A Spectral Conjugate Gradient Method via Hybridization Approach for System of Nonlinear Equations

This paper present an effective conjugate gradient method via hybridization approach of classical Newton direction and conjugate gradient search direction, the method scheme satisfies the sufficient decent condition. Under mild condition, the global convergence result for the method is established. Preliminary numerical results for some large-scale benchmark test problems reported in this work, demonstrate that, the method is practically effective and competitive to some existing methods.

Authors

Institutions

Publication Details

Journal
Journal of Science Research and Reviews
Published
2024-12-31
DOI
https://doi.org/10.70882/josrar.2024.v1i2.56
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Spectral Conjugate Gradient Method via Hybridization Approach for System of Nonlinear Equations

Abdullahi Adamu Kiri, Ziaullah Muhammad, Zainab Ishaq, Zaharaddini Haruna Musa
Journal of Science Research and Reviews
Numerical methods in inverse problems
article

A Spectral Conjugate Gradient Method via Hybridization Approach for System of Nonlinear Equations

Abdullahi Adamu Kiri, Ziaullah Muhammad, Zainab Ishaq, Zaharaddini Haruna Musa
article en

Abstract

This paper present an effective conjugate gradient method via hybridization approach of classical Newton direction and conjugate gradient search direction, the method scheme satisfies the sufficient decent condition. Under mild condition, the global convergence result for the method is established. Preliminary numerical results for some large-scale benchmark test problems reported in this work, demonstrate that, the method is practically effective and competitive to some existing methods.

Journal of Science Research and ReviewsVol. 1(2)
Sule Lamido University Kafin Hausa (NG), Kwara State Polytechnic (NG)
Openalex Percentile: Top 57%
Numerical methods in inverse problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.