语系:
簡体中文
English
日文
繁體中文
说明
登入
回上页
切换:
标签
|
MARC模式
|
ISBD
Splitting methods in communication, ...
~
Glowinski, Roland.
Splitting methods in communication, imaging, science, and engineering[electronic resource] /
纪录类型:
书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:
518
[NT 47271] Title/Author:
Splitting methods in communication, imaging, science, and engineering/ edited by Roland Glowinski, Stanley J. Osher, Wotao Yin.
[NT 51406] other author:
Glowinski, Roland.
出版者:
Cham : : Springer International Publishing :, 2016.
面页册数:
xviii, 820 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
标题:
Splitting extrapolation method.
标题:
Mathematics.
标题:
Computational Mathematics and Numerical Analysis.
标题:
Image Processing and Computer Vision.
标题:
Numerical and Computational Physics, Simulation.
标题:
Optimization.
ISBN:
9783319415895
ISBN:
9783319415871
[NT 15000228] null:
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.
[NT 15000229] null:
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.
电子资源:
http://dx.doi.org/10.1007/978-3-319-41589-5
Splitting methods in communication, imaging, science, and engineering[electronic resource] /
Splitting methods in communication, imaging, science, and engineering
[electronic resource] /edited by Roland Glowinski, Stanley J. Osher, Wotao Yin. - Cham :Springer International Publishing :2016. - xviii, 820 p. :ill., digital ;24 cm. - Scientific computation,1434-8322. - Scientific computation..
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.
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.
ISBN: 9783319415895
Standard No.: 10.1007/978-3-319-41589-5doiSubjects--Topical Terms:
688846
Splitting extrapolation method.
LC Class. No.: QA297.5 / .S65 2016
Dewey Class. No.: 518
Splitting methods in communication, imaging, science, and engineering[electronic resource] /
LDR
:03392nam a2200325 a 4500
001
477344
003
DE-He213
005
20170105162604.0
006
m d
007
cr nn 008maaau
008
181208s2016 gw s 0 eng d
020
$a
9783319415895
$q
(electronic bk.)
020
$a
9783319415871
$q
(paper)
024
7
$a
10.1007/978-3-319-41589-5
$2
doi
035
$a
978-3-319-41589-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA297.5
$b
.S65 2016
072
7
$a
PBKS
$2
bicssc
072
7
$a
MAT006000
$2
bisacsh
082
0 4
$a
518
$2
23
090
$a
QA297.5
$b
.S761 2016
245
0 0
$a
Splitting methods in communication, imaging, science, and engineering
$h
[electronic resource] /
$c
edited by Roland Glowinski, Stanley J. Osher, Wotao Yin.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xviii, 820 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Scientific computation,
$x
1434-8322
505
0
$a
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.
520
$a
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.
650
0
$a
Splitting extrapolation method.
$3
688846
650
1 4
$a
Mathematics.
$3
172349
650
2 4
$a
Computational Mathematics and Numerical Analysis.
$3
464565
650
2 4
$a
Image Processing and Computer Vision.
$3
463967
650
2 4
$a
Numerical and Computational Physics, Simulation.
$3
669486
650
2 4
$a
Optimization.
$3
463683
700
1
$a
Glowinski, Roland.
$3
688843
700
1
$a
Osher, Stanley J.
$3
688844
700
1
$a
Yin, Wotao.
$3
688845
710
2
$a
SpringerLink (Online service)
$3
463450
773
0
$t
Springer eBooks
830
0
$a
Scientific computation.
$3
469575
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-41589-5
950
$a
Mathematics and Statistics (Springer-11649)
读者评论 0 笔
多媒体
多媒体档案
http://dx.doi.org/10.1007/978-3-319-41589-5
评论
新增评论
分享你的心得
Export
[NT 5501410] pickup library
处理中
...
变更密码
登入