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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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3 X users
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1 Wikipedia page

Citations

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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

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Lecturer 1 9%
Student > Bachelor 1 9%
Student > Ph. D. Student 1 9%
Professor 1 9%
Other 2 18%
Unknown 3 27%
Readers by discipline Count As %
Mathematics 4 36%
Engineering 2 18%
Energy 1 9%
Computer Science 1 9%
Unknown 3 27%