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PARALLEL COMBINATORIAL ALGORITHMS FOR MULTI-SETS AND THEIR APPLICATIONS

Authors: HOANG CHI THANH;

PARALLEL COMBINATORIAL ALGORITHMS FOR MULTI-SETS AND THEIR APPLICATIONS

Abstract

In this paper we extend some well-known notions of combinatorics on multi-sets such as iterative permutation, multi-subset, iterative combination and then construct new efficient algorithms for generating all iterative permutations, multi-subsets and iterative combinations of a multi-set. Applying the parallelizing method based on output decomposition we parallelize the algorithms. Furthermore, we use these algorithms to solve an optimal problem of work arrangement and an extended knapsack one.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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