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Matrix splitting iteration methods have emerged as potent tools in addressing complementarity problems, which frequently arise in optimisation, economics and engineering applications.
We prove that the classic policy-iteration method [Howard, R. A. 1960. Dynamic Programming and Markov Processes. MIT, Cambridge] and the original simplex method with the most-negative-reduced-cost ...
A parallel chaotic multisplitting method for solving the large sparse linear complementarity problem is presented, and its convergence properties are discussed in detail when the system matrix is ...
Learn how to represent iteration in programming with Bitesize KS3 Computer Science.
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