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Constrained optimization problems are problems for which a function f(x) is to be minimized or maximized subject to constraints. Mathematica functions for constrained optimization include Minimize, Maximize, NMinimize and NMaximize for global constrained optimization, FindMinimum for local constrained optimization, and LinearProgramming for efficient and direct access to linear programming methods.
Drawn from the in-product documentation of Mathematica, the 23-title Tutorial Collection gives users targeted instruction on the functions, capabilities, and unified architecture of the Mathematica system. The Collection discontinued printing as of January 2012, but the Mathematica 7 edition of each title remains available for download as a PDF.
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