A two-step regularized method of linearization for solving minimization problems

F. P. Vasil'yev, Angelia Nedich, M. Yachimovich

Research output: Contribution to journalArticle

Abstract

A regularization method for minimization problems with inaccurate initial data is proposed, based on two-step linearization in conjunction with the gradient projection method. Sufficient conditions for the convergence of the method are given and a regularizing operator is constructed.

Original languageEnglish (US)
Pages (from-to)559-567
Number of pages9
JournalComputational Mathematics and Mathematical Physics
Volume36
Issue number5
StatePublished - 1996
Externally publishedYes

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Gradient Projection Method
Two-step Method
Regularization Method
Inaccurate
Linearization
Minimization Problem
Sufficient Conditions
Operator

ASJC Scopus subject areas

  • Computational Mathematics

Cite this

A two-step regularized method of linearization for solving minimization problems. / Vasil'yev, F. P.; Nedich, Angelia; Yachimovich, M.

In: Computational Mathematics and Mathematical Physics, Vol. 36, No. 5, 1996, p. 559-567.

Research output: Contribution to journalArticle

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