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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Bibliographic Details

Published in:	2012 Fifth International Joint Conference on Computational Sciences and Optimization pp. 226 - 229
Main Authors:	Xiaowei Jiang, Yueting Yang, Yunlong Lu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2012
Subjects:	Approximation algorithms augmented Lagrangian function Educational institutions feasible descent algorithm general constrained optimization Lagrangian functions Optimization SQP Transforms Vectors
ISBN:	9781467313650, 1467313653
Online Access:	Get full text
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