Titlebook: Stochastic Decomposition; A Statistical Method Julia L. Higle,Suvrajeet Sen Book 1996 Springer Science+Business Media Dordrecht 1996 Mathem

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書目名稱Stochastic Decomposition影響因子(影響力)




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Stabilizing Stochastic Decomposition,tes the impact of the procedure for updating the cutting planes. Specifically, while this mechanism ensures that the objective function approximation is asymptotically accurate near the iterates, it also ensures that any given cutting plane will eventually become redundant.

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Book 1996ch the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air- line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of t

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Stopping Rules for Stochastic Decomposition,any practical computer implementation requires effective stopping criteria. It is important to recognize that when using sampled data to solve a problem, standard deterministic stopping rules are inadequate. We will develop specialized optimality tests that take advantage of the information generated during the course of the SD algorithm.

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Stabilizing Stochastic Decomposition,proximations developed by an SD algorithm are considerably less accurate than the sample mean function, the SD approximations are sufficiently accurate to ensure asymptotic optimality for a subsequence of iterates. Moreover, the manner in which the objective function approximation is updated as addi