A simple, minimal example of C++ code organisation using a logistic differential equation model, solved using numerical (Runge Kutta 4th order) integration. Allows also for parameter estimation using ...

This example illustrates the use of the MODEL procedure for nonlinear ordinary least-squares (OLS) regression. The model is a logistic growth curve for the population of the United States. The data is ...

In the present study, we aim to parameterize a flocculation model, based on a logistic growth equation, by conducting laboratory experiments. The flocculation experiments are performed using two types ...

The "Logistic Equation" seems extremely simple and completely deterministic. But for example, when R = 4, in successive iterations, all the results of this equation are different. That is, it actually ...

This paper proposes a new discretization method for logistic differential equations, for which the popular forward difference model causes chaos and overshoot unless the discrete-time period is chosen ...

What are the underlying principles of how populations change over time? Two basic principles are involved, the idea of exponential growth and its ultimate control.