A command line tool for computational hard problems and their reductions
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Updated
May 12, 2026 - Rust
A command line tool for computational hard problems and their reductions
Lectures for the "Problem Solving" Class at Nanjing University.
Efficient zero-knowledge arguments in the discrete log setting, revisited
This repository was setup to help people who believe that they solved the P vs NP problem and to help the people who review proposed solutions.
Experimental Subset Sum solver for large integers using SQLite as an out-of-core storage engine.
P ≠ NP via Ising Energy Landscape Fragmentation — OGP 0.00%, 35/35 checks, n = 50,000, SOS conjecture ⟹ P ≠ NP
A C++ program that efficiently calculates the average values of nodes at each level in a binary tree, employing a level-order traversal approach for accurate and fast computation.
CA and Problem Sheets assigned to expedite the learning of the Theory of Computation, formally named the Theory of Algorithms. Fourth Year, Theory of Algorithms, Software Development.
Push_swap is a project about sorting data on a stack, with a limited set of instructions, using the lowest possible number of actions. Its goal is reaching an optimized data sorting solution.
A program that sorts a stack of numbers using a minimal set of operations
A public copy of the trend-prof empirical computational complexity measurement tool
This library is developed to perform efficient and exact computation of Dempster's and Fagin-Halpern conditionals (DS-Conditional-One and DS-Conditional-All in C++)
Mathematics-Backed Peer to Peer Network — Rust node, marketplace, Lean 4 verified math
Python and LaTeX source code of my MSc thesis
Code written for lectures and homework in USC CSCI570-Analysis-of-Algorithms Course 🚀🚀🚀
Flagship executable URF/Chronos implementation with verified build and test surface
Trusted base of definitions, schemas, and verification artifacts for the Unified Rigidity Framework
Pattern-Aware Complexity Framework (PACF) - A Python implementation for analyzing and exploiting structural patterns in NP-hard optimization problems, with a focus on the Traveling Salesman Problem (TSP). Supports extensible domains like genetic sequences and weather forecasting. Licensed under MIT
Implementação de algoritmos de ordenação
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