Penalty Interior-Point Method Fails to Converge

Fuente: arXiv
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1. Verfasser: Leyffer, Sven
Format: Preprint
Veröffentlicht: 2003
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author Leyffer, Sven
author_facet Leyffer, Sven
contents Equilibrium equations in the form of complementarity conditions often appear as constraints in optimization problems. Problems of this type are commonly referred to as mathematical programs with complementarity constraints (MPCCs). A popular method for solving MPCCs is the penalty interior-point algorithm (PIPA). This paper presents a small example for which PIPA converges to a nonstationary point, providing a counterexample to the established theory. The reasons for this adverse behavior are discussed.
format Preprint
id arxiv_https___arxiv_org_abs_math_0310357
institution arXiv
publishDate 2003
record_format arxiv
spellingShingle Penalty Interior-Point Method Fails to Converge
Leyffer, Sven
Optimization and Control
Numerical Analysis
90C30; 90C33; 90C51; 49M37; 65K10
Equilibrium equations in the form of complementarity conditions often appear as constraints in optimization problems. Problems of this type are commonly referred to as mathematical programs with complementarity constraints (MPCCs). A popular method for solving MPCCs is the penalty interior-point algorithm (PIPA). This paper presents a small example for which PIPA converges to a nonstationary point, providing a counterexample to the established theory. The reasons for this adverse behavior are discussed.
title Penalty Interior-Point Method Fails to Converge
topic Optimization and Control
Numerical Analysis
90C30; 90C33; 90C51; 49M37; 65K10
url https://arxiv.org/abs/math/0310357