| 书目名称 | Global Optimization in Engineering Design | | 编辑 | Ignacio E. Grossmann | | 视频video | | | 丛书名称 | Nonconvex Optimization and Its Applications | | 图书封面 |  | | 描述 | Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. 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 niqu | | 出版日期 | Book 1996 | | 关键词 | RSI; algorithms; calculus; engineering design; linear optimization; modeling; nonlinear optimization; optim | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-5331-8 | | isbn_softcover | 978-1-4419-4754-3 | | isbn_ebook | 978-1-4757-5331-8Series ISSN 1571-568X | | issn_series | 1571-568X | | copyright | Springer Science+Business Media Dordrecht 1996 |
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发表于 2025-3-21 17:26:15
