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A complexity analysis of space-bounded learning algorithms for the constraint satisfaction problem

AAAI/IAAI, Vol. 1, pp.298-304, (1996)

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Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze the effects of polynomial-space-bounded learning on runtime complexity of backtrack search. One space-bounded learning scheme records only those constramts With...更多

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