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Titlebook: Splitting Algorithms, Modern Operator Theory, and Applications; Heinz H. Bauschke,Regina S. Burachik,D. Russell Lu Book 2019 Springer Natu

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书目名称Splitting Algorithms, Modern Operator Theory, and Applications
编辑Heinz H. Bauschke,Regina S. Burachik,D. Russell Lu
视频video
概述Brings together research articles and state-of-the-art surveys in broad areas of optimization and numerical analysis.Theory and applications are presented in novel and insightful ways.Focuses on algor
图书封面Titlebook: Splitting Algorithms, Modern Operator Theory, and Applications;  Heinz H. Bauschke,Regina S. Burachik,D. Russell Lu Book 2019 Springer Natu
描述This book brings together research articles and state-of-the-art surveys in broad areas of optimization and numerical analysis with particular emphasis on algorithms. The discussion also focuses on advances in monotone operator theory and other topics from variational analysis and nonsmooth optimization, especially as they pertain to algorithms and concrete, implementable methods.   The theory of monotone operators is a central framework for understanding and analyzing splitting algorithms. Topics discussed in the volume were presented at the interdisciplinary workshop titled Splitting Algorithms, Modern Operator Theory, and Applications held in Oaxaca, Mexico in September, 2017. Dedicated to Jonathan M. Borwein, one of the most versatile mathematicians in contemporary history, this compilation brings theory together with applications in novel and insightful ways..
出版日期Book 2019
关键词operator splitting methods; monotone operators and optimization algortihms; monotone operators; quantif
版次1
doihttps://doi.org/10.1007/978-3-030-25939-6
isbn_softcover978-3-030-25941-9
isbn_ebook978-3-030-25939-6
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Book 2019hms, Modern Operator Theory, and Applications held in Oaxaca, Mexico in September, 2017. Dedicated to Jonathan M. Borwein, one of the most versatile mathematicians in contemporary history, this compilation brings theory together with applications in novel and insightful ways..
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Convergence Rate of Proximal Inertial Algorithms Associated with Moreau Envelopes of Convex Functiotion .. The guiding idea is to use an accelerated proximal scheme where, at each step, . is replaced by its Moreau envelope, with varying approximation parameter. This leads to consider a Relaxed Inertial Proximal Algorithm (RIPA) with variable parameters which take into account the effects of inert
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