Numerical Solution of One-Dimensional Advection-Diffusion Equation using Radial Basis Function Method of Lines

The research article proposes a numerical solution for the one-dimensional advection-diffusion equation using the Radial Basis Function (RBF) method of lines. The approach utilizes the asymmetric multiquadric collocation method for spatial discretization, resulting in a system of ordinary differential equations (ODEs) in time. The fourth-order Runge-Kutta (RK) method is then applied to solve this system. The method is illustrated by solving selected problems and comparing the results to exact solutions, highlighting its effectiveness. The algorithm is user-friendly, accurate, and suitable for one-dimensional linear diffusion problems with complex initial and boundary conditions, offering a new perspective in computational physics and numerical analysis.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-09-26
DOI
https://doi.org/10.52783/cana.v32.1729
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Solution of One-Dimensional Advection-Diffusion Equation using Radial Basis Function Method of Lines

Shrikrishna Dasari
Communications on Applied Nonlinear Analysis
Differential Equations and Numerical Methods
article

Numerical Solution of One-Dimensional Advection-Diffusion Equation using Radial Basis Function Method of Lines

Shrikrishna Dasari
article en

Abstract

The research article proposes a numerical solution for the one-dimensional advection-diffusion equation using the Radial Basis Function (RBF) method of lines. The approach utilizes the asymmetric multiquadric collocation method for spatial discretization, resulting in a system of ordinary differential equations (ODEs) in time. The fourth-order Runge-Kutta (RK) method is then applied to solve this system. The method is illustrated by solving selected problems and comparing the results to exact solutions, highlighting its effectiveness. The algorithm is user-friendly, accurate, and suitable for one-dimensional linear diffusion problems with complex initial and boundary conditions, offering a new perspective in computational physics and numerical analysis.

Communications on Applied Nonlinear AnalysisVol. 32(2)
Openalex Percentile: Top 75%
Differential Equations and Numerical Methods
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.