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Mathematical and Computer Modelling
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Mathematical and Computer Modelling
Article . 1989
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Mathematical and Computer Modelling
Article . 1989 . Peer-reviewed
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Mathematical Biosciences
Article . 1988 . Peer-reviewed
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Ecology models and Newton vector fields

Authors: Julian I. Palmore; Harold E. Benzinger; Scott A. Burns;

Ecology models and Newton vector fields

Abstract

The paper deals with the visual examination of the global behaviour of solutions to autonomous systems of differential equations. A simple method to do this is to integrate numerically in forward time and then to draw the phase portraits and the Poincaré sections of the corresponding flows by computer. Indeed, the error inherent numerical integration may be propagated which leads to a deviation from the true orbit long before the vicinity of an attractor is reached. The authors propose a new method which has no propagated error. In a second part they draw high resolution computer graphical color phase plane portraits for some differential equations used in mathematical ecology: the logistic equation in the complex domain, the predator-prey and the competing species equation in the real domain. (Unfortunately, the reviewer has not seen these pictures.) The algorithm for constructing integral curves developed by the author is explained in detail for an example in the complex domain.

Keywords

competing species, complex domain, flows, Ecology, Poincaré sections, Topological structure of integral curves, singular points, limit cycles of ordinary differential equations, phase portraits, Computer Science Applications, autonomous systems, Dynamical systems and ergodic theory, Modelling and Simulation, Graphical methods in numerical analysis, predator-prey, logistic equation, algorithm for constructing integral curves

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citations
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!
2
Average
Average
Average
hybrid