Two self-scaling Polak–Ribière–Polyak conjugate gradient methods for unconstrained optimization

Lawal Muhammad; Mohammad Y. Waziri; Ibrahim Mohammed Sulaiman; Aceng Sambas

doi:10.1080/0305215x.2024.2420743

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Two self-scaling Polak–Ribière–Polyak conjugate gradient methods for unconstrained optimization

Lawal Muhammad Mohammad Y. Waziri Ibrahim Mohammed Sulaiman Aceng Sambas

Year: 2024 Journal: Engineering Optimization Vol: 57 (10)Pages: 2869-2890 Publisher: Taylor & Francis

DOI: 10.1080/0305215x.2024.2420743

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Keywords:

Conjugate gradient method Scaling Mathematics Nonlinear conjugate gradient method Conjugate residual method Mathematical optimization Conjugate Derivation of the conjugate gradient method Computer science Gradient descent Artificial intelligence Mathematical analysis

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Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

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Iterative Methods for Nonlinear Equations

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Two self-scaling Polak–Ribière–Polyak conjugate gradient methods for unconstrained optimization

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