Abstract
Many computational problems can be expressed as finite sums of products of simple real functions. A method is presented to computational optimization of a sum of products over finite state space. The problem is reduced to searching for the optimal decomposition of a hypergraph defined by structure of the sum. The method is compared with Lauritzen and Spiegelhalter's method used for probability calculations on causal networks which is a special case of the problem under consideration.
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