Cantitate/Preț
Produs

Splitting Methods in Communication, Imaging, Science, and Engineering: Scientific Computation

Editat de Roland Glowinski, Stanley J. Osher, Wotao Yin
en Limba Engleză Hardback – 13 ian 2017
This book is about computational methods based on operator splitting.   It consists of twenty-three chapters written by recognized splitting method contributors and practitioners, and covers a vast spectrum of topics and application areas, including computational mechanics, computational physics, image processing, wireless communication, nonlinear optics, and finance. Therefore, the book presents very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas.  
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 110089 lei  6-8 săpt.
  Springer International Publishing – 7 iul 2018 110089 lei  6-8 săpt.
Hardback (1) 110735 lei  6-8 săpt.
  Springer International Publishing – 13 ian 2017 110735 lei  6-8 săpt.

Din seria Scientific Computation

Preț: 110735 lei

Preț vechi: 135043 lei
-18% Nou

Puncte Express: 1661

Preț estimativ în valută:
21191 22287$ 17706£

Carte tipărită la comandă

Livrare economică 08-22 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319415871
ISBN-10: 3319415875
Pagini: 777
Ilustrații: XVIII, 820 p. 194 illus., 111 illus. in color.
Dimensiuni: 155 x 235 x 44 mm
Greutate: 1.34 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Scientific Computation

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

This book is about computational methods based on operator splitting.   It consists of twenty-three chapters written by recognized splitting method contributors and practitioners, and covers a vast spectrum of topics and application areas, including computational mechanics, computational physics, image processing, wireless communication, nonlinear optics, and finance. Therefore, the book presents very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas.  

Caracteristici

No other book on splitting methods published in the last 10 years Includes applications that cover a wide variety of scientific areas Editors and authors include top international researchers in multiple areas Includes supplementary material: sn.pub/extras