Population Growth Models
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Updated
Nov 8, 2018 - Jupyter Notebook
Population Growth Models
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.
[reproduced] QSP modeling platform describing Fatty Acid Amide Hydrolase inhibition in human
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"
Repository for the Dynamic Systems Modeling course at UFMG.
This program attempts to model the live spread of COVID within a population with adjustable parameters/scenarios.
Python SIR / SIR-VETOR / Endemic / Dengue algorithm
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.
Awesome list of resources for simulation. 🕶️
A toy compiler that produces Kappa code from Counter Machine instructions.
Modeling Protoplanetary dust disk in the presence of a Giant Planet
System Dynamics Modeling in Python. Official repo of sdCloud.io to support model executions.
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
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.
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.
C++ 11 implementation of neural networks for nonlinear system modeling and control with multiple NARMA-L2 models
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