Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems

Library to conduct experiments in population dynamics.

A Predator-Prey-Grass multi-agent gridworld environment implemented with Farama's Gymnasium, PettingZoo and MOMAland. Featuring dynamic spawning and deletion and partial observability of agents.

Competitive Lotka–Volterra equations, solved using Runge-Kutta methods. Four dimensional system.

Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks

1-D numerical model, that simulates the vertical coralgal growth patterns observed in a drill core

Introduction to Numerical Methods / Ordinary Differential Equations

Software to set up and solve a Lotka Volterra system for n species. The Prey-Predator case, the 2 Preys-1 Predator and many other simpler models can be easily recovered from this general framework. Allows the use from Python console.

some simulation examples using phoenix live view

A curated collection of mathematical models spanning various disciplines, offering insights and tools for analysis, simulation, and understanding complex phenomena.

Stochastic implementation of a Lotka-Volterra competition model extended to multidimensional niche spaces (published in 10.1103/PhysRevE.91.052107)

An educational tool for understanding ecological models of population dynamics

Dataset for predator-prey interaction

study of nonlinear models describing populations.

Various ODEs

Going through the tutorials for integrating PyMC with ODEs

This Socio-Ecological Model (SEM) is designed to assess the interconnected impacts of economic, social, and environmental factors within a specific system. The model uses real-time data on population, GDP, energy consumption, and climate change to predict future development trends. Simulation results enable policymakers to evaluate.