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Επαναληπτικός τετραγωνικός προγραμματισμός
2013The aim of this thesis is to study the solution of constrained nonlinear optimization problems using Sequential Quadratic Programming (SQP) method which has proved highly effective in practice. As with most optimization methods, SQP is not a single algorithm but rather a conceptual method from which numerous specific algorithms have evolved.
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2009
Quadratic programming (QP) deals with a special class of mathematical programs in which a quadratic function of the decision variables is required to be optimized (i.e., either minimized or maximized) subject to linear equality and/or inequality constraints.
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Quadratic programming (QP) deals with a special class of mathematical programs in which a quadratic function of the decision variables is required to be optimized (i.e., either minimized or maximized) subject to linear equality and/or inequality constraints.
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IEEE transactions on industrial electronics (1982. Print), 2016
Long Jin +3 more
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On the complexity of quadratic programming with two quadratic constraints
Mathematical programming, 2017L. Consolini, M. Locatelli
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IEEE Transactions on Neural Networks and Learning Systems, 2016
Bolin Liao, Yunong Zhang, Long Jin
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Bolin Liao, Yunong Zhang, Long Jin
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A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network
IEEE Transactions on Power Systems, 2016Zhuang Tian, Wenchuan Wu, Boming Zhang
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