
doi: 10.1007/bf01583789
handle: 2027.42/47910
We consider the linear complementarity problem (q, M) in which M is a positive definite symmetric matrix of order n. This problem is equivalent to a nearest point problem [/'; b] in which F = {A4, ..., A~} is a basis for R", b is a given point in R'; and it is required to find the nearest point in the simplicial cone Pos(F) to b. We develop an algorithm for solving the linear complementarity problem (q,M) or the equivalent nearest point problem [Y;b]. Computational experience in comparison with an existing algorithm is presented.
Optimization, dimension reduction, Science, Critical Index, Orthogonal Projection, Simplicial Cone, Mathematical Methods in Physics, critical index algorithm, nearest point problems, computational experience, Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming), Numerical Analysis, positive definite symmetric matrix, Numerical and Computational Methods, orthogonal projection, Nearest Point, simplicial cones, Dimension Reduction, linear complementarity problem, Calculus of Variations and Optimal Control, Combinatorics, Mathematical and Computational Physics, Mathematics of Computing, Linear Complementarity Problem, Operation Research/Decision Theory, Mathematics
Optimization, dimension reduction, Science, Critical Index, Orthogonal Projection, Simplicial Cone, Mathematical Methods in Physics, critical index algorithm, nearest point problems, computational experience, Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming), Numerical Analysis, positive definite symmetric matrix, Numerical and Computational Methods, orthogonal projection, Nearest Point, simplicial cones, Dimension Reduction, linear complementarity problem, Calculus of Variations and Optimal Control, Combinatorics, Mathematical and Computational Physics, Mathematics of Computing, Linear Complementarity Problem, Operation Research/Decision Theory, Mathematics
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