On the convergence of sampling algorithms for solving dynamic stochastic programming (Q2721958)

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scientific article; zbMATH DE number 1616996
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On the convergence of sampling algorithms for solving dynamic stochastic programming
scientific article; zbMATH DE number 1616996

    Statements

    11 July 2001
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    stochastic programming
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    epi-convergence
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    semicontinuity
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    On the convergence of sampling algorithms for solving dynamic stochastic programming (English)
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    The continuous multistage stochastic programming problem is considered. A finite approximation of the problem is constructed by means of sampling discrete points from the original sample space. The analysis is based on classical results on epi-convergence of equi-lower semicontinuous normal integrands. The known results on the two-stage and linear problems are generalised. The results presented in the paper may be useful also for the construction of new algorithms of the considered class.
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