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Titlebook: Stochastic Programming 84, Part II; Andras Prékopa,Roger J.- B. Wets Book 1986Latest edition Springer-Verlag Berlin Heidelberg 1986 algori

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Linearization methods for optimization of functionals which depend on probability measures,epend on distribution functions. The objective function and constraints are assumed to be nonlinear and to have directional derivatives. The proposed algorithm is based on duality relations between the linearized problem and some special finite-dimensional minimax problem and is of the feasible-dire
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Multistage stochastic programs with block-separable recourse,ecourse. Examples of applications where this property can be found are given. The equivalence of multistage programs with block-separable recourse and two-stage programs is shown and the algorithmic implications of block-separability are studied.
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Springer-Verlag Berlin Heidelberg 1986
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0303-3929 Overview: 978-3-642-00927-3Series ISSN 0303-3929 Series E-ISSN 2364-8201
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Mathematical Programming Studieshttp://image.papertrans.cn/s/image/878148.jpg
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