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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Bibliographic Details
Main Author: Zaslavski, Alexander J. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer, [2020]
Series:SpringerBriefs in optimization.
Physical Description:
1 online resource (148 pages).
Subjects:
Mathematical optimization.
Subgradient methods.
Hilbert space.
Numerical analysis.
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.

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