Skip to main content
Journal ArticleOPEN ACCESS

Approximate solutions for local fractional linear transport equations arising in fractal porous media

Advances in Mathematical Physics (2014) 2014
DOI: 10.1155/2014/487840
7Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We investigate the local fractional linear transport equations arising in fractal porous media by using the local fractional variational iteration method. Their approximate solutions within the nondifferentiable functions are obtained and their graphs are also shown. © 2014 Meng Li et al.

References Powered by Scopus

The restaurant at the end of the random walk: Recent developments in the description of anomalous transport by fractional dynamics

Journal of Physics A: Mathematical and General
2059Citations
N/AReaders
Get full text

Chaos, fractional kinetics, and anomalous transport

Physics Report
1386Citations
N/AReaders
Get full text

Transport equations in turbulence

Physics of Fluids
1175Citations
N/AReaders
Get full text
View more at Scopus

Cited by Powered by Scopus

An efficient computational method for local fractional transport equation occurring in fractal porous media

Computational and Applied Mathematics
64Citations
N/AReaders
Get full text

Analysis of the Fractional-Order Local Poisson Equation in Fractal Porous Media

Symmetry
32Citations
N/AReaders
Get full text

A comprehensive survey on fractional fourier transform

Fundamenta Informaticae
21Citations
N/AReaders
Get full text
View more at Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Li, M., Hui, X. F., Cattani, C., Yang, X. J., & Zhao, Y. (2014). Approximate solutions for local fractional linear transport equations arising in fractal porous media. Advances in Mathematical Physics, 2014. https://doi.org/10.1155/2014/487840

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

67%

Researcher 1

33%

Readers' Discipline

Tooltip

Mathematics 1

50%

Engineering 1

50%

Save time finding and organizing research with Mendeley

Sign up for free