DocumentCode :
2738494
Title :
Multi-Valued Implicit Complementarity Problems: Perturbation Algorithm
Author :
Kalashnikov, Vyacheslav ; Kalashnykova, Nataliya ; Franco, Aarón Arévalo
Author_Institution :
Tecnologico de Monterrey, Monterrey
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
351
Lastpage :
351
Abstract :
In this paper, we present a method to solve multivalued implicit complementarity problems using a perturbation approach. First, we establish the existence of solutions to a perturbed multi-valued implicit complementarity problem with parameters. Then we show the convergence of selections of the solutions of the perturbed problem to a solution of the original problem and examine the convergence rate. Finally, we propose a numerical algorithm of the prediction- correction type to solve the multi-valued perturbed problem at each step. Convergence of this procedure is demonstrated as well.
Keywords :
optimisation; perturbation algorithm; perturbed multivalued implicit complementarity problem; Economic forecasting; Iterative algorithms; Iterative methods; Mathematical model; Mathematics; Nonlinear equations; Optimal control; Prediction algorithms; Region 8; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.400
Filename :
4427993
Link To Document :
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