A regularized continuous method of gradient projection for minimization problems with inaccurate initial data

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5 Citations (Scopus)

Abstract

A continuous method of regularization is proposed for minimization problems with inaccurately given target function and set. The method is based on the gradient projection method. The sufficient conditions of the method's convergence are given, the regularizing operator is synthesized, the method's convergence rates are estimated.

Original languageEnglish (US)
Pages (from-to)3-10
Number of pages8
JournalVestnik Moskovskogo Universiteta. Ser. 15 Vychislitel'naya Matematika i Kibernetika
Issue number1
StatePublished - Mar 1994
Externally publishedYes

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Gradient Projection
Inaccurate
Minimization Problem
Gradient Projection Method
Convergence Rate
Regularization
Target
Sufficient Conditions
Operator

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Applied Mathematics

Cite this

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title = "A regularized continuous method of gradient projection for minimization problems with inaccurate initial data",
abstract = "A continuous method of regularization is proposed for minimization problems with inaccurately given target function and set. The method is based on the gradient projection method. The sufficient conditions of the method's convergence are given, the regularizing operator is synthesized, the method's convergence rates are estimated.",
author = "Angelia Nedich",
year = "1994",
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