随机系统的模拟方法南加州大学研究生项目【国外】.zip

# 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