Some Generalizations of Logistic Model
Author(s) -
Gurgen Dallakyan
Publication year - 2017
Publication title -
biomath communications
Language(s) - English
Resource type - Journals
eISSN - 2367-5241
pISSN - 2367-5233
DOI - 10.11145/bmc.2017.05.131
Subject(s) - generalization , logistic function , representation (politics) , population , graph , mathematics , logistic regression , combinatorics , statistics , mathematical analysis , demography , sociology , politics , political science , law
During the last decades models have been created to achieve the description and the representation of phenomena and bi- ological populations. These models are often an ordinary dieren- tial equations. A new population models are proposed in this article. This models are named the Generalized Logistic Models and it is an improvement-generalization of the already known, from the bibliog- raphy, Logistic Equation (Model). The solution of the new model is presented as well as its graph drown with Mathematica 11.0 and properties for a more complete and spherical view.
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