Nonlinear conjugate gradient methods with sufficient descent properties for unconstrained optimization | Zendy

Wataru Nakamura | Zendy; Yasushi Narushima | Zendy; Hiroshi Yabe | Zendy

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Nonlinear conjugate gradient methods with sufficient descent properties for unconstrained optimization

Author(s) -

Wataru Nakamura,

Yasushi 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

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