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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Globally convergent RMIL-Type conjugate gradient methods with optimal parameter strategies for large-scale symmetric nonlinear equations

2026Japan Journal of Industrial and Applied MathematicsJournal

10.1007/s13160-026-00795-w Full text0 citations

Authors

3 authors across 6 institutions in 4 countries.

Lawal MuhammadFirst author
- Maitama Sule University Kano (NG)
- Bayero University Kano (NG)
Mohammad Hamarsheh
Ibrahim Mohammed SulaimanSenior authorCorresponding
as printed: Sulaiman M. Ibrahim

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Advanced Optimization Algorithms Researchlevel 3 · 0.91
Stochastic Gradient Optimization Techniqueslevel 3 · 0.05
Iterative Methods for Nonlinear Equationslevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Japan Journal of Industrial and Applied Mathematics · 0 citations
https://openalex.org/W7160709288

Globally convergent RMIL-Type conjugate gradient methods with optimal parameter strategies for large-scale symmetric nonlinear equations · Sankore