Variational Inequality Formulation of the Asymmetric
Eigenvalue Complementarity Problem and Its Solution by Means of
Gap Functions
Carmo P. Brás, Masao
Fukushima, Joaquim J. Júdice, Silvério Rosa
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.