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	<updated>2026-04-24T01:56:18Z</updated>
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	<entry>
		<id>https://wikimd.com/index.php?title=Mathematical_optimization&amp;diff=6309115&amp;oldid=prev</id>
		<title>Prab: CSV import</title>
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		<updated>2025-02-18T00:44:54Z</updated>

		<summary type="html">&lt;p&gt;CSV import&lt;/p&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 00:44, 18 February 2025&lt;/td&gt;
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		<author><name>Prab</name></author>
	</entry>
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		<updated>2024-02-29T05:07:24Z</updated>

		<summary type="html">&lt;p&gt;CSV import&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&amp;#039;&amp;#039;&amp;#039;Mathematical optimization&amp;#039;&amp;#039;&amp;#039; (also known as [[mathematical programming]], [[optimization theory]], or simply optimization) is a branch of [[applied mathematics]] and [[operations research]] that focuses on finding the best possible solution to a problem within a given set of constraints. &lt;br /&gt;
&lt;br /&gt;
== Overview ==&lt;br /&gt;
&lt;br /&gt;
Mathematical optimization involves selecting the best element from a set of available alternatives. In the simplest case, this involves maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. More generally, optimization includes finding &amp;quot;best available&amp;quot; values of some objective function given a defined domain, including a variety of different types of objective functions and different types of domains.&lt;br /&gt;
&lt;br /&gt;
== Types of Mathematical Optimization ==&lt;br /&gt;
&lt;br /&gt;
There are several types of mathematical optimization, including:&lt;br /&gt;
&lt;br /&gt;
* [[Linear programming]]: This is a method to achieve the best outcome in a mathematical model whose requirements are represented by linear relationships.&lt;br /&gt;
&lt;br /&gt;
* [[Nonlinear programming]]: This is a process of solving optimization problems where the objective function or the constraints, or both, are nonlinear.&lt;br /&gt;
&lt;br /&gt;
* [[Integer programming]]: This is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers.&lt;br /&gt;
&lt;br /&gt;
* [[Convex programming]]: This is a subfield of optimization that studies the problem of minimizing convex functions over convex sets.&lt;br /&gt;
&lt;br /&gt;
* [[Stochastic programming]]: This is a framework for modeling optimization problems that involve uncertainty.&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
Mathematical optimization has wide applications in fields such as [[economics]], [[engineering]], [[computer science]], [[statistics]], [[finance]], [[logistics]], and [[machine learning]]. It is used to find the most efficient and effective way to use resources, maximize output, minimize cost, and solve complex problems.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Operations research]]&lt;br /&gt;
* [[Game theory]]&lt;br /&gt;
* [[Decision theory]]&lt;br /&gt;
* [[Control theory]]&lt;br /&gt;
* [[Combinatorial optimization]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
{{reflist}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Mathematical optimization]]&lt;br /&gt;
[[Category:Applied mathematics]]&lt;br /&gt;
[[Category:Operations research]]&lt;br /&gt;
{{math-stub}}&lt;/div&gt;</summary>
		<author><name>Prab</name></author>
	</entry>
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