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

Gaohang Yu; Lutai Guan; Zengxin Wei

doi:10.1016/j.amc.2009.09.063

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

Gaohang Yu Lutai Guan Zengxin Wei

Year: 2009 Journal: Applied Mathematics and Computation Vol: 215 (8)Pages: 3082-3090 Publisher: Elsevier BV

DOI: 10.1016/j.amc.2009.09.063

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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)

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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

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

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