JOURNAL ARTICLE

Globally convergent Polak–Ribière–Polyak conjugate gradient methods under a modified Wolfe line search

Gaohang YuLutai GuanZengxin Wei

Year: 2009 Journal:   Applied Mathematics and Computation Vol: 215 (8)Pages: 3082-3090   Publisher: Elsevier BV
Keywords:
Line search Conjugate gradient method Convergence (economics) Mathematics Gradient descent Descent (aeronautics) Nonlinear conjugate gradient method Line (geometry) Mathematical optimization Gradient method Set (abstract data type) Conjugate Conjugate residual method Applied mathematics Computer science Mathematical analysis Geometry Artificial intelligence Path (computing)

Metrics

23
Cited By
3.69
FWCI (Field Weighted Citation Impact)
28
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Iterative Methods for Nonlinear Equations
Physical Sciences →  Mathematics →  Numerical Analysis
Fractional Differential Equations Solutions
Physical Sciences →  Mathematics →  Modeling and Simulation

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