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Mathematical optimization

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Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. Optimization problems of sorts arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. More generally, optimization includes finding "best available" values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains.

Mathematical optimization - Wikipedia Jump to content From Wikipedia, the free encyclopedia Study of mathematical algorithms for optimization problems "Mathematical programming" redirects here. For the peer-reviewed journal, see Mathematical Programming . "Optimization" and "Optimum" redirect here. For other uses, see Optimization (disambiguation) and Optimum (disambiguation) . This article needs editing to comply with Wikipedia's Manual of Style . In particular, it has problems with MOS:FORMULA - avoid mixing < math > ... < / math > and { { math } } in the same expression. Please help improve

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