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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ioannis Dritsas | |
dc.date.accessioned | 2017-04-30T13:31:40Z | - |
dc.date.available | 2017-04-30T13:31:40Z | - |
dc.date.issued | 2011 | |
dc.identifier.isbn | 978-953-307-829-8 | |
dc.identifier.uri | http://hdl.handle.net/123456789/131150 | - |
dc.description.abstract | Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in “fighting uncertainty with uncertainty†. This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields. | |
dc.language.iso | eng | |
dc.publisher | InTech | |
dc.relation.isbasedon | 10.5772/623 | |
dc.relation.uri | http://www.intechopen.com/books/stochastic-optimization-seeing-the-optimal-for-the-uncertain | |
dc.rights.uri | CC BY-NC-SA (姓名標示-非商業性-相同方式分享) | |
dc.source | InTech | |
dc.subject.classification | Computer and Information Science | |
dc.subject.classification | Numerical Analysis and Scientific Computing | |
dc.title | Stochastic Optimization - Seeing the Optimal for the Uncertain | |
dc.type | 電子教課書 | |
dc.classification | 自然科學類 | |
Theme: | 教科書-自然科學類 |
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