z-logo
open-access-imgOpen Access
A modified Hestenes-Stiefel method for solving unconstrained optimization problems
Publication year - 2020
Publication title -
journal of mathematical and computational science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.12
H-Index - 2
ISSN - 1927-5307
DOI - 10.28919/jmcs/4844
Subject(s) - conjugate gradient method , benchmark (surveying) , mathematics , convergence (economics) , conjugate residual method , mathematical optimization , derivation of the conjugate gradient method , minification , nonlinear conjugate gradient method , simplicity , gradient method , algorithm , computer science , gradient descent , artificial intelligence , epistemology , artificial neural network , philosophy , geodesy , geography , economics , economic growth

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here