A simple implementation of the 2-dimensional Ising model (Monte Carlo simulation)
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Updated
May 20, 2020 - Jupyter Notebook
A simple implementation of the 2-dimensional Ising model (Monte Carlo simulation)
Implements and evaluates TrieHH and SFP heavy-hitter algorithms under local differential privacy, including full data preprocessing, simulation, and F1-score analysis on Wikipedia Clickstream. Designed for reproducible experiments and privacy–utility benchmarking.
热力学与统计力学II课程课题
Our goal is to see how much investment potential these ETFs have based on key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, and betas. We will be working on a Jupyter Notebook and visualizing all of our data using hvplot to create interactive visualizations as well as running an MC Simulation at the end.
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