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	<title>Continuous optimization - Revision history</title>
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	<updated>2026-05-05T20:44:05Z</updated>
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&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Short description|Branch of optimization in applied mathematics}}&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Continuous optimization&amp;#039;&amp;#039;&amp;#039; is a branch of [[Optimization (mathematics)|optimization]] in [[applied mathematics]].&amp;lt;ref name=&amp;quot;JeyakumarRubinov2006&amp;quot;&amp;gt;{{cite book|author1=V. Jeyakumar|author2=Alexander M. Rubinov|title=Continuous Optimization: Current Trends and Modern Applications|url=https://books.google.com/books?id=QePsbLIwwEoC&amp;amp;q=%22Continuous+optimization%22|date=9 March 2006|publisher=Springer Science &amp;amp; Business Media|isbn=978-0-387-26771-5}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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As opposed to [[discrete optimization]], the [[Variable (mathematics)|variables]] used in the [[objective function]] are required to be [[continuous variable]]s&amp;amp;mdash;that is, to be chosen from a set of [[real number|real]] values between which there are no gaps (values from [[Interval (mathematics)|interval]]s of the [[real line]]). Because of this [[continuity (mathematics)|continuity]] assumption, continuous optimization allows the use of [[calculus]] techniques.&lt;br /&gt;
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==References==&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
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[[Category:Mathematical optimization]]&lt;br /&gt;
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{{Mathapplied-stub}}&lt;/div&gt;</summary>
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