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- W2396469729 abstract "This Dagstuhl seminar brought together researchers from statistical ranking and selection; experimental design and response-surface modeling; stochastic programming; approximate dynamic programming; optimal learning; and the design and analysis of computer experiments with the goal of attaining a much better mutual understanding of the commonalities and differences of the various approaches to sampling-based optimization, and to take firststeps toward an overarching theory, encompassing many of the topics above." @default.
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- W2396469729 date "2009-01-01" @default.
- W2396469729 modified "2023-09-23" @default.
- W2396469729 title "09181 Executive Summary -- Sampling-based Optimization in the Presence of Uncertainty" @default.
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