lotka-volterra
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Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
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Jan 13, 2024 - Python
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
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Mar 29, 2019 - Jupyter Notebook
A Predator-Prey-Grass multi-agent gridworld environment. Featuring dynamic spawning and deletion and partial observability of agents.
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Mar 24, 2025 - Python
Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems
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Sep 2, 2022 - R
Library to conduct experiments in population dynamics.
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Nov 16, 2024 - Python
Competitive Lotka–Volterra equations, solved using Runge-Kutta methods. Four dimensional system.
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Feb 6, 2024 - C++
Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks
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Apr 13, 2017 - MATLAB
1-D numerical model, that simulates the vertical coralgal growth patterns observed in a drill core
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Jan 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.
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Oct 7, 2021 - Python
Introduction to Numerical Methods / Ordinary Differential Equations
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Jan 4, 2021 - Python
some simulation examples using phoenix live view
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Oct 14, 2024 - Elixir
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Nov 24, 2022 - Swift
An educational tool for understanding ecological models of population dynamics
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Nov 13, 2018 - HTML
A curated collection of mathematical models spanning various disciplines, offering insights and tools for analysis, simulation, and understanding complex phenomena.
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May 23, 2024 - Java
Stochastic implementation of a Lotka-Volterra competition model extended to multidimensional niche spaces (published in 10.1103/PhysRevE.91.052107)
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Apr 13, 2018 - C
Various ODEs
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Oct 14, 2018 - Jupyter Notebook
Dataset for predator-prey interaction
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Jul 15, 2023 - HTML
study of nonlinear models describing populations.
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May 1, 2018 - Jupyter Notebook
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.
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Dec 11, 2024 - Python
Going through the tutorials for integrating PyMC with ODEs
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Feb 19, 2024 - Jupyter Notebook
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