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Titlebook: Global Optimization; A Stochastic Approac Stefan Sch?ffler Book 2012 Springer Science+Business Media New York 2012 Large scale optimization

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發(fā)表于 2025-3-21 19:31:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Global Optimization
副標(biāo)題A Stochastic Approac
編輯Stefan Sch?ffler
視頻videohttp://file.papertrans.cn/387/386433/386433.mp4
概述Presents a stochastic approach to the dynamic research field of global optimization.Covers relevant prerequisites from differential geometry and probability theory.Reinforces theory through the necess
叢書名稱Springer Series in Operations Research and Financial Engineering
圖書封面Titlebook: Global Optimization; A Stochastic Approac Stefan Sch?ffler Book 2012 Springer Science+Business Media New York 2012 Large scale optimization
描述.This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines including mathematics, operations research, engineering, and economics. The volume deals with constrained and unconstrained problems and puts a special emphasis on large scale problems. It also introduces a new unified concept for unconstrained, constrained, vector, and stochastic global optimization problems. All methods presented are illustrated by various examples. Practical numerical algorithms are given and analyzed in detail. .?.The topics presented include the randomized curve of steepest descent, the randomized curve of dominated points, the semi-implicit Euler method, the penalty approach, and active set strategies. The optimal decoding of block codes in digital communications is worked out as a case study and shows the potential and high practical relevance of this new approach..?.Global Optimization: A Stochastic Approach. is an elegant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications..
出版日期Book 2012
關(guān)鍵詞Large scale optimization; Predictor Corrector Method; Probability Theory on Manifolds; Randomized algor
版次1
doihttps://doi.org/10.1007/978-1-4614-3927-1
isbn_softcover978-1-4899-9280-2
isbn_ebook978-1-4614-3927-1Series ISSN 1431-8598 Series E-ISSN 2197-1773
issn_series 1431-8598
copyrightSpringer Science+Business Media New York 2012
The information of publication is updating

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978-1-4899-9280-2Springer Science+Business Media New York 2012
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1431-8598 ant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications..978-1-4899-9280-2978-1-4614-3927-1Series ISSN 1431-8598 Series E-ISSN 2197-1773
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Book 2012l relevance of this new approach..?.Global Optimization: A Stochastic Approach. is an elegant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications..
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Application: Optimal Decoding in Communications Engineering,
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