Titlebook: Deterministic Global Optimization; An Introduction to t Yaroslav D. Sergeyev,Dmitri E. Kvasov Book 2017 The Author(s) 2017 Deterministic gl

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Yaroslav D. Sergeyev,Dmitri E. KvasovContains a survey on Lipschitz deterministic global optimization methods.Outlines a new class of algorithms.Maximizes reader insights into multiextremal continuous problems.Includes case studies.Inclu

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https://doi.org/10.1007/978-3-319-48490-7onstant as done in the popular DIRECT method. The methods are thoroughly explained and illustrated in this final Chapter; their numerical comparison is reported; the application of an important practical signal processing problem is considered.

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Book 2017hods with examples of applications and problems arising in numerical testing of global optimizationalgorithms are discussed. Theoretical considerations are illustrated through engineering applications. Extensive numerical testing of algorithms described in this book stretches the likelihood of estab

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Lipschitz Global Optimization,izes, electrical and strength characteristics, etc.) describing a particular optimization model which provides the optimum (minimum or maximum) of a suitable objective function. Black-box multiextremal continuous problems with Lipschitz objective functions and functions having the first Lipschitz de