On the Solution of Linear Complementarity Problem by A Stochastic Iteration Method
Abstract:
An earlier study proposed a stochastic algorithm based on a modified Robbins-Monroe type for the solution of finite-dimensional variational inequality problem. In this study we describe a similar approach for the linear complementarity problem. This study show that the stochastic algorithm arising from this approach converges strongly to the non-zero solution of the linear complementarity problem when it exists.
How to cite this article
C. Okoroafor Alfred and O. Osu Bright, 2006. On the Solution of Linear Complementarity Problem by A Stochastic Iteration Method. Journal of Applied Sciences, 6: 2685-2687.
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Okoroafor, A.C. and B.O. Osu, 2004. A stochastic iteration method for the solution of finite dimensional variational inequalities. J. Nig. Ass. Maths Phys., 8: 301-304.
Direct Link
Okoroafor, A.C. and B.O. Osu, 2005. A stochastic fixed point iteration for Markov operator in R. Global J. Pure Applied Sci., Vol. 3.
Whittle, P., 1976. Probability. John Wiley and Sons, USA
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