A Feasible SQP Method Using Augmented Lagrangian Function for General Constrained Optimization

An feasible SQP method is proposed to solve general optimization problems with equality and inequality constraints. First, we transform the original problem to an associated simpler problem with only inequality constraints, and the simplified problem is shown to be equivalent to the original problem...

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Vydané v:	2012 Fifth International Joint Conference on Computational Sciences and Optimization s. 226 - 229
Hlavní autori:	Xiaowei Jiang, Yueting Yang, Yunlong Lu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2012
Predmet:	Approximation algorithms augmented Lagrangian function Educational institutions feasible descent algorithm general constrained optimization Lagrangian functions Optimization SQP Transforms Vectors
ISBN:	9781467313650, 1467313653
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