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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 44 (1993), S. 93-113 
    ISSN: 1572-9338
    Keywords: Variational inequality problem ; nonlinear complementarity problem ; simplicial algorithm ; triangulation ; piecewise linear approximation ; convergence condition
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract In this paper we propose a variable dimension simplicial algorithm for solving the variational inequality problem on the cross product of the nonnegative orthant ℝ + m of them-dimensional Euclidean space ℝ m and then-dimensional unit simplexS n of ℝ n+1. Starting from an arbitrary point (u, v) єℝ + m ×S n, the algorithm generates a piecewise linear path in ℝ + m ×S n. The path is traced by making alternately linear programming pivot operations and replacement steps in an appropriate simplicial subdivision of ℝ + m ×S n. The algorithm differs from the thus far known algorithm in the number of directions in which it may leave the starting point. More precisely, the algorithm has (n+1)2 m rays to leave the starting point whereas the existing algorithm hasn+m+1 rays. A convergence condition is presented and the accuracy estimation of an approximate solution generated is also given.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical programming 24 (1982), S. 177-215 
    ISSN: 1436-4646
    Keywords: Variable Dimension Algorithm ; Fixed Point ; Subdivided Manifold ; Nonlinear Equations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract In this paper we establish a basic theory for variable dimension algorithms which were originally developed for computing fixed points by Van der Laan and Talman. We introduce a new concept ‘primal—dual pair of subdivided manifolds’ and by utilizing it we propose a basic model which will serve as a foundation for constructing a wide class of variable dimension algorithms. Our basic model furnishes interpretations to several existing methods: Lemke's algorithm for the linear complementarity problem, its extension to the nonlinear complementarity problem, a variable dimension algorithm on conical subdivisions and Merrill's algorithm. We shall present a method for solving systems of equations as an application of the second method and an efficient implementation of the fourth method to which our interpretation leads us. A method for constructing triangulations with an arbitrary refinement factor of mesh size is also proposed.
    Type of Medium: Electronic Resource
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