Vol. 22 No. 4 (2023): Revista UIS Ingenierías
Articles

A local smoothing quasi-Newton algorithm for solving nonlinear complementarity problem

Camila Quirá Mosquera
Universidad Autónoma Indígena Intercultura
Rosana Pérez
Universidad del Cauca
Favián Arenas
Universidad del Cauca
Diego Correa
Universidad del Cauca

Published 2023-11-30

Keywords

  • nonlinear complementarity,
  • minimun complementarity function,
  • Jacobian smoothing method,
  • smoothing quasi-Newton method,
  • quadratic convergence,
  • nonlinear complementarity problems,
  • nonlinear programming,
  • Quasi-Newton methods,
  • systems of nonlinear equations,
  • generalized jacobian
  • ...More
    Less

How to Cite

Quirá Mosquera, C., Pérez, R., Arenas, F. ., & Correa, D. (2023). A local smoothing quasi-Newton algorithm for solving nonlinear complementarity problem. Revista UIS Ingenierías, 22(4), 147–164. https://doi.org/10.18273/revuin.v22n4-2023013

Abstract

Due to the importance and effectiveness of a Jacobian smoothing method or smoothing quasi-Newton method for solving the nonlinear complementarity problem and that the Minimum complementarity function has not been used in connection with such methods, in the present work, we propose an algorithm of that type, which uses the minimum function and a smoothing of it. We show that under certain hypotheses the proposed algorithm converges locally and q-quadratically. In addition, we present numerical tests that show a good performance of the algorithm.

 

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