Evidence map›Paper›PMID 40594455›Full record

ArticleScientific reports2025

Collocation method for solving fractional reaction-diffusion problem arising in chemistry.

Jalil Rashidinia, Arefeh Momeni

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jalil RashidiniaSchool of Mathematics and Computer Science, Iran University of Science and Technology, Tehran, 16846-13114, Iran. rashidinia@iust.ac.ir.
Arefeh MomeniSchool of Mathematics and Computer Science, Iran University of Science and Technology, Tehran, 16846-13114, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a numerical approach was developed to approximate the solution of the Caputo-type fractional reaction-diffusion problem. In the proposed method, the Caputo fractional derivative and the integer derivatives of the equation are obtained using the operational matrices of the collocation method with orthogonalized Bernoulli polynomial bases. This method reduces the main problem to a system of algebraic equations. On the other hand, by solving this system, an approximation for the desired equation is obtained. The main feature of the presented method is the sparse of the operational matrices, which reduces the computational cost. The convergence analysis and error bounds to establish the validity of the developed method are discussed. This method is tested by six numerical problems to demonstrate the capability of the suggested new technique. Also, the obtained results are compared with the existing methods in the literature. The results indicate that the proposed method is an efficient and reliable approach for solving the problem.

Indexed as

Convergence analysisOrthogonalized Bernoulli polynomialsSpectral collocation methodTime fractional reaction–diffusion problem

Identifiers

PMID40594455
PMCPMC12216058

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