Title
A Linearly Convergent Derivative-Free Descent Method for Strongly Monotone Complementarity Problems
Abstract
We establish the first rate of convergence result for the class ofderivative-free descent methods for solving complementarity problems.The algorithm considered here isbased on the implicit Lagrangian reformulation[26, 35] of the nonlinear complementarity problem, andmakes use of the descent direction proposed in[42], but employs a different Armijo-type linesearch rule.We show that in the strongly monotone case,the iterates generated by the method converge globally at a linear rateto the solution of the problem.
Year
DOI
Venue
1999
10.1023/A:1008752626695
Comp. Opt. and Appl.
Keywords
Field
DocType
complementarity problems,implicit Lagrangian,descent algorithms,derivative-free methods,linear convergence
Complementarity (molecular biology),Mathematical optimization,Mathematical analysis,Strongly monotone,Complementarity theory,Descent direction,Lemke's algorithm,Mixed complementarity problem,Linear complementarity problem,Mathematics,Nonlinear complementarity problem
Journal
Volume
Issue
ISSN
14
1
1573-2894
Citations 
PageRank 
References 
5
0.55
14
Authors
2
Name
Order
Citations
PageRank
O. L. Mangasarian14803820.91
M. V. Solodov260072.47