Geodesic
Empirical improvement of elementary gradient methods
Matematičeskoe modelirovanie, Tome 17 (2005) no. 6, pp. 43-57 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

Very simple modified algorithms of quickest descent and minimal discrepancies are offered. These methods allow essentially increasing the convergence speed. The method is universal and does not require adjustment on a spectrum of a matrix. The efficiency of offered methods is confirmed by numerous computing experiments. 
@article{MM_2005_17_6_a4,
     author = {E. A. Alshina and A. A. Boltnev and O. A. Kacher},
     title = {Empirical improvement of elementary gradient methods},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {43--57},
     year = {2005},
     volume = {17},
     number = {6},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2005_17_6_a4/}
}
TY  - JOUR
AU  - E. A. Alshina
AU  - A. A. Boltnev
AU  - O. A. Kacher
TI  - Empirical improvement of elementary gradient methods
JO  - Matematičeskoe modelirovanie
PY  - 2005
SP  - 43
EP  - 57
VL  - 17
IS  - 6
UR  - http://geodesic.mathdoc.fr/item/MM_2005_17_6_a4/
LA  - ru
ID  - MM_2005_17_6_a4
ER  - 
%0 Journal Article
%A E. A. Alshina
%A A. A. Boltnev
%A O. A. Kacher
%T Empirical improvement of elementary gradient methods
%J Matematičeskoe modelirovanie
%D 2005
%P 43-57
%V 17
%N 6
%U http://geodesic.mathdoc.fr/item/MM_2005_17_6_a4/
%G ru
%F MM_2005_17_6_a4
E. A. Alshina; A. A. Boltnev; O. A. Kacher. Empirical improvement of elementary gradient methods. Matematičeskoe modelirovanie, Tome 17 (2005) no. 6, pp. 43-57. http://geodesic.mathdoc.fr/item/MM_2005_17_6_a4/