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A sudoku solver that solves large grids in under 1 second using Knuth's Algorithm X, dancing links, exact cover matrices, and backtracking

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AditiR-42/sudoku-solver

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Average Solve Time Comparison:

9x9: Naive (31 ms) vs. Fast (20 ms)

16x16: Naive (10+ min) vs. Fast (115 ms)

25x25: Naive (too long) vs. Fast (460 ms)


Naive Sudoku Solver:

Uses a recursive backtracking algorithm.

To Test:

Compile and run NaiveSudokuSolver.java, replacing the grid with a new sample grid if desired.


Fast Sudoku Solver:

Applies Donald Knuth's Algorithm X and Dancing Links technique to the Exact Cover problem.

Given a matrix A consisting of 0s and 1s, the goal of the Exact Cover problem is to choose a subset of rows such that 1 appears in each column only once.

Algorithm X works as follows:

If the matrix A has no columns, the current partial solution is a valid solution; terminate successfully.

1. Otherwise choose a column c (with the minimum number of 1s in it).
2. Choose a row r such that A[r][c] = 1 (nondeterministically).
3. Include row r in the partial solution.
4. For each column j such that A[r][j] = 1,
    for each row i such that A[i][j] = 1,
        delete row i from matrix A.
    delete column j from matrix A.
5. Repeat this algorithm recursively on the reduced matrix A.

The Dancing Links technique allows us to apply Algorithm X to binary matrices. Dancing Links represent a binary matrix as a doubly circular linked list, where each node contains pointers to its previous node as well as the next node, and the first and last nodes contain each other's addresses in their previous and next pointers, respectively. When a node is removed, adjacent nodes are updated to point to each other, thus unlinking the node. The removed node retains its links to adjacent nodes, so it can easily be added back into the binary matrix (in cases where we need to backtrack to find another solution).

The overall solving process first converts a sudoku grid into a cover matrix, where each number's position is represented in 0s and 1s, along with the 4 constraints of there being a certain number of digits and each digit appearing exactly once in each row, column, and box. Second, convert the cover matrix into a doubly circular linked list, using the Dancing Links technique. Third, apply Algorithm X to the linked list to find an Exact Cover (or the solution) for the sudoku. Dancing Links allows us to easily backtrack (and uncover or cover) as needed. Finally, convert the linked list solution back to a sudoku grid.

To Test:

Compile and run FastSudokuSolver.java, replacing the grid with a new sample grid if desired.


References:

https://en.wikipedia.org/wiki/Knuth%27s_Algorithm_X

https://www.geeksforgeeks.org/exact-cover-problem-algorithm-x-set-1/

https://www.geeksforgeeks.org/exact-cover-problem-algorithm-x-set-2-implementation-dlx/

https://www.ocf.berkeley.edu/~jchu/publicportal/sudoku/sudoku.paper.html#mySolver

https://medium.com/javarevisited/building-a-sudoku-solver-in-java-with-dancing-links-180274b0b6c1

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A sudoku solver that solves large grids in under 1 second using Knuth's Algorithm X, dancing links, exact cover matrices, and backtracking

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