Abstract
© 2015 Wiley Periodicals, Inc. 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.
Original language | English |
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Pages (from-to) | 153-159 |
Journal | Wiley Interdisciplinary Reviews: Computational Statistics |
Volume | 7 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2015 |