This project aims at running Monte Carlo Simulations to simulate life on earth.
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Updated
Oct 6, 2018 - MATLAB
This project aims at running Monte Carlo Simulations to simulate life on earth.
Code for the paper "Robust Performance Analysis for Time-Varying Multi-Agent Systems with Stochastic Packet Loss" by C. Hespe and H. Werner
Monte Carlo simulations uses repeated random samples to obtain numerical results.
Code skeletons for implementing PMH in MATLAB based on the repo pmh-tutorial
This project from the series of "Statistical and Computational Methods in Physics" is a Monte-Carlo simulation for a two-dimensional Ising model.
Introduction of system identification on an unkown plant with various models.
This MATLAB code implements the classical Monte Carlo method for solving partial differential equations (PDEs). The code uses the log function of the norm of a random vector as an example PDE and computes the solution at time T=1 and initial condition x0=0.
Monte Carlo simulation uses repeated random samples to obtain numerical results.
Markov Chain Monte Carlo Correlation Coefficient
Nucleation for Probabilistic Cellular Automata project for the Complex Systems course @ Utrecht University.
Estimation of the value of the number pi using the Monte Carlo method with visualization.
Monte Carlo 1D random walk using multiple methods
Synthetic Data Generation by Markov Chain Monte Carlo (MCMC)
A Polymer Monte Carlo Simulation Program
A minimum Monte Carlo simulation code for positron propagation in the magnetic field.
Monte Carlo simulation for the Monty Hall problem, calculates the probabilities of winning by holding on to original choice, or altering choice.
An Implementation of Markov Switching Models for Weather Derivative Pricing
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
Sane Extensions to MATLAB
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