A Globally Convergent Hybrid Conjugate Gradient Method and Its Numerical Behaviors | Zendy

Yuanyuan Huang | Zendy; Sanyang Liu | Zendy; DU Xue-wu | Zendy; Xiaoliang Dong | Zendy

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A Globally Convergent Hybrid Conjugate Gradient Method and Its Numerical Behaviors

Author(s) -

Yuanyuan Huang,

Sanyang Liu,

DU Xue-wu,

Xiaoliang Dong

Publication year - 2013

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2013/147025

Subject(s) - conjugate gradient method , derivation of the conjugate gradient method , convergence (economics) , nonlinear conjugate gradient method , conjugate residual method , conjugate , gradient method , mathematics , computer science , mathematical optimization , gradient descent , mathematical analysis , artificial intelligence , artificial neural network , economics , economic growth

We consider a hybrid Dai-Yuan conjugate gradient method. We confirm that its numerical performance can be improved provided that this method uses a practical steplength rule developed by Dong, and the associated convergence is analyzed as well. © 2013 Yuan-Yuan Huang et al.

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