Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
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Updated
Jan 13, 2024 - Python
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
A Predator-Prey-Grass multi-objective multi-agent gridworld environment implemented with Farama's Gymnasium, PettingZoo and MOMAland, featuring dynamic agent spawning and deletion, where agents have partial observability.
Competitive Lotka–Volterra equations, solved using Runge-Kutta methods. Four dimensional system.
Library to conduct experiments in population dynamics.
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
Various ODEs
study of nonlinear models describing populations.
Going through the tutorials for integrating PyMC with ODEs
A solution to the Lotka-Volterra Equations is approximated using Dormand-Prince-45 method with adaptive step size control.
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