The Approximate Solutions of 2D- Burger’s Equations

This paper investigates the use of the fractional variational iteration method (FVIM) to obtain approximate analytical solutions to two dimensional Burger’s Equations with the Atangana-Baleanu fractional operator (ABFO). This study provides insight on the fractional variational iteration method's accuracy and reliability while approximating fractional differential equation solutions.

Authors

Institutions

Publication Details

Journal
Journal of education for pure science.
Published
2024-09-01
DOI
https://doi.org/10.32792/jeps.v14i3.454
Citations
3
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
2.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Approximate Solutions of 2D- Burger’s Equations

Haleh Tajadodi, Jafaar Jameel Nasar
3 citations
Journal of education for pure science.
Numerical methods in inverse problems
2.67
article

The Approximate Solutions of 2D- Burger’s Equations

Haleh Tajadodi, Jafaar Jameel Nasar
article en
3 citations

Abstract

This paper investigates the use of the fractional variational iteration method (FVIM) to obtain approximate analytical solutions to two dimensional Burger’s Equations with the Atangana-Baleanu fractional operator (ABFO). This study provides insight on the fractional variational iteration method's accuracy and reliability while approximating fractional differential equation solutions.

Journal of education for pure science.Vol. 14(3)
University of Sistan and Baluchestan (IR), Thi Qar University (IQ)
Openalex Percentile: Top 11%
Numerical methods in inverse problems
2.67
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.