A set of constraints is created for the Sudoku puzzle. The ConstraintProgram class is responsible for providing these. Each variable has basically 4 constraints associated with it: Constraint 1: position/location: Each cell maybe taken up by ONLY 1 value. Constraint 2: row: Each number from 1 to 9 can only be present once in a row. Constraint 3: column: Each number from 1 to 9 can only be present once in a column. Constraint 4: region: Each region (a smaller grid of size 3x3) can contain a number from 1 to 9 at most once.

A Python program that: 🧠 Generates a valid Sudoku puzzle ✏️ Removes numbers to create a playable board ✅ Solves the Sudoku using backtracking 🖥 Displays the board in clean ASCII format 🎯 Verifies correctness This project is excellent for: Algorithm practice Backtracking & recursion Constraint satisfaction problems Clean terminal UI

Python program that solves any solvable Sudoku puzzle using the AC3 constraint satisfaction AI algorithm.

A program that solves Sudoku problem as constraint satisfaction problem using backtracking with forward checking

A program that uses the GPU to solve sudoku puzzles. These puzzles are an interesting example of a constraint-satisfaction problem, which is a general approach to solving a wide variety of problems. This computation also lends itself well to the GPU: a lot of available parallelism within each puzzle, and can solve many puzzles simultaneously.

Sudoku Solver using constraint satisfaction programming

Sudoku solver using constraint satisfaction and logic programming in Prolog.

This program implements a Sudoku puzzle solver using a Constraint Satisfaction Problems approach. [BackTracking / BackJumping]

Program which uses CSP (Constraint Satisfaction Problem) approach to solve a sudoku quiz.

An AI-based Sudoku solver implemented in Python using constraint satisfaction. The program validates user input and solves the puzzle efficiently.

A program that solves 9x9 sudoku puzzles using constraint satisfaction techniques by using backtracking algorithms to find solutions

Python program that solves a 9 x 9 Sudoku puzzle. Uses constraint satisfaction with MRV heuristic.

A program that solves a sudoku board given a starting position, using the backtracking algorithm that is widely used to solve constraint satisfaction problems

Implementation of a general solver for Constraint Satisfaction Problems using backtracking search and the arc-consistency algorithm AC-3. The program solves Sudoku boards of varying difficulty.

Programming Assignment 2 for CISC 681: Artificial Intelligence - Presents sudoku as a binary constraint satisfaction problem and solves the board using AC-3 and backtracking

This repository contains simple C programs for solving constraint satisfaction problems using backtracking. It includes a Sudoku solver, a cryptarithmetic solver (SEND + MORE = MONEY), and Telangana map coloring. The code is written in a clear and basic style.

This program solves Sudoku puzzles using a Constraint Satisfaction Problem (CSP) approach with backtracking and constraint propagation. Users can input a custom puzzle or generate a random one to solve. It displays the problem and solution if solvable; otherwise, it notifies the user if no solution exists.

A Python program designed to be able to solve any sudoku provided in the required format of a NumPy 9x9 Matrix. Uses AI techniques: Depth-first search and Constraint Satisfaction/Propagation to solve rapidly.