A new double trust regions SQP method without a penalty function or a filter

AUTOR(ES)

Zhu, Xiaojing, Pu, Dingguo

FONTE

Comput. Appl. Math.

DATA DE PUBLICAÇÃO

2012

RESUMO

A new trust-region SQP method for equality constrained optimization is considered. This method avoids using a penalty function or a filter, and yet can be globally convergent to first-order critical points under some reasonable assumptions. Each SQP step is composed of a normal step and a tangential step for which different trust regions are applied in the spirit of Gould and Toint [Math. Program., 122 (2010), pp. 155-196]. Numerical results demonstrate that this new approach is potentially useful. Mathematical subject classification: 65K05, 90C30, 90C55.

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