Optimization on Solution Sets of Common Fixed Point Problems
This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the solution sets of common fixed point problems and convex feasibility problems. These optimization problems are investigated to determine good solutions obtained by...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Series: | Springer Optimization and Its Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preface
- Introduction
- Fixed Point Subgradient Algorithm
- Proximal Point Subgradient Algorithm
- Cimmino Subgradient Projection Algorithm
- Iterative Subgradient Projection Algorithm
- Dynamic Strong-Averaging Subgradient Algorithm
- Fixed Point Gradient Projection Algorithm
- Cimmino Gradient Projection Algorithm
- A Class of Nonsmooth Convex Optimization Problems
- Zero-Sum Games with Two Players
- References
- Index