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This project consists of 5 small simulation tasks, which involve Sampling, Inverse CDF method, K-means Clustering, EM algorithm, Monte Carlo and Simulated Annealing algorithm.

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Projects-for-EE 511

Here are 5 projects I did in the course EE 511-Simulation Methods for Stochastic System. These programs involved many contents about simulation and statistics. All of them were done with Spyder(Python 3.5).

Introduction

  • Project 1
    Bernoulli trials, Sampling, Bootstrap
  • Project 2
    Inverse CDF Method, Networking
  • Project 3
    K-means clustering and mixture distribution
  • Project 4
    Expectation Maximization (EM) algorithm, Gaussian Mixture Model (GMM), Noise in GMM
  • Project 5
    Monte Carlo, Variance Reduction Methods for Monte Carlo, Simulated Annealing algorithm

Details

Please check out in specific folders.

Others

If you have any advise for my projects, feel free to contact me via this address: [email protected] or [email protected]
Thank you!

Linghao Li
1/1/2017

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This project consists of 5 small simulation tasks, which involve Sampling, Inverse CDF method, K-means Clustering, EM algorithm, Monte Carlo and Simulated Annealing algorithm.

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