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

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

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

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

1994 ◽  
Vol 72 (3) ◽  
pp. 3086-3090
Author(s):  
T. G. Voitsekhovskaya
Keyword(s):  
Rate Of Convergence ◽  
Difference Schemes ◽  
Convergence Bound

Rate of convergence bound for a regularization method in linear programming

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

CONVERGENCE PROPERTY AND MODIFICATIONS OF A MEMORY GRADIENT METHOD

2005 ◽  
Vol 22 (04) ◽  
pp. 463-477 ◽  
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.

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