Open Problems in Nonlinear Conjugate Gradient Algorithms for Unconstrained Optimization
Bulletin of the Malaysian Mathematical Society, Tome 34 (2011) no. 2 Cet article a éte moissonné depuis la source Bulletin of the Malaysian Mathematical Society website

Voir la notice de l'article

The paper presents some open problems associated to the nonlinear conjugate gradient algorithms for unconstrained optimization. Mainly, these problems refer to the initial direction, the conjugacy condition, the step length computation, new formula for conjugate gradient parameter computation based on function's values, the influence of accuracy of line search procedure, how we can take the problem's structure on conjugate gradient algorithms, how we can consider the second order information in these algorithms, what the most convenient restart procedure is, what the best hybrid conjugate gradient algorithm is, scaled conjugate gradient algorithms, what the most suitable stopping criterion in conjugate gradient algorithms is, etc.
Classification : 49M07, 49M10, 90C06, 65K.
@article{BMMS_2011_34_2_a10,
     author = {Neculai Andrei},
     title = {Open {Problems} in {Nonlinear} {Conjugate} {Gradient} {Algorithms} for {Unconstrained} {Optimization}},
     journal = {Bulletin of the Malaysian Mathematical Society},
     year = {2011},
     volume = {34},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/BMMS_2011_34_2_a10/}
}
TY  - JOUR
AU  - Neculai Andrei
TI  - Open Problems in Nonlinear Conjugate Gradient Algorithms for Unconstrained Optimization
JO  - Bulletin of the Malaysian Mathematical Society
PY  - 2011
VL  - 34
IS  - 2
UR  - http://geodesic.mathdoc.fr/item/BMMS_2011_34_2_a10/
ID  - BMMS_2011_34_2_a10
ER  - 
%0 Journal Article
%A Neculai Andrei
%T Open Problems in Nonlinear Conjugate Gradient Algorithms for Unconstrained Optimization
%J Bulletin of the Malaysian Mathematical Society
%D 2011
%V 34
%N 2
%U http://geodesic.mathdoc.fr/item/BMMS_2011_34_2_a10/
%F BMMS_2011_34_2_a10
Neculai Andrei. Open Problems in Nonlinear Conjugate Gradient Algorithms for Unconstrained Optimization. Bulletin of the Malaysian Mathematical Society, Tome 34 (2011) no. 2. http://geodesic.mathdoc.fr/item/BMMS_2011_34_2_a10/