Variational inequality formulation of the asymmetric eigenvalue complementarity problem and its solution by means of gap functions
Brás, M.
; Fukushima, M.
;
Júdice, J. J.
;
Rosa, S.
Pacific Journal of Optimization Vol. 8, Nº 2, pp. 197 - 215, April, 2012.
ISSN (print): 1349-8169
ISSN (online): 1348-9151
Scimago Journal Ranking: 0,47 (in 2012)
Digital Object Identifier:
Abstract
In this paper, the solution of the asymmetric eigenvalue complementarity problem (EiCP) is investigated by means of a variational inequality formulation. This problem is then solved by finding a stationary point of the gap function and the regularized gap function. A nonlinear programming formulation of the EiCP results from the gap function. A hybrid algorithm combining a projection technique and a modified Josephy-Newton method is proposed to solve the EiCP by finding a stationary point of the regularized gap function. Numerical results show that the proposed method can in general solve EiCPs efficiently.
