Stochastic Optimization Methods
This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are needed....
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| 第一著者: | |
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| フォーマット: | 図書 |
| 言語: | English |
| 出版事項: |
Springer
2015
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| 主題: | |
| オンライン･アクセス: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58242 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| 要約: | This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. |
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