System Dynamics package for Python
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Updated
Jun 13, 2019 - Python
System Dynamics package for Python
Population Growth Models
A toy compiler that produces Kappa code from Counter Machine instructions.
Computational model of the electromotor command network of pulse-type mormyrids.
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
This program attempts to model the live spread of COVID within a population with adjustable parameters/scenarios.
Modeling Protoplanetary dust disk in the presence of a Giant Planet
[reproduced] QSP modeling platform describing Fatty Acid Amide Hydrolase inhibition in human
System Dynamics Modeling in Python. Official repo of sdCloud.io to support model executions.
Python SIR / SIR-VETOR / Endemic / Dengue algorithm
Solving odes to simulate the Dynamics of a pendulum under several conditions. The code was developed in Scilab while I was monitor of the subject "General Mechanics II" at "Universidade de São Paulo"
Awesome list of resources for simulation. 🕶️
Repository for the Dynamic Systems Modeling course at UFMG.
A NumBa based Simulation framework for interconnected dynamical systems.
Dynamical models used within astrodynamics and orbital mechanics!
Warming up with units and differential equations.
Das Verständnis von raum-zeitlichen Prozessen, die Abgrenzung und Modellierung geeigneter Systeme sowie die Simulation spezifischer Systemdynamiken sind von zunehmender Bedeutung in der Gesellschaft und Wissenschaft.
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…
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.
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