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Stochastic approximation approach to statistical circuit design

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Abstract

An application of an algorithm of stochastic approximation (SA) to statistical circuit design (yield optimisation) is proposed. Fast initial convergence of the algorithm, typical for all SA methods, has been practically demonstrated. The SA methods offer a theoretical background for the statistical circuit design, which has been lacking in mostly heuristic algorithms developed so far.

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