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

F. P. Vasil'yev; A. Nedic; M. Yachimovich

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

F. P. Vasil'yev, A. Nedic, M. Yachimovich

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

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 language	English (US)
Pages (from-to)	559-567
Number of pages	9
Journal	Computational Mathematics and Mathematical Physics
Volume	36
Issue number	5
State	Published - 1996
Externally published	Yes

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Computational Mathematics

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title = "A two-step regularized method of linearization for solving minimization problems",

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.",

author = "Vasil'yev, {F. P.} and A. Nedic and M. Yachimovich",

year = "1996",

language = "English (US)",

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journal = "Computational Mathematics and Mathematical Physics",

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T1 - A two-step regularized method of linearization for solving minimization problems

AU - Vasil'yev, F. P.

AU - Nedic, A.

AU - Yachimovich, M.

PY - 1996

Y1 - 1996

N2 - 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.

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AN - SCOPUS:33746995152

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JO - Computational Mathematics and Mathematical Physics

JF - Computational Mathematics and Mathematical Physics

IS - 5

ER -

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

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