Convex Optimization with Computational Errors - Springer Optimization and Its Applications
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(FIVE YEARS 12)

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Published By Springer International Publishing

9783030378219, 9783030378226

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A Projected Subgradient Method for Nonsmooth Problems

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_12 ◽

2020 ◽

pp. 321-354

Author(s):

Alexander J. Zaslavski

Keyword(s):

Subgradient Method ◽

Nonsmooth Problems

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Introduction

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_1 ◽

2020 ◽

pp. 1-24

Author(s):

Alexander J. Zaslavski

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A Zero-Sum Game with Two Players

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_8 ◽

2020 ◽

pp. 259-275

Author(s):

Alexander J. Zaslavski

Keyword(s):

Zero Sum

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The Mirror Descent Algorithm

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_3 ◽

2020 ◽

pp. 83-125

Author(s):

Alexander J. Zaslavski

Keyword(s):

Descent Algorithm ◽

Mirror Descent

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Subgradient Projection Algorithm

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_2 ◽

2020 ◽

pp. 25-81

Author(s):

Alexander J. Zaslavski

Keyword(s):

Projection Algorithm ◽

Subgradient Projection ◽

Subgradient Projection Algorithm

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Gradient Algorithm with a Smooth Objective Function

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_4 ◽

2020 ◽

pp. 127-150

Author(s):

Alexander J. Zaslavski

Keyword(s):

Objective Function ◽

Gradient Algorithm

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Continuous Subgradient Method

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_6 ◽

2020 ◽

pp. 173-241

Author(s):

Alexander J. Zaslavski

Keyword(s):

Subgradient Method

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PDA-Based Method for Convex Optimization

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_9 ◽

2020 ◽

pp. 277-286

Author(s):

Alexander J. Zaslavski

Keyword(s):

Convex Optimization

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An Optimization Problems with a Composite Objective Function

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_7 ◽

2020 ◽

pp. 243-258

Author(s):

Alexander J. Zaslavski

Keyword(s):

Objective Function ◽

Optimization Problems

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An Extension of the Gradient Algorithm

Convex Optimization with Computational Errors - Springer Optimization and Its Applications ◽

10.1007/978-3-030-37822-6_5 ◽

2020 ◽

pp. 151-171

Author(s):

Alexander J. Zaslavski

Keyword(s):

Gradient Algorithm

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Convex Optimization with Computational Errors - Springer Optimization and Its ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Projected Subgradient Method for Nonsmooth Problems

Introduction

A Zero-Sum Game with Two Players

The Mirror Descent Algorithm

Subgradient Projection Algorithm

Gradient Algorithm with a Smooth Objective Function

Continuous Subgradient Method

PDA-Based Method for Convex Optimization

An Optimization Problems with a Composite Objective Function

An Extension of the Gradient Algorithm

Convex Optimization with Computational Errors - Springer Optimization and Its Applications
Latest Publications