Computational Experience With Large Scale Linear Complementarity Problems

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Computational Experience with Large-scale Linear Complementarity Problems

Author: Stanford University. Department of Operations Research. Systems Optimization Laboratory
language: en
Publisher:
Release Date: 1974
This paper contains a brief summary of some computational experience acquired by the Systems Optimization Laboratory at Stanford University on linear complementarity problems of intermediate to large size. (Author).
Topological Methods in Complementarity Theory

Author: G. Isac
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-04-17
Complementarity theory is a new domain in applied mathematics and is concerned with the study of complementarity problems. These problems represent a wide class of mathematical models related to optimization, game theory, economic engineering, mechanics, fluid mechanics, stochastic optimal control etc. The book is dedicated to the study of nonlinear complementarity problems by topological methods. Audience: Mathematicians, engineers, economists, specialists working in operations research and anybody interested in applied mathematics or in mathematical modeling.