Numerical Optimization with Computational Errors

Alexander J. Zaslavski ()
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Alexander J. Zaslavski: The Technion – Israel Institute of Techn

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2016
ISBN: 978-3-319-30921-7
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Citations: View citations in EconPapers (2)

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Chapters in this book:

Ch Chapter 1 Introduction

Alexander J. Zaslavski

Ch Chapter 10 Proximal Point Methods in Metric Spaces

Alexander J. Zaslavski

Ch Chapter 11 Maximal Monotone Operators and the Proximal Point Algorithm

Alexander J. Zaslavski

Ch Chapter 12 The Extragradient Method for Solving Variational Inequalities

Alexander J. Zaslavski

Ch Chapter 13 A Common Solution of a Family of Variational Inequalities

Alexander J. Zaslavski

Ch Chapter 14 Continuous Subgradient Method

Alexander J. Zaslavski

Ch Chapter 15 Penalty Methods

Alexander J. Zaslavski

Ch Chapter 16 Newton’s Method

Alexander J. Zaslavski

Ch Chapter 2 Subgradient Projection Algorithm

Alexander J. Zaslavski

Ch Chapter 3 The Mirror Descent Algorithm

Alexander J. Zaslavski

Ch Chapter 4 Gradient Algorithm with a Smooth Objective Function

Alexander J. Zaslavski

Ch Chapter 5 An Extension of the Gradient Algorithm

Alexander J. Zaslavski

Ch Chapter 6 Weiszfeld’s Method

Alexander J. Zaslavski

Ch Chapter 7 The Extragradient Method for Convex Optimization

Alexander J. Zaslavski

Ch Chapter 8 A Projected Subgradient Method for Nonsmooth Problems

Alexander J. Zaslavski

Ch Chapter 9 Proximal Point Method in Hilbert Spaces

Alexander J. Zaslavski

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DOI: 10.1007/978-3-319-30921-7

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