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computational-complexity

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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.

  • Updated May 21, 2025
  • Python

This repository presents a constructive and complete proof of the P≠NP problem, based on structural separation and recursive unconstructibility. 本リポジトリは、構成的手法によりP≠NP問題を完全に証明した理論を収録しています。構成不能性と分離構造に基づく新たなアプローチです。

  • Updated Jun 22, 2025

🔍 An interactive visualization tool for the Merge Sort algorithm, featuring dual-tree animations, step-by-step execution, zoom & pan controls, and educational insights.

  • Updated May 28, 2025
  • JavaScript

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