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  2. 3-partition problem - Wikipedia

    en.wikipedia.org/wiki/3-partition_problem

    The 3-partition problem is a strongly NP-complete problem in computer science. The problem is to decide whether a given multiset of integers can be partitioned into triplets that all have the same sum. More precisely: Input: a multiset S containing n positive integer elements.

  3. Multiway number partitioning - Wikipedia

    en.wikipedia.org/wiki/Multiway_number_partitioning

    Let C i (for i between 1 and k) be the sum of subset i in a given partition. Instead of minimizing the objective function max(C i), one can minimize the objective function max(f(C i)), where f is any fixed function. Similarly, one can minimize the objective function sum(f(C i)), or maximize min(f(C i)), or maximize sum(f(C i)).

  4. Partition problem - Wikipedia

    en.wikipedia.org/wiki/Partition_problem

    [2] [3] There is an optimization version of the partition problem, which is to partition the multiset S into two subsets S 1, S 2 such that the difference between the sum of elements in S 1 and the sum of elements in S 2 is minimized. The optimization version is NP-hard, but can be solved efficiently in practice. [4]

  5. Multiset - Wikipedia

    en.wikipedia.org/wiki/Multiset

    Also, a monomial is a multiset of indeterminates; for example, the monomial x 3 y 2 corresponds to the multiset {x, x, x, y, y}. A multiset corresponds to an ordinary set if the multiplicity of every element is 1. An indexed family (a i) i∈I, where i varies over some index set I, may define a multiset, sometimes written {a i}.

  6. Subset sum problem - Wikipedia

    en.wikipedia.org/wiki/Subset_sum_problem

    In its most general formulation, there is a multiset of integers and a target-sum , and the question is to decide whether any subset of the integers sum to precisely . [1] The problem is known to be NP-complete. Moreover, some restricted variants of it are NP-complete too, for example: [1]

  7. Multiple subset sum - Wikipedia

    en.wikipedia.org/wiki/Multiple_subset_sum

    Max-sum MSSP: for each subset j in 1,...,m, there is a capacity C j. The goal is to make the sum of all subsets as large as possible, such that the sum in each subset j is at most C j. [1] Max-min MSSP (also called bottleneck MSSP or BMSSP): again each subset has a capacity, but now the goal is to make the smallest subset sum as large as ...

  8. Path ordering (term rewriting) - Wikipedia

    en.wikipedia.org/wiki/Path_ordering_(term_rewriting)

    As an example, a term rewriting system for "multiplying out" mathematical expressions could contain a rule x*(y+z) → (x*y) + (x*z). In order to prove termination, a reduction ordering (>) must be found with respect to which the term x*(y+z) is greater than the term (x*y)+(x*z). This is not trivial, since the former term contains both fewer ...

  9. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The program can create a complete text representation of any group of objects by calling these methods, which are almost always already implemented in the base associative array class. [ 23 ] For programs that use very large data sets, this sort of individual file storage is not appropriate, and a database management system (DB) is required.

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