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Titlebook: Introduction to Optimization Analysis in Hydrosystem Engineering; Ehsan Goodarzi,Mina Ziaei,Edward Zia Hosseinipour Book 2014 Springer Int

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發(fā)表于 2025-3-25 03:36:14 | 只看該作者
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Topics in Safety, Risk, Reliability and Qualityhttp://image.papertrans.cn/i/image/474003.jpg
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發(fā)表于 2025-3-25 15:10:02 | 只看該作者
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發(fā)表于 2025-3-25 18:35:15 | 只看該作者
Using Optimization in Wellfield Operations: An Implementation Case Study at Tampa Bay Water,This chapter includes simulation–optimization analysis of water supply in central Florida using integrated surface and groundwater modeling to allocate groundwater pumping that is protective of the natural ecosystem while meeting water supply demands of over 2 million people using a mix of surface water, groundwater and desalinated water.
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發(fā)表于 2025-3-25 21:24:56 | 只看該作者
978-3-319-38091-9Springer International Publishing Switzerland 2014
26#
發(fā)表于 2025-3-26 04:03:52 | 只看該作者
Introduction to Optimization Analysis in Hydrosystem Engineering978-3-319-04400-2Series ISSN 1566-0443 Series E-ISSN 2215-0285
27#
發(fā)表于 2025-3-26 05:07:41 | 只看該作者
28#
發(fā)表于 2025-3-26 12:15:05 | 只看該作者
Linear Optimization,phical and simplex solution methods for solving linear optimization problems are illustrated step by step. In addition, the applications of simplex method in solving water distribution network and one and two dimensional confined aquifer optimization problems using the Solver tool in Excel are presented.
29#
發(fā)表于 2025-3-26 14:35:01 | 只看該作者
Optimization Analysis Using LINGO and MATLAB,e process of solving both single and multiobjective optimization problems using those programs is presented in details. Furthermore, a number of useful examples are provided and solved step by step to better understand the application of LINGO and MATLAB in solving linear and nonlinear optimization problems.
30#
發(fā)表于 2025-3-26 19:01:19 | 只看該作者
Reservoir Operation Management by Optimization and Stochastic Simulation: A Case Study,s applied to determine optimum operational parameters and the synthetic inflows are generated using the Monte Carlo simulation method. The results demonstrated that the applied methods could efficiently optimize the current operational policy of an existing reservoir in a single-objective framework.
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