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Robust Optimization: Optimization (Mathematics), Stochastic Programming, Random Variable, Penalty Function -

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2026-03-25
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, robust optimization is an approach in optimization to deal with uncertainty. It is similar to the recourse model of stochastic programming, in that some of the parameters are random variables, except that feasibility for all possible realizations (called scenarios) ... Visas aprašymas

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, robust optimization is an approach in optimization to deal with uncertainty. It is similar to the recourse model of stochastic programming, in that some of the parameters are random variables, except that feasibility for all possible realizations (called scenarios) is replaced by a penalty function in the objective. As such, the approach integrates goal programming with a scenario-based description of problem data.

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Leidėjas OmniScriptum
Išleidimo metai 2026
Viršelio tipas Minkšti viršeliai
EAN 9786132968913
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146,80 € 195,73 €