Splitting Methods in Communication, Imaging, Science, and Engineering

Name: Splitting Methods in Communication, Imaging, Science, and Engineering
Brand: Springer, Berlin, Springer, Springer International Publishing
SKU: 76779396
Price: 181.89 EUR
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ISBN: 3319415875

(Sprache: Englisch)

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Produktdetails

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Inhaltsverzeichnis
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Autorenporträt
Biblio. Angaben / Produktdetails

Produktinformationen zu „Splitting Methods in Communication, Imaging, Science, and Engineering “

Klappentext zu „Splitting Methods in Communication, Imaging, Science, and Engineering “

This book is about computational methods based on operator-splitting. The three editors, while all being applied mathematicians whose expertise include splitting methods, work in different application areas including computational mechanics, image processing, wireless communication, nonlinear optics (optical fibers), and so on. Therefore, the book will present very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas.

Inhaltsverzeichnis zu „Splitting Methods in Communication, Imaging, Science, and Engineering “

Introduction.- Some Facts about Operator-Splitting and Alternating Direction Methods.- Operator Splitting.- Convergence Rate Analysis of Several Splitting Schemes.- Self Equivalence of the Alternating Direction Method of Multipliers.- Application of the Strictly Contractive Peaceman-Rachford Splitting Method to Multi-block Separable Convex Programming.- Nonconvex Sparse Regularization and Splitting Algorithms.- ADMM and Non-convex Variational Problems.- Operator Splitting Methods in Compressive Sensing and Sparse Approximation.- First Order Algorithms in Variational Image Processing.- A Parameter Free ADI-like Method for the Numerical Solution of Large Scale Lyapunov Equations.- Splitting Enables Overcoming the Curse of Dimensionality.- ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning.- Decentralized Learning for Wireless Communications and Networking.- Splitting Methods for SPDEs: From Robustness to Financial Engineering, Optimal Control and Nonlinear Filtering.- Application of Operator Splitting Methods in Finance.- A Numerical Method to Solve Multi-marginal Optimal Transport Problems with Coulomb Cost.- Robust Split-step Fourier Methods for Simulating the Propagation of Ultra-short Pulses in Single- and Two-mode Optical Communication Fibers.- Operator Splitting Methods with Error Estimator and Adaptive Time-stepping: Application to the Simulation of Combustion Phenomena.- Operator Splitting Algorithms for Free Surface Flows: Application to Extrusion Processes.- An Operator Splitting Approach to the Solution of Fluid-structure Interaction Problems with Hemodynamics.- On Circular cluster Formation in a Rotating Suspension of Non-Brownian Settling Particles in a Fully Filled Circular Cylinder: An Operator Splitting Approach to the Numerical Simulation.

Autoren-Porträt

Roland Glowinski works in Computational Mechanics and Physics and more generally in areas involving the numerical solution of partial differential equations and inequalities. Stanley Osher is a Professor of Mathematics, Computer Science and Electrical Engineering at UCLA, and is an Associate Director of the NSF funded Institute for Pure and Applied Mathematics. Wotao Yin works in optimization theory, develops many fast algorithms for compressive sensing, image processing, medical imaging, wireless networking, etc.

Bibliographische Angaben

2016, 1st ed., XVIII, 820 Seiten, 130 farbige Abbildungen, 63 Schwarz-Weiß-Abbildungen, Maße: 16 x 24,1 cm, Gebunden, Englisch
Verlag: Springer, Berlin
ISBN-10: 3319415875
ISBN-13: 9783319415871
Erscheinungsdatum: 13.01.2017

Sprache:

Englisch

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