Fitting a known probability distribution to a particular dataset based on Pearson’s Distributions.
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Updated
Apr 26, 2019 - Python
Fitting a known probability distribution to a particular dataset based on Pearson’s Distributions.
A visual tool (HTML / Javascript) to interact with compartmental models like SIR and SEIR
in this repository, we learn how to find equilibrium points of a system of non-linear ODE and calculate the solution using Runge-Kutta Fourth Order (RK4). The equations used here can be found in the article link attached.
Verilog implementation of an ordinary differential equation (ODE) solver accelerator chip ― **INCOMPLETE IMPLEMENTATION**
Este repositório é dedicado ao meu e-book sobre modelos matemáticos e computacional em medicina e biologia
Sources of my term paper for differential equations calss, developed during my study at Shirak State University
This repository contains supporting code for the paper "Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo" by Mingo et al.
Materials and poster for the 2017 Biology and Mathematics in the Bay Area Conference
Simulate systems of differential equations as stochastic processes
small NodeJs console utility program for calculating launch vehicle capabilities
Optimal Dynamics Prediction for Robot Manipulator.
Codes and data associated with the article "Overcoming chemotherapy resistance in low-grade gliomas: A computational approach"
A user friendly compartmental modelling enviroment in R
Simulation of a net-launching anti-drone sentry turret using 1D differential equation solvers
Project for Numerical Methods course at Shirak State University
Some of my programming experiences using Python
Ordinary Differential Equations with Python using the Sagemath library
This is the C++ code that I wrote in undergraduate Numerical Analysis - Fall 2016
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