Splitting algorithms, modern operator theory, and applications /

Splitting algorithms, modern operator theory, and applications /

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Bibliographic Details
Imprint:Cham : Springer, 2019.
Description:1 online resource (xix, 489 pages . 35 illustrations, 25 illustrations in color.)
Language:English
Subject:
Operator theory.
Monotone operators.
Algorithms.
Algorithms.
Monotone operators.
Operator theory.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11997555
Hidden Bibliographic Details
Other authors / contributors:Bauschke, Heinz H., editor.
Burachik, Regina S., editor.
Luke, D. Russell., editor.
ISBN:9783030259396
3030259390
9783030259389
3030259382
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed November 11, 2019).
Summary:This book brings together research articles and state-of-the-art surveys in broad areas of optimization and numerical analysis with particular emphasis on algorithms. The discussion also focuses on advances in monotone operator theory and other topics from variational analysis and nonsmooth optimization, especially as they pertain to algorithms and concrete, implementable methods. The theory of monotone operators is a central framework for understanding and analyzing splitting algorithms. Topics discussed in the volume were presented at the interdisciplinary workshop titled Splitting Algorithms, Modern Operator Theory, and Applications held in Oaxaca, Mexico in September, 2017. Dedicated to Jonathan M. Borwein, one of the most versatile mathematicians in contemporary history, this compilation brings theory together with applications in novel and insightful ways.
Other form:Print version: Splitting algorithms, modern operator theory, and applications. Cham : Springer, 2019 3030259382 9783030259389
Standard no.:10.1007/978-3-030-25939-6
10.1007/978-3-030-25
Table of Contents:
  • 1. Convergence Rate of Proximal Inertial Algorithms Associated with Moreau Envelopes of Convex Functions (H. Attouch, J. Peypouquet)
  • 2. Constraint Splitting and Projection Methods for Optimal Control of Double Integrator (H.H. Bauschke, R.S. Burachik, C.Y. Kaya)
  • 3. Numerical Explorations of Feasibility Algorithms for Finding Points in the Intersection of Finite Sets (H., H. Bauschke, S. Gretchko, W.M. Moursi)
  • 4. Variable Metric ADMM for Solving Variational Inequalities with Monotone Operators Over Affine Sets (R.I. Bot, E.R. Csetnek, D. Meier)
  • 5. Regularization of Ill-posed Problems with Non-Negative Solutions (C. Clason, B. Kaltenbacher, E. Resmerita)
  • 6. Characterizations of Super-regularity and its Variants (A. Danillidis, D.R. Luke, M. Tam)
  • 7. The Inverse Function Theorems of L.M. Graves (A.L. Dontchev)
  • 8. Block-wise Alternating Direction Method of Multipliers with Gaussian Back Substitution for Multiple-block Convex Programming (X. Fu, B. He, X. Wang, X. Yuan)
  • 9. Variable Metric Algorithms Driven by Averaged Operations (L.E. Glaudin)
  • 10. A Glimpse at Pointwise Asymptotic Stability for Continuous-time and Discrete-time Dynamics (R. Goebel)
  • 11. A Survey on Proximal Point Type Algorithms for Solving Vector Optimization Problems (S-M Grad)
  • 12. Non-polyhedral Extensions of the Frank and Wolfe Theorem (J.E. Mart?nez-Legaz, D. Noll, W. Sosa)
  • 13. A Note on the Equivalence of Operator Splitting Methods (W.M. Moursi, Y. Zinchenko)
  • 14. Quasidensity: A Survey and Some Examples (S. Simons)
  • 15. On the Acceleration of Forward-Backward Splitting via an Inexact Newton Method (A. Themelis, M. Ahookosh, P. Patrinos)
  • 16. Hierarchical Convex Optimization by the Hybrid Steepest Descent Method with Proximal Splitting Operators
  • Enhancements of SVM and Lasso (I. Yamada, M. Yamagishi)
  • Appendix
  • References.

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