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Splitting Algorithms, Modern Operator Theory, and Applications

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Cover of 'Splitting Algorithms, Modern Operator Theory, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Convergence Rate of Proximal Inertial Algorithms Associated with Moreau Envelopes of Convex Functions
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    Chapter 2 Constraint Splitting and Projection Methods for Optimal Control of Double Integrator
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    Chapter 3 Numerical Explorations of Feasibility Algorithms for Finding Points in the Intersection of Finite Sets
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    Chapter 4 Variable Metric ADMM for Solving Variational Inequalities with Monotone Operators over Affine Sets
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    Chapter 5 Regularization of Ill-Posed Problems with Non-negative Solutions
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    Chapter 6 Characterizations of Super-Regularity and Its Variants
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    Chapter 7 The Inverse Function Theorems of L. M. Graves
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    Chapter 8 Block-Wise Alternating Direction Method of Multipliers with Gaussian Back Substitution for Multiple-Block Convex Programming
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    Chapter 9 Variable Metric Algorithms Driven by Averaged Operators
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    Chapter 10 A Glimpse at Pointwise Asymptotic Stability for Continuous-Time and Discrete-Time Dynamics
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    Chapter 11 A Survey on Proximal Point Type Algorithms for Solving Vector Optimization Problems
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    Chapter 12 Non-polyhedral Extensions of the Frank and Wolfe Theorem
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    Chapter 13 A Note on the Equivalence of Operator Splitting Methods
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    Chapter 14 Quasidensity: A Survey and Some Examples
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    Chapter 15 On the Acceleration of Forward-Backward Splitting via an Inexact Newton Method
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    Chapter 16 Hierarchical Convex Optimization by the Hybrid Steepest Descent Method with Proximal Splitting Operators—Enhancements of SVM and Lasso
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Title
Splitting Algorithms, Modern Operator Theory, and Applications
Published by
Springer International Publishing, November 2019
DOI 10.1007/978-3-030-25939-6
ISBNs
978-3-03-025938-9, 978-3-03-025939-6
Editors

Bauschke, Heinz H., Burachik, Regina S., Luke, D. Russell

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Postgraduate 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Mathematics 2 40%
Engineering 2 40%
Unknown 1 20%