Evidence map›Paper›PMID 39715758›Full record

ArticleScientific reports2024

Residual power series scheme treatments for fractional Klein-Gordon problem arising in soliton theory.

Saad Z Rida, Anas A M Arafa, Hussein S Hussein, Ismail Gad Ameen, Marwa M M Mostafa

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Saad Z RidaDepartment of Mathematics, Faculty of Science, South Valley University, Qena, 83523, Egypt.
Anas A M ArafaDepartment of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia.
Hussein S HusseinDepartment of Mathematics, Faculty of Science, South Valley University, Qena, 83523, Egypt.
Ismail Gad AmeenDepartment of Mathematics, Faculty of Science, South Valley University, Qena, 83523, Egypt.
Marwa M M MostafaDepartment of Mathematics, Faculty of Science, South Valley University, Qena, 83523, Egypt. marwa.masoud@sci.svu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Klein-Gordon problem (KGP) is one of the interesting models that appear in many scientific phenomena. These models are characterized by memory effects, which provide insight into complex phenomena in the fields of physics. In this regard, we propose a new robust algorithm called the confluent Bernoulli approach with residual power series scheme (CBCA-RPSS) to give an approximate solution for the fractional nonlinear KGP. The convergence, uniqueness and error analysis of the proposed method are discussed in detail. A comparison of the numerical results obtained by CBCA-RPSS with the results obtained by some well-known algorithms is presented. Numerical simulations using base errors indicate that CBCA-RPSS is an accurate and efficient technique and thus can be used to solve linear and nonlinear fractional models in physics and engineering. All the numerical results for the studied problems were obtained through implementation codes in Matlab R2017b.

Indexed as

Confluent Bernoulli polynomialsFractional derivativesKlien-Gordon equationsNumerical resultsResidual power series scheme

Identifiers

PMID39715758
PMCPMC11666727

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