Solutions to Susanna Epp's Discrete Mathematics book, 5th Edition

Python implementation of block decomposition method for approximating algorithmic complexity

Causal Deconvolution of Networks by Algorithmic Generative Models

An Algorithmic Information Theory Library (And Information-theory broadly); Implements numerous approximations, estimations, as well as a comprehensive MC-AIXI Agent & Model Ensemble platform.

Algorithmic Information Dynamics with the R Language

Nhập môn Phân tích độ phức tạp thuật toán @ HCMUS

CostComplexityProfiler: Advanced Algorithmic Complexity Assessment Model with Unified Composite Score. A sophisticated static analysis tool designed to evaluate the "cost" of software projects across multiple dimensions beyond traditional time complexity.

Highlighting the background, mathematical expression, algorithmic complexity and structure of the Fast Fourier Transform: one of the most influential algorithms of the 20th century.

Python implementation of block decomposition method for approximating algorithmic complexity

This paper proves a fundamental impossibility theorem for universal complexity measures.

2025-1 - Recursos, prácticas y proyectos de mi curso de Estructura de Datos con el profesor Canek Pélaez

Data and code for the triple product property (TPP) triples computational search project

This is the solution of a Google Interview Question asked in a video (Google Coding Interview With A College Student) in Clement Mihailescu's channel

WIP sorter class which will incorporate various sorting algorithms to be called from class. Intended to act as a utility sorter class where a specific sort can be selected and ran on an array. Also included in sorter class are methods to analyze the number of operations performed, by type, and the running time of these operations in CPU time.

push_swap is a sorting algorithm project from the 42/1337 curriculum, focused on sorting a stack of integers using a limited set of operations with the goal of minimizing the number of moves.

Toolkit for measuring protein sequence algorithmic complexity

Reasoning quality analysis for autonomous agents — detect silent reasoning failures using optimal transport, information theory, and algorithmic complexity.