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Journal ArticleDOI

Logistric growth rate functions.

A.A. Blumberg
- 01 Oct 1968 - 
- Vol. 21, Iss: 1, pp 42-44
TLDR
Assuming an S-shaped population or organism size versus time curve and a growth rate law, the rate equation can be converted to an integral function from which the best pair to describe the growth rate can be obtained graphically.
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This article is published in Journal of Theoretical Biology.The article was published on 1968-10-01. It has received 84 citations till now. The article focuses on the topics: Population & Function (mathematics).

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Journal ArticleDOI

Analysis of logistic growth models

TL;DR: A generalized form of the logistic growth curve is introduced which incorporates additional growth models which are markedly different from the Logistic growth and its variants, at least in their mathematical representation.
BookDOI

Modeling Biological Systems

TL;DR: This course will learn about a variety of biological fields where mathematical models and analysis have provided key insights in fields such as linear algebra, dynamical systems, probability, scientific computing, and many more.
Proceedings ArticleDOI

Production Forecasting with Logistic Growth Models

TL;DR: In this article, the authors proposed a new empirical model for production forecasting in extremely low permeability oil and gas reservoirs based on logistic growth models, which is easy to use and is very capable of trending existing production data and providing reasonable forecasts of future production.
Journal ArticleDOI

Population Dynamics: a per capita Resource Approach

TL;DR: In this article, a theory of population growth and interaction is developed under the assumption that the per capita population growth rate is dependent on the per-capacity availability of resources, and a general n-species multitrophic level interaction model is proposed.

Development and application of capacitance-resistive models to water/CO₂ floods

TL;DR: In this article, the authors developed analytical solutions for the continuity equation using superposition in time and space for three different reservoir control volumes: 1) entire field volume, 2) volume drained by each producer, and 3) drainage volume between an injector/producer pair.
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