American Journal of Modeling and Optimization
ISSN (Print): 2333-1143 ISSN (Online): 2333-1267 Website: https://www.sciepub.com/journal/ajmo Editor-in-chief: Dr Anil Kumar Gupta
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American Journal of Modeling and Optimization. 2013, 1(1), 1-5
DOI: 10.12691/ajmo-1-1-1
Open AccessArticle

General Characterization of a Linear Complementarity Problem

Youssef Elfoutayeni1, and Mohamed Khaladi2

1Analysis, Modeling and Simulation Laboratory, University Hassan II Casablanca, Morocco

2MPD Laboratory, UCAM, Marrakech, Morocco and UMI UMMISCO, IRD - UPMC, Paris, France

Pub. Date: May 05, 2013

Cite this paper:
Youssef Elfoutayeni and Mohamed Khaladi. General Characterization of a Linear Complementarity Problem. American Journal of Modeling and Optimization. 2013; 1(1):1-5. doi: 10.12691/ajmo-1-1-1

Abstract

For a given matrix and a vector of, the linear complementarity problem LCP(A,b) is to find a vector in satisfying, and or showing that such a vector does not exist. Under various hypotheses on the matrix, LCP (A,b) was studied by many authors in the last decade. In previous papers we have developed algorithms for solving some classes of LCP (A,b). In this work, we give a general characterization of the solutions of LCP (A,b), we show under what conditions the problem has a solution or not and how to calculate the solution when they exist. We then apply this characterization to some examples and find the solutions or show that the problem LCP (A,b) has no solution.

Keywords:
linear complementarity problem system of linear equations P-matrix principal sub-matrix general characterization

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