Superlinear convergence of a stabilized SQP-type method for nonlinear semidefinite programming

The stabilized sequential quadratic programming (SQP) method can effectively deal with degenerate nonlinear optimization problems. In the case of nonunique Lagrange multipliers associated with a stationary point of an optimization problem, the stabilized SQP method still obtains superlinear and/or q...

Full description

Bibliographic Details

Published in:	Journal of applied mathematics & computing Vol. 71; no. 1; pp. 1309 - 1338
Main Authors:	Zhang, Dongdong, Chen, Zhongwen
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Nature B.V 01.02.2025
Subjects:	Algorithms Convergence Lagrange multiplier Methods Neighborhoods Optimization Quadratic programming Semidefinite programming
ISSN:	1598-5865, 1865-2085
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!