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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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Temporal walk-off induced dissipative quadratic solitons
Nature Photonics, 2022Arkadev Roy, Rajveer Nehra, Saman Jahani
exaly
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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OSQP: an operator splitting solver for quadratic programs
Mathematical Programming Computation, 2020Bartolomeo Stellato +2 more
exaly
Common Method Bias in Regression Models With Linear, Quadratic, and Interaction Effects
Organizational Research Methods, 2010Enno Siemsen +2 more
exaly
A relaxed quadratic function negative-determination lemma and its application to time-delay systems
Automatica, 2020Chuan-Ke Zhang, Fei Long, Yong He
exaly