A regularized continuous linearization method for minimization problems with inaccurate initial data

F. P. Vasil'Yev; A. Nedich; M. Yachimovich

A regularized continuous linearization method for minimization problems with inaccurate initial data

F. P. Vasil'Yev, A. Nedich, M. Yachimovich

Research output: Contribution to journal › Article › peer-review

Abstract

For problems of minimization with inaccurate initial data, a regularization method based on a continuous linearization method is proposed, sufficient conditions for convergence are given and a regularizing operator is constructed.

Original language	English (US)
Pages (from-to)	309-316
Number of pages	8
Journal	Computational Mathematics and Mathematical Physics
Volume	36
Issue number	3
State	Published - 1996
Externally published	Yes

ASJC Scopus subject areas

Computational Mathematics

Cite this

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title = "A regularized continuous linearization method for minimization problems with inaccurate initial data",

abstract = "For problems of minimization with inaccurate initial data, a regularization method based on a continuous linearization method is proposed, sufficient conditions for convergence are given and a regularizing operator is constructed.",

author = "Vasil'Yev, {F. P.} and A. Nedich and M. Yachimovich",

year = "1996",

language = "English (US)",

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journal = "Computational Mathematics and Mathematical Physics",

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AU - Vasil'Yev, F. P.

AU - Nedich, A.

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A regularized continuous linearization method for minimization problems with inaccurate initial data

Abstract

ASJC Scopus subject areas

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