Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

Library to conduct experiments in population dynamics.

A solution to the Lotka-Volterra Equations is approximated using Dormand-Prince-45 method with adaptive step size control.

Going through the tutorials for integrating PyMC with ODEs

Franklin-powered website.

Iterations of dynamic movement primitive (DMP) & SHC-based movement primitive (SMP) comparison scripts. SMP framework based on Lotka-Volterra equations.

Euler's and Runge-Kutta methods comparison on solving initial value problem on Lotka-Volterra equations and other functions

An interactive article about Lotka–Volterra differential equations.

A simulation of the Lotka-Volterra equations on C++ and OpenGL

This repository contains the code for the blog post on The Lotka-Volterra equations: Modeling predator-prey dynamics. For further details, please refer to this post.

This repository contains code to both model the lotka volterra equations and to find the parameters necessary to fit these equations to existing data sets. The lotka volterra equations can be used to model the interactions between two species, one predator, one prey, with respect to time and several variables.