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Abstract
This paper deals with a new parallel method for solving one-dimensional global optimization problems. We present the formulation of the decision rules of this method, the conditions for its nonredundant parallelization, the generalization for solving multi-dimensional problems and its implementation on a transputer system. There is also an account of some numerical experiments.
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