首页 | 本学科首页   官方微博 | 高级检索  
     


QPCOMP: A quadratic programming based solver for mixed complementarity problems
Authors:Stephen C. Billups  Michael C. Ferris
Affiliation:(1) Department of Mathematics, University of Colorado, 80217 Denver, CO, USA;(2) Computer Sciences Department, University of Wisconsin, 53706 Madison, WI, USA
Abstract:QPCOMP is an extremely robust algorithm for solving mixed nonlinear complementarity problems that has fast local convergence behavior. Based in part on the NE/SQP method of Pang and Gabriel [14], this algorithm represents a significant advance in robustness at no cost in efficiency. In particular, the algorithm is shown to solve any solvable Lipschitz continuous, continuously differentiable, pseudo-monotone mixed nonlinear complementarity problem. QPCOMP also extends the NE/SQP method for the nonlinear complementarity problem to the more general mixed nonlinear complementarity problem. Computational results are provided, which demonstrate the effectiveness of the algorithm. This material is based on research supported by National Science Foundation Grant CCR-9157632, Department of Energy Grant DE-FG03-94ER61915, and the Air Force Office of Scientific Research Grant F49620-94-1-0036.
Keywords:Complementarity problems  Variational inequalities  Proximal perturbations  Pseudomonotonicity
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号