A combinatorial problem usually requires enumerating, counting, or ascertaining existence of structures that satisfy a given property in a set of structures . We now show that slicing can be used for solving such problems mechanically and efficiently. Specifically, we give an efficient (polynomial time) algorithm to enumerate, count, or detect structures that satisfy when the total set of structures is large but the set of structures satisfying is small. We illustrate the slicing method by analyzing problems in integer partitions, set families, and the set of permutations.

Consider the following combinatorial problems:

- (Q1) Count the number of subsets of the set (the set {}), which have size and do not contain any ...

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