimedia.org/wikipedia/commons/4/4c/Wikisource-logo.svg")right 0.1em center/12px no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}</style><cite id="CITEREFFerguson1960" class="citation journal cs1">Ferguson, David E. (1960). <a rel="nofollow" class="external text" href="https://doi.org/10.1145%2F367487.367496">"Fibonaccian searching"</a>. <i>Communications of the ACM</i>. <b>3</b> (12): 648. <a href="/wiki/Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<span class="id-lock-free" title="Freely accessible"><a rel="nofollow" class="external text" href="https://doi.org/10.1145%2F367487.367496">10.1145/367487.367496</a></span>. <a href="/wiki/S2CID_(identifier)" class="mw-redirect" title="S2CID (identifier)">S2CID</a> <a rel="nofollow" class="external text" href="https://api.semanticscholar.org/CorpusID:7982182">7982182</a>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.jtitle=Communications+of+the+ACM&rft.atitle=Fibonaccian+searching&rft.volume=3&rft.issue=12&rft.pages=648&rft.date=1960&rft_id=info%3Adoi%2F10.1145%2F367487.367496&rft_id=https%3A%2F%2Fapi.semanticscholar.org%2FCorpusID%3A7982182%23id-name%3DS2CID&rft.aulast=Ferguson&rft.aufirst=David+E.&rft_id=https%3A%2F%2Fdoi.org%2F10.1145%252F367487.367496&rfr_id=info%3Asid%2Fen.wikipedia.org%3AFibonacci+search+technique" class="Z3988"></span> Note that the running time analysis is this article is flawed, as pointed out by Overholt in 1972 (published 1973).</span> </li> <li id="cite_note-Overholt-2"><span class="mw-cite-backlink"><b><a href="#cite_ref-Overholt_2-0">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFOverholt1973" class="citation journal cs1">Overholt, K. J. (1973). "Efficiency of the Fibonacci search method". <i>BIT Numerical Mathematics</i>. <b>13</b> (1): 92–96. <a href="/wiki/Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF01933527">10.1007/BF01933527</a>. <a href="/wiki/S2CID_(identifier)" class="mw-redirect" title="S2CID (identifier)">S2CID</a> <a rel="nofollow" class="external text" href="https://api.semanticscholar.org/CorpusID:120681132">120681132</a>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.jtitle=BIT+Numerical+Mathematics&rft.atitle=Efficiency+of+the+Fibonacci+search+method&rft.volume=13&rft.issue=1&rft.pages=92-96&rft.date=1973&rft_id=info%3Adoi%2F10.1007%2FBF01933527&rft_id=https%3A%2F%2Fapi.semanticscholar.org%2FCorpusID%3A120681132%23id-name%3DS2CID&rft.aulast=Overholt&rft.aufirst=K.+J.&rfr_id=info%3Asid%2Fen.wikipedia.org%3AFibonacci+search+technique" class="Z3988"></span></span> </li> <li id="cite_note-3"><span class="mw-cite-backlink"><b><a href="#cite_ref-3">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFKiefer1953" class="citation journal cs1">Kiefer, J. (1953). <a rel="nofollow" class="external text" href="https://doi.org/10.1090%2FS0002-9939-1953-0055639-3">"Sequential minimax search for a maximum"</a>. <i>Proceedings of the American Mathematical Society</i>. <b>4</b> (3): 502–506. <a href="/wiki/Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<span class="id-lock-free" title="Freely accessible"><a rel="nofollow" class="external text" href="https://doi.org/10.1090%2FS0002-9939-1953-0055639-3">10.1090/S0002-9939-1953-0055639-3</a></span>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.jtitle=Proceedings+of+the+American+Mathematical+Society&rft.atitle=Sequential+minimax+search+for+a+maximum&rft.volume=4&rft.issue=3&rft.pages=502-506&rft.date=1953&rft_id=info%3Adoi%2F10.1090%2FS0002-9939-1953-0055639-3&rft.aulast=Kiefer&rft.aufirst=J.&rft_id=https%3A%2F%2Fdoi.org%2F10.1090%252FS0002-9939-1953-0055639-3&rfr_id=info%3Asid%2Fen.wikipedia.org%3AFibonacci+search+technique" class="Z3988"></span></span> </li> <li id="cite_note-4"><span class="mw-cite-backlink"><b><a href="#cite_ref-4">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFKnuth2003" class="citation book cs1">Knuth, Donald E. (2003). <i><a href="/wiki/The_Art_of_Computer_Programming" title="The Art of Computer Programming">The Art of Computer Programming</a></i>. Vol. 3 (Second ed.). p. 418.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=The+Art+of+Computer+Programming&rft.pages=418&rft.edition=Second&rft.date=2003&rft.aulast=Knuth&rft.aufirst=Donald+E.&rfr_id=info%3Asid%2Fen.wikipedia.org%3AFibonacci+search+technique" class="Z3988"></span></span> </li> </ol></div> <ul><li><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222"><cite id="CITEREFLourakis" class="citation web cs1">Lourakis, Manolis. <a rel="nofollow" class="external text" href="http://www.ics.forth.gr/~lourakis/fibsrch/">"Fibonaccian search in C"</a><span class="reference-accessdate">. Retrieved <span class="nowrap">January 18,</span> 2007</span>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=unknown&rft.btitle=Fibonaccian+search+in+C&rft.aulast=Lourakis&rft.aufirst=Manolis&rft_id=http%3A%2F%2Fwww.ics.forth.gr%2F~lourakis%2Ffibsrch%2F&rfr_id=info%3Asid%2Fen.wikipedia.org%3AFibonacci+search+technique" class="Z3988"></span> Implements the above algorithm (not Ferguson's original one).</li></ul> <!-- NewPP limit report Parsed by mw‐web.eqiad.main‐7678f45bf4‐zvknj Cached time: 20241203073048 Cache expiry: 2592000 Reduced expiry: false Complications: [vary‐revision‐sha1] CPU time usage: 0.215 seconds Real time usage: 0.301 seconds Preprocessor visited node count: 790/1000000 Post‐expand include size: 15148/2097152 bytes Template argument size: 1045/2097152 bytes Highest expansion depth: 8/100 Expensive parser function count: 3/500 Unstrip recursion depth: 1/20 Unstrip post‐expand size: 18934/5000000 bytes Lua time usage: 0.150/10.000 seconds Lua memory usage: 4341053/52428800 bytes Number of Wikibase entities loaded: 0/400 --> <!-- Transclusion expansion time report (%,ms,calls,template) 100.00% 279.697 1 -total 43.35% 121.250 3 Template:Cite_journal 23.68% 66.235 1 Template:Short_description 16.40% 45.860 1 Template:Technical 14.76% 41.271 1 Template:Ambox 13.29% 37.175 2 Template:Pagetype 6.43% 17.977 1 Template:About 6.37% 17.822 9 Template:Main_other 5.36% 14.989 1 Template:SDcat 2.69% 7.525 7 Template:Math --> <!-- Saved in parser cache with key enwiki:pcache:8995012:|#|:idhash:canonical and timestamp 20241203073048 and revision id 1259319777. 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