Empirical complexity guesser written in Java and Python
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Updated
Feb 26, 2025 - Java
Empirical complexity guesser written in Java and Python
A complexity analyzer written in C++ and Python.
My course materials for teaching Analysis and Design of Algorithms
UC Berkeley POLISCI 3 Fall 2019, Spring 2020
UC Berkeley POLISCI3 Fall 2020
Python project for analyzing simplex method complexity on LPs in canonical form. Tracks FLOPs, generates problems, fits models, visualizes with Matplotlib, and caches results. Builds on work by Pavlov, Kyselov, et al. Uses Nelder-Mead optimization and MSE loss to fit empirical data to theoretical models like Borgwardt, Smoothed, and Polynomial.
UC Berkeley POLISCI 3 Summer 2023
Empirical Analysis on Sorting Algorithms, using a custom-build algorithm testing tool
Empirical analysis of algorithms.
This repository briefly describes the statistical analyses conducted on tourism corpora consisting of digital photographs shared by English-speaking, popular travel boards on Instagram and official websites. It includes the code used to perform each analysis.
Master Thesis
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