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Mathematical Biosciences and Engineering
Article . 2009 . Peer-reviewed
Data sources: Crossref
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Mathematical Biosciences and Engineering
Article
License: CC BY
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Computation of traveling wave fronts for a nonlinear diffusion-advection model

Authors: M. B. A. Mansour;

Computation of traveling wave fronts for a nonlinear diffusion-advection model

Abstract

This paper utilizes a nonlinear reaction-diffusion-advection model for describing the spatiotemporal evolution of bacterial growth. The traveling wave solutions of the corresponding system of partial differential equations are analyzed. Using two methods, we then find such solutions numerically. One of the methods involves the traveling wave equations and solving an initial-value problem, which leads to accurate computations of the wave profiles and speeds. The second method is to construct time-dependent solutions by solving an initial-moving boundary-value problem for the PDE system, showing another approximation for such wave solutions.

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Keywords

Microfluidics, Bacillus, Cell Enlargement, Models, Biological, Diffusion, Nonlinear Dynamics, QA1-939, Computer Simulation, reaction-diffusion-advection equations; bacterial growth;traveling wave fronts; numerical approximations, TP248.13-248.65, Mathematics, Biotechnology, Cell Proliferation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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