Titlebook: Global Optimization in Engineering Design; Ignacio E. Grossmann Book 1996 Springer Science+Business Media Dordrecht 1996 RSI.algorithms.ca

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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 1571-568X

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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

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