We consider the problem of calculating the best possible bounds on the reliability of a system given limited information about the joint density function of its components. We show that a polynomial algorithm for this problem exists iff such an algorithm exists for a certain related problem of minimizing a linear objective function over a clutter. We give numerous examples of network as well as other problems for which the algorithm runs in polynomial time. We also use our construction to prove NP‐hardness for others.
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Eitan Zemel (1982) studied this question.
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