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ZENODO
Article . 2013
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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Finite-Element Discretization and Error Bounds in Numerical Optimization for Telecom Network Reliability in Ghana

Authors: Gyamfi, Kofi; Boateng, Abena; Amofa, Ernest Kwasi;

Finite-Element Discretization and Error Bounds in Numerical Optimization for Telecom Network Reliability in Ghana

Abstract

This study addresses a current research gap in Mathematics concerning Numerical Optimization for telecom network reliability in Ghana: finite-element discretization and error bounds in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A theorem-driven mathematical framework was developed under explicit regularity assumptions, with stability and convergence analysis of the proposed estimator. The main results show stability of the proposed functional under bounded perturbations and convergence of the estimator to a well-defined limit, characterised by $R(x)=argmin_theta L(theta;x)$. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Numerical Optimization for telecom network reliability in Ghana: finite-element discretization and error bounds, Ghana, Africa, Mathematics, theoretical This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims.

Keywords

Optimization, Grid-Partitioning, Sub-Saharan, Numerical-Methods, Finite-Element, Network-Simulation, Error-Bounds

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average