Modified globally convergent Polak-Ribière-Polyak conjugate gradient methods with self-correcting property for large-scale unconstrained optimization

Xiaoliang Dong

doi:10.1007/s11075-022-01440-6

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Modified globally convergent Polak-Ribière-Polyak conjugate gradient methods with self-correcting property for large-scale unconstrained optimization

Xiaoliang Dong

Year: 2023 Journal: Numerical Algorithms Vol: 93 (2)Pages: 765-783 Publisher: Springer Science+Business Media

DOI: 10.1007/s11075-022-01440-6

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Keywords:

Conjugate gradient method Mathematics Conjugate residual method Nonlinear conjugate gradient method Gradient descent Convergence (economics) Derivation of the conjugate gradient method Theory of computation Gradient method Conjugate Applied mathematics Scale (ratio) Initial value problem Property (philosophy) Mathematical optimization Mathematical analysis Algorithm Computer science Artificial intelligence Artificial neural network

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Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Optimization and Variational Analysis

Physical Sciences → Computer Science → Computational Theory and Mathematics

Modified globally convergent Polak-Ribière-Polyak conjugate gradient methods with self-correcting property for large-scale unconstrained optimization

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