Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs

Fuente: arXiv
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Main Author: Wright, Stephen J.
Format: Preprint
Published: 2000
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author Wright, Stephen J.
author_facet Wright, Stephen J.
contents In the vicinity of a solution of a nonlinear programming problem at which both strict complementarity and linear independence of the active constraints may fail to hold, we describe a technique for distinguishing weakly active from strongly active constraints. We show that this information can be used to modify the sequential quadratic programming algorithm so that it exhibits superlinear convergence to the solution under assumptions weaker than those made in previous analyses.
format Preprint
id arxiv_https___arxiv_org_abs_math_0012209
institution arXiv
publishDate 2000
record_format arxiv
spellingShingle Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs
Wright, Stephen J.
Optimization and Control
Numerical Analysis
90C30 (Primary); 90C55, 49M37 (Secondary)
In the vicinity of a solution of a nonlinear programming problem at which both strict complementarity and linear independence of the active constraints may fail to hold, we describe a technique for distinguishing weakly active from strongly active constraints. We show that this information can be used to modify the sequential quadratic programming algorithm so that it exhibits superlinear convergence to the solution under assumptions weaker than those made in previous analyses.
title Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs
topic Optimization and Control
Numerical Analysis
90C30 (Primary); 90C55, 49M37 (Secondary)
url https://arxiv.org/abs/math/0012209