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Neural network approach to the solution of linear complementarity problems

✍ Scribed by S. Osowski

Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
808 KB
Volume
8
Category
Article
ISSN
0894-3370

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✦ Synopsis

Abstract

The paper presents the application of nonlinear neural optimization networks to solve the linear complementarity problem. Two different approaches are presented and investigated: one leading to linear and the second to quadratic optimization programming. The numerical results of illustrative examples are given and discussed.

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