| 書目名稱 | Foundations of Mathematical Optimization |
| 副標題 | Convex Analysis with |
| 編輯 | Diethard Pallaschke,Stefan Rolewicz |
| 視頻video | http://file.papertrans.cn/348/347053/347053.mp4 |
| 叢書名稱 | Mathematics and Its Applications |
| 圖書封面 |  |
| 描述 | Many books on optimization consider only finite dimensionalspaces. This volume is unique in its emphasis: the first threechapters develop optimization in spaces without linear structure, andthe analog of convex analysis is constructed for this case. Many newresults have been proved specially for this publication. In thefollowing chapters optimization in infinite topological and normedvector spaces is considered. The novelty consists in using the dropproperty for weak well-posedness of linear problems in Banach spacesand in a unified approach (by means of the Dolecki approximation) tonecessary conditions of optimality. The method of reduction ofconstraints for sufficient conditions of optimality is presented. Thebook contains an introduction to non-differentiable and vectoroptimization. ..Audience:. This volume will be of interest to mathematicians,engineers, and economists working in mathematical optimization. |
| 出版日期 | Book 1997 |
| 關(guān)鍵詞 | Approximation; Mathematica; optimization; vector optimization |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-94-017-1588-1 |
| isbn_softcover | 978-90-481-4800-4 |
| isbn_ebook | 978-94-017-1588-1 |
| copyright | Springer Science+Business Media Dordrecht 1997 |
|Archiver|手機版|小黑屋|
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