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The problem of finding all solutions to the 8-queens problem can be quite computationally expensive, as there are 4,426,165,368 possible arrangements of eight queens on an 8×8 board, [a] but only 92 solutions.
The most famous problem of this type is the eight queens puzzle. Problems are further extended by asking how many possible solutions exist. Further generalizations apply the problem to NxN boards. [3] [4] An 8×8 chessboard can have 16 independent kings, 8 independent queens, 8 independent rooks, 14 independent bishops, or 32 independent ...
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.
The ZDD for S8 consists of all potential solutions of the 8-Queens problem. For this particular problem, caching can significantly improve the performance of the algorithm. Using cache to avoid duplicates can improve the N-Queens problems up to 4.5 times faster than using only the basic operations (as defined above), shown in Figure 10.
I think this is a more clear solution of the problem in Python, but the article's current recursive solution is probably better for readers because it represents how the problem would be solved in most languages. # Print all solutions to 8-queens problem. Public domain, Connelly Barnes 2006.
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However, because the queens are all alike, and that no two queens can be placed on the same square, the candidates are all possible ways of choosing of a set of 8 squares from the set all 64 squares; which means 64 choose 8 = 64!/(56!*8!) = 4,426,165,368 candidate solutions – about 1/60,000 of the previous estimate. Further, no arrangement ...
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