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The eight queens puzzle is a special case of the more general n queens problem of placing n non-attacking queens on an n×n chessboard. Solutions exist for all natural numbers n with the exception of n = 2 and n = 3.
Backtracking is a class of algorithms for finding solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons a candidate ("backtracks") as soon as it determines that the candidate cannot possibly be completed to a valid solution.
Puzzles involving chessboards, including the eight queens puzzle, knight's tours, and the mutilated chessboard problem [1] [3] [4] Balance puzzles [3] River crossing puzzles [3] [4] The Tower of Hanoi [4] Finding the missing element in a data stream [1] The geometric median problem for Manhattan distance [1]
Algorithm X is a recursive, nondeterministic, depth-first, backtracking algorithm that finds all solutions to the exact cover problem. Some of the better-known exact cover problems include tiling, the n queens problem, and Sudoku. The name dancing links, which was suggested by Donald Knuth, stems from the way the
this volume includes an expanded version of the Notes on Structured Programming, above, including an extended example of using the structured approach to develop a backtracking algorithm to solve the 8 Queens problem. a pdf version is in the ACM Classic Books Series
Some hobbyists have developed computer programs that will solve Sudoku puzzles using a backtracking algorithm, which is a type of brute force search. [3] Backtracking is a depth-first search (in contrast to a breadth-first search), because it will completely explore one branch to a possible solution before moving to another branch.
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There is no polynomial f(n) that gives the number of solutions of the n-Queens Problem. Zaslav 04:39, 12 March 2014 (UTC) I believe that paper provides an algorithm to find a solution to an N-queens problem for large N, not to calculate the number of solutions. Jibal 10:17, 7 June 2022 (UTC)