New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems

Zengxin Wei; Guoyin Li; Liqun Qi

doi:10.1016/j.amc.2005.11.150

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New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems

Zengxin Wei Guoyin Li Liqun Qi

Year: 2006 Journal: Applied Mathematics and Computation Vol: 179 (2)Pages: 407-430 Publisher: Elsevier BV

DOI: 10.1016/j.amc.2005.11.150

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Keywords:

Conjugate gradient method Line search Nonlinear conjugate gradient method Convergence (economics) Mathematics Descent (aeronautics) Gradient descent Applied mathematics Line (geometry) Mathematical optimization Scale (ratio) Conjugate residual method Nonlinear system Gradient method Computer science Geometry

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Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Optimization and Variational Analysis

Physical Sciences → Computer Science → Computational Theory and Mathematics

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems

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