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Titlebook: Foundations of Bilevel Programming; Stephan Dempe Book 2002 Springer Science+Business Media Dordrecht 2002 Optimality Conditions.algorithm

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書(shū)目名稱(chēng)Foundations of Bilevel Programming
編輯Stephan Dempe
視頻videohttp://file.papertrans.cn/347/346891/346891.mp4
叢書(shū)名稱(chēng)Nonconvex Optimization and Its Applications
圖書(shū)封面Titlebook: Foundations of Bilevel Programming;  Stephan Dempe Book 2002 Springer Science+Business Media Dordrecht 2002 Optimality Conditions.algorithm
描述Bilevel programming problems are hierarchical optimizationproblems where the constraints of one problem (the so-called upperlevel problem) are defined in part by a second parametric optimizationproblem (the lower level problem). If the lower level problem has aunique optimal solution for all parameter values, this problem isequivalent to a one-level optimization problem having an implicitlydefined objective function. Special emphasize in the book is onproblems having non-unique lower level optimal solutions, theoptimistic (or weak) and the pessimistic (or strong) approaches arediscussed. The book starts with the required results in parametricnonlinear optimization. This is followed by the main theoreticalresults including necessary and sufficient optimality conditions andsolution algorithms for bilevel problems. Stationarity conditions canbe applied to the lower level problem to transform the optimisticbilevel programming problem into a one-level problem. Properties ofthe resulting problem are highlighted and its relation to the bilevelproblem is investigated. Stability properties, numerical complexity,and problems having additional integrality conditions on the variablesare also d
出版日期Book 2002
關(guān)鍵詞Optimality Conditions; algorithms; linear optimization; modeling; nonlinear optimization; operations rese
版次1
doihttps://doi.org/10.1007/b101970
isbn_softcover978-1-4419-5220-2
isbn_ebook978-0-306-48045-4Series ISSN 1571-568X
issn_series 1571-568X
copyrightSpringer Science+Business Media Dordrecht 2002
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Origins of Complexity,rganization, and complex adaptive systems are part of this complex process. Lastly, the reciprocal relationship between diversity, cognition, and complexity is discussed as a means of establishing a bounded stability that allows life forms to survive.
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