Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
-
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
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
Code developed for the authors master's thesis "Novel Deep Learning Strategies for Time Series Forecasting" during the academic year 2023/2024 at the Norwegian University of Science and Technology (NTNU).
Add a description, image, and links to the lotka-volterra topic page so that developers can more easily learn about it.
To associate your repository with the lotka-volterra topic, visit your repo's landing page and select "manage topics."