An Infeasible-Interior-Point Predictor-Corrector Algorithm for the P*-Geometric LCP

M. Anitescu, G. Lesaja, F. A. Potra

Research output: Contribution to journalArticlepeer-review

Abstract

A P*-geometric linear complementarity problem (P*GP) as a generalization of the monotone geometric linear complementarity problem is introduced. In particular, it contains the monotone standard linear complementarity problem and the horizontal linear complementarity problem. Linear and quadratic programming problems can be expressed in a "natural" way (i.e., without any change of variables) as P*GP. It is shown that the algorithm of Mizuno et al. [6] can be extended to solve the P*GP The extended algorithm is globally convergent and its computational complexity depends on the quality of the starting points. The algorithm is quadratically convergent for problems having a strictly complementary solution.

Original languageAmerican English
JournalApplied Mathematics and Optimization
Volume36
DOIs
StatePublished - Sep 1 1997

Disciplines

  • Education
  • Mathematics

Keywords

  • Algorithm
  • Geometric
  • Infeasible-Inferior-Point
  • LCP
  • Predictor-Corrector

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