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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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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

Functional analysis and applied optimization in Banach spaces : applications to non-convex variational models by Botelho, Fábio

Published: Springer, 2014

Description: 1 online resource (xviii, 560 pages) : illustrations (some color)

SpringerLink - Click here for access

eBook

The projected subgradient algorithm in convex optimization

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