Open AccessNonlinear conjugate gradient methods with sufficient descent properties for unconstrained optimization
Author(s) -
Wataru Nakamura,
Y. Narushima,
Hiroshi Yabe
Publication year - 2013
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2013.9.595
Subject(s) - nonlinear conjugate gradient method , conjugate gradient method , descent (aeronautics) , gradient descent , convergence (economics) , derivation of the conjugate gradient method , conjugate residual method , mathematics , line search , gradient method , property (philosophy) , nonlinear system , balanced flow , mathematical optimization , descent direction , computer science , mathematical analysis , artificial intelligence , physics , artificial neural network , quantum mechanics , meteorology , philosophy , radius , computer security , epistemology , economics , economic growth