核心 发表于 2025-3-28 15:49:20
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1571-568X em. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech niqu978-1-4419-4754-3978-1-4757-5331-8Series ISSN 1571-568Xindicate 发表于 2025-3-29 00:18:25
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Global Optimization for Stochastic Planning, Scheduling and Design Problems,ic demands. In both cases, it is shown that such relaxed reformulations can be solved to global optimality, since despite the presence of stochastic parameters the convexity properties of the original deterministic (i.e. without uncertainty) models are fully preserved. Finally, for the case of batch不在灌木丛中 发表于 2025-3-29 13:05:21
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