This package aims to be a constraint solver written in Julia and will be documented completely on my blog OpenSourc.es
In general it's the goal to be as fast as possible but also as a teaching project on how one can do such a project by himself. I'm just a MSc student in computer science so I don't have much knowledge on how constraint programming works but I'm keen to find out ;)
- Setup of the solver and basic backtracking for Sudoku
- Pruning in Sudoku
- More pruning and benchmarks
- Sophisticated implementation of the alldifferent constraint and benchmarks
- New data structure for better user interface and performance
- Backtrack without recursion and start of sum constraint
- Speed up the sum constraint
- UI changes and refactoring
- Recap video
- First step in graph coloring
- Comarison with MIP using graph coloring
- Documentation with Documenter.jl and newest Benchmarking results
You can install this julia package using
] add https://github.com/Wikunia/ConstraintSolver.jl or if you want to change code you might want to use
] dev https://github.com/Wikunia/ConstraintSolver.jl.
If everything goes well I will make a request to make this a julia package but that needs some more blog posts to make it a real constraint solver and not just something to play around with and solve sudokus.
If you find a bug or improvement please open an issue or make a pull request. You just enjoy reading and want to see more posts and get them earlier? Support me on Patreon