Two modified conjugate gradient methods for unconstrained optimization

Mehamdia Abd Elhamid; Chaib Yacine

doi:10.1080/10556788.2024.2400710

ScienceGate Book Chapters

JOURNAL ARTICLE

Two modified conjugate gradient methods for unconstrained optimization

Mehamdia Abd Elhamid Chaib Yacine

Year: 2024 Journal: Optimization methods & software Vol: 40 (2)Pages: 308-321 Publisher: Taylor & Francis

DOI: 10.1080/10556788.2024.2400710

Get Full-Text PDF Get Analytical Report

Keywords:

Conjugate gradient method Mathematics Nonlinear conjugate gradient method Mathematical optimization Proximal Gradient Methods Gradient method Conjugate residual method Derivation of the conjugate gradient method Conjugate Applied mathematics Gradient descent Computer science Artificial intelligence Convex optimization Artificial neural network Mathematical analysis Regular polygon

Metrics

Cited By

1.31

FWCI (Field Weighted Citation Impact)

Refs

0.72

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Advanced Control Systems Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Two modified conjugate gradient methods for unconstrained optimization

Metrics

Citation History

Topics

Related Documents

Some modified conjugate gradient methods for unconstrained optimization

Two modified DY conjugate gradient methods for unconstrained optimization problems

Integration of Modified Classical Conjugate Gradient Methods for Unconstrained Optimization

Modified Conjugate Gradient Method for Unconstrained Optimization

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization