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The projected subgradient algorithm in convex optimization
This focused monograph presents a study of subgradient algorithms for constrained minimization problems in a Hilbert space. The book is of interest for experts in applications of optimization to engineering and economics. The goal is to obtain a good approximate solution of the problem in the presen...
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Main Author: | |
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Corporate Author: | |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
[2020]
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Series: | SpringerBriefs in optimization.
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Physical Description: |
1 online resource (148 pages). |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
Contents:
- 1. Introduction
- 2. Nonsmooth Convex Optimization
- 3. Extensions
- 4. Zero-sum Games with Two Players
- 5. Quasiconvex Optimization
- References.