Global convergence enhancement of classical linesearch interior point methods for MCPs

  • Authors:
  • Stefania Bellavia;Benedetta Morini

  • Affiliations:
  • Dipartimento di Energetica "S. Stecco", University of Florence, via C. Lombroso 6/17, 50134 Florence, Italy;Dipartimento di Energetica "S. Stecco", University of Florence, via C. Lombroso 6/17, 50134 Florence, Italy

  • Venue:
  • Journal of Computational and Applied Mathematics
  • Year:
  • 2003

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Abstract

Recent works have shown that a wide class of globally convergent interior point methods may manifest a weakness of convergence. Failures can be ascribed to the procedure of linesearch along the Newton step. In this paper, we introduce a globally convergent interior point method which performs backtracking along a piecewise linear path. Theoretical and computational results show the effectiveness of our proposal.