| 書目名稱 | Large-Scale Optimization with Applications |
| 副標(biāo)題 | Part I: Optimization |
| 編輯 | Lorenz T. Biegler,Thomas F. Coleman,Fadil N. Santo |
| 視頻video | http://file.papertrans.cn/582/581399/581399.mp4 |
| 叢書名稱 | The IMA Volumes in Mathematics and its Applications |
| 圖書封面 |  |
| 描述 | Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserv |
| 出版日期 | Book 1997 |
| 關(guān)鍵詞 | Optimization algorithm; Optimization algorithms; Simulation; algorithm; algorithms; chemical engineering; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-1962-0 |
| isbn_softcover | 978-1-4612-7357-8 |
| isbn_ebook | 978-1-4612-1962-0Series ISSN 0940-6573 Series E-ISSN 2198-3224 |
| issn_series | 0940-6573 |
| copyright | Springer Science+Business Media New York 1997 |
|Archiver|手機(jī)版|小黑屋|
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