Optimality Conditions for Nonlinear Second-Order Cone Programming and Symmetric Cone Programming

被引:0
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作者
Roberto Andreani
Ellen H. Fukuda
Gabriel Haeser
Daiana O. Santos
Leonardo D. Secchin
机构
[1] University of Campinas,Department of Applied Mathematics
[2] Kyoto University,Graduate School of Informatics
[3] University of São Paulo,Department of Applied Mathematics
[4] Federal University of São Paulo,Paulista School of Politics, Economics and Business
[5] Federal University of Espírito Santo,Department of Applied Mathematics
关键词
Second-order cones; Symmetric cones; Optimality conditions; Constraint qualifications; Augmented Lagrangian method;
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摘要
Nonlinear symmetric cone programming (NSCP) generalizes important optimization problems such as nonlinear programming, nonlinear semi-definite programming and nonlinear second-order cone programming (NSOCP). In this work, we present two new optimality conditions for NSCP without constraint qualifications, which implies the Karush–Kuhn–Tucker conditions under a condition weaker than Robinson’s constraint qualification. In addition, we show the relationship of both optimality conditions in the context of NSOCP, where we also present an augmented Lagrangian method with global convergence to a KKT point under a condition weaker than Robinson’s constraint qualification.
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页码:1 / 33
页数:32
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