Use of a Monte Carlo method in an algorithm which solves a set of functional inequalities |
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| Authors: | A. J. Heunis |
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| Affiliation: | (1) Department of Electrical Engineering, Imperial College, London, England |
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| Abstract: | This paper shows how an existing algorithm, which is used in computer-aided design problems for solving a set of functional inequalities, may be modified by the inclusion of a Monte Carlo method to give a stochastic algorithm, which is easier to implement than its deterministic original and which solves the given set of functional inequalities almost surely. |
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| Keywords: | Functional inequalities approximate maximization uniform scattering of points probability triple almost sure convergence |
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