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Simulation-Methods-For-Stochastic-Systems

Requirements

  • Python 2.7
  • Numpy >= 1.14.2
  • Matplotlib >= 2.2.0
  • Pandas >= 0.22.0
  • Scikit-Learn >= 0.19.1
  • Networkx >= 2.1

Usage

$ cd /path/to/folder 
$ python main.py

Documents

  1. Project 1.pdf and Report-1.pdf contains questions and report for:

    • 01-Distributions-Based-On-Bernoulli-Trials

    • 02-Bernoulli-Success-Counting

    • 03-Networking-Part-1

  2. Project 2.pdf and Report-2.pdf contains questions and report for:

    • 004-Networking-Part-2

    • 05-Exponential-Waiting-Time

    • 06-Double-Rejection

  3. Project 3.pdf and Report-3.pdf contains questions and report for:

    • 07-K-Means-Clustering-On-Old-Faithful-Data

    • 08-GMM-Expectation-Maximization

    • 09-Bag-Of-Words-Clustering

  4. Project 4.pdf and Report-4.pdf contains questions and report for:

    • 10-Pi-Approximation-Using-Monte-Carlo

    • 11-Monte-Carlo-Integration-Using-Stratification

    • 12-Monte-Carlo-Integration-Using-Importance-Sampling

  5. Project 5.pdf and Report-5.pdf contains questions and report for:

    • 13-MCMC-For-Sampling

    • 14-MCMC-For-Optimization

    • 15-MCMC-For-Traveling-Salesman-Problem