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

• UpdatedJan 13, 2024
• Python

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

• UpdatedMar 29, 2019
• Jupyter Notebook

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

• UpdatedSep 2, 2022
• R

Library to conduct experiments in population dynamics.

• UpdatedNov 16, 2024
• Python

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

• UpdatedFeb 6, 2024
• C++

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

• UpdatedApr 13, 2017
• MATLAB

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

• UpdatedJan 28, 2018
• Python

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.

• UpdatedOct 7, 2021
• Python

Introduction to Numerical Methods / Ordinary Differential Equations

• UpdatedJan 4, 2021
• Python

some simulation examples using phoenix live view

• UpdatedOct 27, 2025
• Elixir

• UpdatedNov 24, 2022
• Swift

An educational tool for understanding ecological models of population dynamics

• UpdatedNov 13, 2018
• HTML

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

• UpdatedApr 13, 2018
• C

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

• UpdatedMay 23, 2024
• Java

Various ODEs

• UpdatedOct 14, 2018
• Jupyter Notebook

study of nonlinear models describing populations.

• UpdatedMay 1, 2018
• Jupyter Notebook

Dataset for predator-prey interaction

• UpdatedJul 15, 2023
• HTML

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

• UpdatedNov 1, 2021
• Python

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).

• UpdatedJun 6, 2024
• Julia

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.

• UpdatedDec 11, 2024
• Python