Title
On the numerical solution of the quadratic eigenvalue complementarity problem
Abstract
The Quadratic Eigenvalue Complementarity Problem (QEiCP) is an extension of the Eigenvalue Complementarity Problem (EiCP) that has been introduced recently. Similar to the EiCP, the QEiCP always has a solution under reasonable hypotheses on the matrices included in its definition. This has been established in a previous paper by reducing a QEiCP of dimension n to a special 2n-order EiCP. In this paper we propose an enumerative algorithm for solving the QEiCP by exploiting this equivalence with an EiCP. The algorithm seeks a global minimum of a special Nonlinear Programming Problem (NLP) with a known global optimal value. The algorithm is shown to perform very well in practice but in some cases terminates with only an approximate optimal solution to NLP. Hence, we propose a hybrid method that combines the enumerative method with a fast and local semi-smooth method to overcome the latter drawback. This algorithm is also shown to be useful for computing a positive eigenvalue for an EiCP under similar assumptions. Computational experience is reported to demonstrate the efficacy and efficiency of the hybrid enumerative method for solving the QEiCP.
Year
DOI
Venue
2016
10.1007/s11075-015-0064-9
Numerical Algorithms
Keywords
Field
DocType
Eigenvalue problems,Complementarity problems,Nonlinear programming,Global optimization,65F15,90C33,90C30,90C26
Mathematical optimization,Global optimization,Matrix (mathematics),Mathematical analysis,Nonlinear programming,Quadratic equation,Complementarity theory,Equivalence (measure theory),Mixed complementarity problem,Eigenvalues and eigenvectors,Mathematics
Journal
Volume
Issue
ISSN
72
3
1017-1398
Citations 
PageRank 
References 
2
0.37
14
Authors
4
Name
Order
Citations
PageRank
Alfredo N. Iusem137462.67
Joaquim J. Judice2311.88
valentina sessa320.37
Hanif D. Sherali43403318.40