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Sudoku with Linear Optimization
Python Linear Optimization Algorithms Mathematics
2023
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Project Overview
This project implements advanced algorithms to solve various types of Sudoku puzzles using linear optimization techniques. The approach transforms Sudoku puzzles into linear programming problems, allowing for extremely fast and efficient solutions. The project demonstrates the application of mathematical optimization to puzzle solving and includes implementations for standard Sudoku as well as variants like Killer Sudoku, Diagonal Sudoku, and more.
Key Features
- •Fast solving of standard 9x9 Sudoku puzzles
- •Support for Sudoku variants (Killer, Diagonal, etc.)
- •Performance benchmarking against traditional methods
- •Visualization of the solving process
- •Puzzle difficulty assessment
- •Puzzle generation capabilities
- •Command-line interface for easy use
Technologies Used
- •Python for implementation
- •Linear programming libraries
- •Mathematical modeling of constraints
- •Algorithm optimization techniques
- •Visualization tools for results
- •Performance testing framework
- •Command-line interface design