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Titlebook: Global Optimization in Action; Continuous and Lipsc János D. Pintér Book 1996 Springer Science+Business Media Dordrecht 1996 algorithm.algo

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发表于 2025-3-21 18:09:10 | 显示全部楼层 |阅读模式
书目名称Global Optimization in Action
副标题Continuous and Lipsc
编辑János D. Pintér
视频video
丛书名称Nonconvex Optimization and Its Applications
图书封面Titlebook: Global Optimization in Action; Continuous and Lipsc János D. Pintér Book 1996 Springer Science+Business Media Dordrecht 1996 algorithm.algo
描述In science, engineering and economics, decision problems arefrequently modelled by optimizing the value of a (primary) objectivefunction under stated feasibility constraints. In many cases ofpractical relevance, the optimization problem structure does notwarrant the global optimality of local solutions; hence, it is naturalto search for the globally best solution(s). ..Global Optimization in Action. provides a comprehensivediscussion of adaptive partition strategies to solve globaloptimization problems under very general structural requirements. Aunified approach to numerous known algorithms makes possiblestraightforward generalizations and extensions, leading to efficientcomputer-based implementations. A considerable part of the book isdevoted to applications, including some generic problems fromnumerical analysis, and several case studies in environmental systemsanalysis and management. The book is essentially self-contained and isbased on theauthor‘s research, in cooperation (on applications) witha number of colleagues. ..Audience:. Professors, students, researchers and otherprofessionals in the fields of operations research, managementscience, industrial and applied mathematics
出版日期Book 1996
关键词algorithm; algorithms; clustering; complex system; global optimization; model; modeling; numerical analysis
版次1
doihttps://doi.org/10.1007/978-1-4757-2502-5
isbn_softcover978-1-4419-4751-2
isbn_ebook978-1-4757-2502-5Series ISSN 1571-568X
issn_series 1571-568X
copyrightSpringer Science+Business Media Dordrecht 1996
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发表于 2025-3-21 21:41:27 | 显示全部楼层
1571-568X er stated feasibility constraints. In many cases ofpractical relevance, the optimization problem structure does notwarrant the global optimality of local solutions; hence, it is naturalto search for the globally best solution(s). ..Global Optimization in Action. provides a comprehensivediscussion of
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,Information Processing—Why and How?,re general than the case of interval or simplex feasible regions studied in previous chapters of Part 2: consequently, it is not obvious how a PAS type strategy could be directly realized for solving (2.6.1).
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https://doi.org/10.1007/978-3-319-41187-3s; . is the symbol of mathematical expectation (the expected values are supposed to exist). Note that (3.6.1) is a fairly general stochastic programming model form; it encompasses—under suitable transformations—the ‘model block’ and types discussed in the previous chapter.
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Partition Methods on General Convex and Star Setsre general than the case of interval or simplex feasible regions studied in previous chapters of Part 2: consequently, it is not obvious how a PAS type strategy could be directly realized for solving (2.6.1).
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