
Solving Unconstrained Optimization Problems with Some Three-term Conjugate Gradient Methods
Author(s) -
Ladan Arman
Publication year - 2022
Publication title -
tamkang journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 18
eISSN - 0049-2930
pISSN - 2073-9826
DOI - 10.5556/j.tkjm.54.2023.4185
Subject(s) - conjugate gradient method , gradient descent , conjugate , nonlinear conjugate gradient method , mathematics , term (time) , derivation of the conjugate gradient method , line search , conjugate residual method , convergence (economics) , descent (aeronautics) , gradient method , mathematical optimization , line (geometry) , proximal gradient methods , algorithm , computer science , artificial intelligence , artificial neural network , mathematical analysis , physics , geometry , computer security , quantum mechanics , aerospace engineering , economics , engineering , radius , economic growth