Splitting Methods in Communication, Imaging, Science, and Engineering

Roland Glowinski

ISBN 10: 3319415875 / ISBN 13: 9783319415871

Published by Springer International Publishing, 2017

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319415871

Bibliographic Details

• Title: Splitting Methods in Communication, Imaging, Science, and Engineering
• Publisher: Springer International Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 3319415875
• ISBN 13: 9783319415871
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 51D millimeters 241 millimeters width by 160 millimeters height by 51 millimeters depth
• Weight: 1408 grams

About this title

Synopsis

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.  

About the Author

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.