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zbMATH Open
Article . 2017
Data sources: zbMATH Open
SIAM Journal on Applied Mathematics
Article . 2017 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Fractional Order Compartment Models

Fractional order compartment models
Authors: Christopher N. Angstmann; Austen M. Erickson; Bruce Ian Henry; Anna V. McGann; John M. Murray; James A. Nichols;

Fractional Order Compartment Models

Abstract

This paper is an interesting application of fractional order systems. Compartment models are well known and well studied in the literature. To describe the time evolution of a system undergoing reactions between populations in different compartments, often compartment models are used. These are set of differential equations coupled together. After the introduction of the fractional order derivative, fractional order models are becoming center of attraction for many researchers. But most of the fractional models are obtained just by replacing the integer order derivatives by fractional order. The main motivation is the nonlocal behavior of the fractional order derivative. In this work, the authors derive fractional order compartment models from an underlying physical stochastic process. This gives physical interpretation of the underlying fractional order model. At the end some examples are also provided by the authors to illustrate the theoretical findings.

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Australia
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Keywords

anzsrc-for: 4901 Applied mathematics, Epidemiology, compartment models, anzsrc-for: 4903 Numerical and Computational Mathematics, Fractional processes, including fractional Brownian motion, Fractional ordinary differential equations, fractional calculus, 510, anzsrc-for: 49 Mathematical Sciences, 4903 Numerical and Computational Mathematics, Qualitative investigation and simulation of ordinary differential equation models, 49 Mathematical Sciences, epidemiology, Other physical applications of random processes, pharmacokinetics, stochastic models, Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.), anzsrc-for: 0102 Applied Mathematics

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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!
38
Top 10%
Top 10%
Top 10%
Green