Title
On the solution of the symmetric eigenvalue complementarity problem by the spectral projected gradient algorithm
Abstract
This paper is devoted to the Eigenvalue Complementarity Problem (EiCP) with symmetric real matrices. This problem is equivalent to finding a stationary point of a dier- entiable optimization program involving the Rayleigh quotient on a simplex (22). We discuss a logarithmic function and a quadratic programming formulation to find a complementarity eigen- value by computing a stationary point of an appropriate merit function on a special convex set. A variant of the spectral projected gradient algorithm with a specially designed line search is introduced to solve the EiCP. Computational experience shows that the application of this algorithm to the logarithmic function formulation is a quite ecient way to find a solution to the symmetric EiCP.
Year
DOI
Venue
2008
10.1007/s11075-008-9194-7
Numerical Algorithms
Keywords
Field
DocType
Complementarity,Projected gradient algorithms,Eigenvalue problems
Rayleigh quotient,Mathematical optimization,Mathematical analysis,Algorithm,Complementarity theory,Stationary point,Differentiable function,Divide-and-conquer eigenvalue algorithm,Linear complementarity problem,Mixed complementarity problem,Quadratic programming,Mathematics
Journal
Volume
Issue
ISSN
47
4
1017-1398
Citations 
PageRank 
References 
37
1.56
8
Authors
4
Name
Order
Citations
PageRank
Joaquim J. Júdice112610.30
Marcos Raydan273364.01
Silvério S. Rosa3674.03
Sandra A. Santos416821.53