On the asymmetric eigenvalue complementarity problem

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...

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Bibliographic Details
Main Author: Joaquim J. Júdice (author)
Other Authors: Hanif D. Sherali (author), Isabel M. Ribeiro (author), Silvério S. Rosa (author)
Format: article
Language:eng
Published: 2009
Subjects:
Online Access:https://repositorio-aberto.up.pt/handle/10216/92130
Country:Portugal
Oai:oai:repositorio-aberto.up.pt:10216/92130
Description
Summary: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 defined by linear constraints. A sufficient condition for a stationary point of this function on 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 . 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.