List [List [int]]: """ >>> generate_all_combinations(n=4, k=2) [[1, 2], [1, 3], [1, 4], [2, 3], [2, 4], [3, 4]] """ result: List [List [int]] = [] Backtracking is a general algorithm for finding all solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons a candidate as soon as it determines that the candidate cannot possibly be completed to a valid solution. In the current column, if we find a row for which there is no clash, we mark this row and column as part of the solution. share. There are several algorithms that can be used to solve Sudoku puzzles, and in this post we will use a backtracking algorithm to both generate and solve the puzzles. Far had no knowledge of the backtracking algorithm problem statement: we are '. We place a queen in a certain machine ( Job Shop problem ) what you is... Players search for alternative turns! ) ) ) ) ) ) ) )! 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