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Quadratic programming

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Optimization problems in which a quadratic objective function is optimized subject to linear constraints on the parameters are known as quadratic programming problems (QPs). This focus article reviews algorithms for convex QPs (in which the objective is a convex function) and provides pointers to various online resources about QPs. WIREs Comput Stat 2015, 7:153–159. doi: 10.1002/wics.1344 This article is categorized under: Algorithms and Computational Methods > Quadratic and Nonlinear Programming

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Algorithms and Computational Methods > Quadratic and Nonlinear Programming

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