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Home > Splitting Methods in Communication, Imaging, Science, and Engineering > ADMM and Non-convex Variational Problems
Splitting Methods in Communication, Imaging, Science, and Engineering |
Roland Glowinski; Stanley J. Osher; Wotao Yin
Springer International Publishing
Splitting Methods in Communication, Imaging, Science, and Engineering
ADMM and Non-convex Variational Problems
Authors

Roland Glowinski

ARI Id

1664362516487_1371052

Access

Not Available Free

Pages

251-299

DOI

10.1007/978-3-319-41589-5_8

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-41589-5_8

Table of Contents of Book
Showing 1 to 20 of 25 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xviii
Introduction
Roland Glowinski; Stanley J. Osher; Wotao Yin
1-17
Some Facts About Operator-Splitting and Alternating Direction Methods
Roland Glowinski; Tsorng-Whay Pan; Xue-Cheng Tai
19-94
Operator Splitting
Shev MacNamara; Gilbert Strang
95-114
Convergence Rate Analysis of Several Splitting Schemes
Damek Davis; Wotao Yin
115-163
Self Equivalence of the Alternating Direction Method of Multipliers
Ming Yan; Wotao Yin
165-194
Application of the Strictly Contractive Peaceman-Rachford Splitting Method to Multi-Block Separable Convex Programming
Bingsheng He; Han Liu; Juwei Lu; Xiaoming Yuan
195-235
Nonconvex Sparse Regularization and Splitting Algorithms
Rick Chartrand; Wotao Yin
237-249
ADMM and Non-convex Variational Problems
Roland Glowinski
251-299
Operator Splitting Methods in Compressive Sensing and Sparse Approximation
Tom Goldstein; Xiaoqun Zhang
301-343
First Order Algorithms in Variational Image Processing
M. Burger; A. Sawatzky; G. Steidl
345-407
A Parameter Free ADI-Like Method for the Numerical Solution of Large Scale Lyapunov Equations
Danny C. Sorensen
409-425
Splitting Enables Overcoming the Curse of Dimensionality
Jérôme Darbon; Stanley J. Osher
427-432
ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning
Yue Hu; Eric C. Chi; Genevera I. Allen
433-459
Decentralized Learning for Wireless Communications and Networking
Georgios B. Giannakis; Qing Ling; Gonzalo Mateos; Ioannis D. Schizas; Hao Zhu
461-497
Splitting Methods for SPDEs: From Robustness to Financial Engineering, Optimal Control, and Nonlinear Filtering
Christian Bayer; Harald Oberhauser
499-539
Application of Operator Splitting Methods in Finance
Karel in’t Hout; Jari Toivanen
541-575
A Numerical Method to Solve Multi-Marginal Optimal Transport Problems with Coulomb Cost
Jean-David Benamou; Guillaume Carlier; Luca Nenna
577-601
Robust Split-Step Fourier Methods for Simulating the Propagation of Ultra-Short Pulses in Single- and Two-Mode Optical Communication Fibers
Ralf Deiterding; Stephen W. Poole
603-625
Operator Splitting Methods with Error Estimator and Adaptive Time-Stepping. Application to the Simulation of Combustion Phenomena
Stéphane Descombes; Max Duarte; Marc Massot
627-641
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 25 entries
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