Rate-of-convergence bound of regularization methods for unstable minimization problems

F. P. Vasil'ev

doi:10.1007/bf01130875

Rate-of-convergence bound of regularization methods for unstable minimization problems

Computational Mathematics and Modeling ◽

10.1007/bf01130875 ◽

1993 ◽

Vol 4 (1) ◽

pp. 32-38

Author(s):

F. P. Vasil'ev

Keyword(s):

Rate Of Convergence ◽

Regularization Methods ◽

Convergence Bound ◽

Minimization Problems

Rate of convergence bound for approximating sequences in minimization problems for functionals

Journal of Soviet Mathematics ◽

10.1007/bf01095754 ◽

1992 ◽

Vol 60 (3) ◽

pp. 1529-1532

Author(s):

A. G. Nakonechnyi ◽

N. A. Rusnak

Keyword(s):

Rate Of Convergence ◽

Convergence Bound ◽

Minimization Problems

Rate of convergence bound of difference schemes for the first boundary-value problem of elasticity theory in arbitrary domains

Journal of Soviet Mathematics ◽

10.1007/bf01229596 ◽

1993 ◽

Vol 66 (3) ◽

pp. 2272-2279

Author(s):

S. A. Voitsekhovskii ◽

V. M. Kalinin ◽

V. L. Makarov

Keyword(s):

Boundary Value Problem ◽

Rate Of Convergence ◽

Elasticity Theory ◽

Boundary Value ◽

Difference Schemes ◽

Convergence Bound

A rate of convergence bound in the central limit theorem for weakly dependent homogeneous random fields

Journal of Soviet Mathematics ◽

10.1007/bf01095165 ◽

1989 ◽

Vol 44 (5) ◽

pp. 559-567 ◽

Cited By ~ 2

Author(s):

F. A. Aminev ◽

V. T. Dubrovin

Keyword(s):

Central Limit Theorem ◽

Limit Theorem ◽

Rate Of Convergence ◽

Central Limit ◽

Random Fields ◽

Convergence Bound ◽

The Central Limit Theorem ◽

Weakly Dependent

$$S_{1/2}$$ S 1 / 2 regularization methods and fixed point algorithms for affine rank minimization problems

Computational Optimization and Applications ◽

10.1007/s10589-017-9898-5 ◽

2017 ◽

Vol 67 (3) ◽

pp. 543-569 ◽

Cited By ~ 8

Author(s):

Dingtao Peng ◽

Naihua Xiu ◽

Jian Yu

Keyword(s):

Fixed Point ◽

Regularization Methods ◽

Rank Minimization ◽

Minimization Problems ◽

Fixed Point Algorithms

Rate of convergence bound of Tikhonov's regularization method for the linear programming problem

Computational Mathematics and Modeling ◽

10.1007/bf01126580 ◽

1990 ◽

Vol 1 (3) ◽

pp. 283-287

Author(s):

F. P. Vasil'ev ◽

M. M. Potapov ◽

Yu. N. Chekanov

Keyword(s):

Linear Programming ◽

Rate Of Convergence ◽

Programming Problem ◽

Linear Programming Problem ◽

Regularization Method ◽

Convergence Bound ◽

Tikhonov’S Regularization

Rate of convergence bound of difference schemes for quasilinear elliptical equations with solutions inW 2 1

Journal of Mathematical Sciences ◽

10.1007/bf01259476 ◽

1994 ◽

Vol 72 (3) ◽

pp. 3086-3090

Author(s):

T. G. Voitsekhovskaya

Keyword(s):

Rate Of Convergence ◽

Difference Schemes ◽

Convergence Bound

A rate of convergence bound of regular-grid difference schemes for elliptical equations with discontinuous coefficients

Journal of Soviet Mathematics ◽

10.1007/bf01099392 ◽

1992 ◽

Vol 58 (1) ◽

pp. 17-21

Author(s):

S. A. Voitsekhovskii ◽

V. L. Makarov

Keyword(s):

Rate Of Convergence ◽

Discontinuous Coefficients ◽

Difference Schemes ◽

Regular Grid ◽

Convergence Bound

Rate of convergence bound for a regularization method in linear programming

Computational Mathematics and Modeling ◽

10.1007/bf01127793 ◽

1992 ◽

Vol 3 (1) ◽

pp. 56-59

Author(s):

V. V. Morozov ◽

M. Yachimovich

Keyword(s):

Linear Programming ◽

Rate Of Convergence ◽

Regularization Method ◽

Convergence Bound

Rate of convergence bound in the W 2 1 norm of the projection-difference scheme for the first boundary-value problem of elasticity theory in the anisotropic case

Journal of Mathematical Sciences ◽

10.1007/bf01250581 ◽

1994 ◽

Vol 69 (6) ◽

pp. 1389-1394

Author(s):

S. A. Voitsekhovskii ◽

V. M. Kalinin

Keyword(s):

Boundary Value Problem ◽

Difference Scheme ◽

Rate Of Convergence ◽

Elasticity Theory ◽

Boundary Value ◽

Convergence Bound ◽

Anisotropic Case

CONVERGENCE PROPERTY AND MODIFICATIONS OF A MEMORY GRADIENT METHOD

Asia Pacific Journal of Operational Research ◽

10.1142/s0217595905000625 ◽

2005 ◽

Vol 22 (04) ◽

pp. 463-477 ◽

Cited By ~ 1

Author(s):

ZHEN-JUN SHI ◽

JIE SHEN

Keyword(s):

Global Convergence ◽

Rate Of Convergence ◽

Gradient Method ◽

Large Scale ◽

Convergence Property ◽

Gradient Methods ◽

Numerical Results ◽

Minimization Problems ◽

Memory Gradient Method

We study properties of a modified memory gradient method, including the global convergence and rate of convergence. Numerical results show that modified memory gradient methods are effective in solving large-scale minimization problems.