Dynamic modeling for business, economics, and ecology using the system dynamics approach
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Updated
Apr 4, 2024 - Modelica
Dynamic modeling for business, economics, and ecology using the system dynamics approach
Dynamical models used within astrodynamics and orbital mechanics!
Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems
Estimates the inference of a Fuzzy Cognitive Map (FCM). Provides a selection of 6 different inference rules and 4 threshold functions in order to obtain the inference of the FCM.
C++ 11 implementation of neural networks for nonlinear system modeling and control with multiple NARMA-L2 models
Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetric dynamical systems with decomposed Koopman operators per each irrep type.
Visit: https://aliasgharheidari.com/HGS.html. HGS optimizer is a population-based method with stochastic switching elements that enrich its main exploratory and exploitative behaviors and flexibility of HGS in dealing with challenging problem landscapes. The algorithm has been compared to LSHADE, SPS_L_SHADE_EIG, LSHADE_cnEpSi, SHADE, SADE, MPED…
A NumBa based Simulation framework for interconnected dynamical systems.
Respository created on the purpose of utilize and share the Non Linear Systems Identification (NLID) MATLAB Toolbox. Original files: http://www.bme.mcgill.ca/reklab/manual/Common/NLID/index.shtm
Awesome list of resources for simulation. 🕶️
Modeling Protoplanetary dust disk in the presence of a Giant Planet
A toy compiler that produces Kappa code from Counter Machine instructions.
System Dynamics Modeling in Python. Official repo of sdCloud.io to support model executions.
System Dynamics package for Python
Warming up with units and differential equations.
Data analysis of covid-19 and SEIRD model implementation.
Computational model of the electromotor command network of pulse-type mormyrids.
Python SIR / SIR-VETOR / Endemic / Dengue algorithm
This program attempts to model the live spread of COVID within a population with adjustable parameters/scenarios.
Population Growth Models
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