On the asymmetric eigenvalue complementarity problem

  • Authors:
  • Joaquim J. Judice;Hanif D. Sherali;Isabel M. Ribeiro;Silverio S. Rosa

  • Affiliations:
  • Departamento de Matematica da Universidade de Coimbra and Instituto de Telecomunicacoes, Coimbra, Portugal;Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA;Seccao de Matematica do Departamento de Engenharia Civil, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal;Departamento de Matematica da Universidade da Beira Interior, Covilha, Portugal

  • Venue:
  • Optimization Methods & Software - GLOBAL OPTIMIZATION
  • Year:
  • 2009

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Abstract

In this paper, we discuss the eigenvalue complementarity problem (EiCP) where at least one of its defining matrices is asymmetric. A sufficient condition for the existence of a solution to the EiCP is established. The EiCP is shown to be equivalent to finding a global minimum of an appropriate merit function on a convex set Ω defined by linear constraints. A sufficient condition for a stationary point of this function on Ω to be a solution of the EiCP is presented. A branch-and-bound procedure is developed for finding a global minimum of this merit function on Ω. In addition, a sequential enumerative algorithm for the computation of the minimum and the maximum eigenvalues is also discussed. Computational experience is included to highlight the efficiency and efficacy of the proposed methodologies to solve the asymmetric EiCP.