07. Solve the Sudoku
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The problem can be found at the following link:
To solve the Sudoku puzzle, I have implemented a backtracking algorithm. I define a function isValid
that checks whether it's valid to place a number num
at the given cell (i, j)
on the Sudoku grid. This function checks the row, column, and the 3x3 subgrid containing the cell.
Then, I implement the SolveSudoku
function using a recursive backtracking approach. I iterate through each cell of the grid, and if the cell is empty (filled with 0
), I try placing numbers from 1
to 9
and validate if the placement is valid using the isValid
function. If valid, I proceed to the next cell and repeat the process. If a valid solution is found, the function returns true
, otherwise, I backtrack and try a different number.
Lastly, I have a printGrid
function to print the solved Sudoku grid.
Time Complexity: The backtracking algorithm explores all possible configurations of the Sudoku grid, so in the worst case, the time complexity is exponential, approximately O(9^(N*N))
, where N
is the size of the grid (typically 9 for standard Sudoku).
Auxiliary Space Complexity: In the worst case, it can go up to O(N*N)
, where N is the size of the grid. The additional space used for the isValid
function and temporary variables is relatively small and can be considered constant.
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