Comparison of Computational Efficiency of Conjugate Gradient Methods

Based on the defects in the two existing metrics, namely, the performance profiling, and a device which adapted the descent condition to the Cauchy-Schwartz inequality, another metric, the coefficient in the sufficient descent condition, is proposed for utilization. The proposed metric can be obtained by the use of practical computations with the CG algorithms

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Publication Details

Journal
Ilorin Journal of Science
Published
2024-11-03
DOI
https://doi.org/10.54908/iljs.fapscon.2024.11.03.1028
Primary Topic
Stochastic Gradient Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

Comparison of Computational Efficiency of Conjugate Gradient Methods

Ilorin Journal of Science
Stochastic Gradient Optimization Techniques
article

Comparison of Computational Efficiency of Conjugate Gradient Methods

article en

Abstract

Based on the defects in the two existing metrics, namely, the performance profiling, and a device which adapted the descent condition to the Cauchy-Schwartz inequality, another metric, the coefficient in the sufficient descent condition, is proposed for utilization. The proposed metric can be obtained by the use of practical computations with the CG algorithms

Ilorin Journal of Science
University of Ilorin (NG)
Openalex Percentile: Top 81%
Stochastic Gradient Optimization Techniques
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Comparison of Computational Efficiency of Conjugate Gradient Methods · Ilorin Journal of Science (2024) | TGRS Research Map | TGRS