Improved low-density subset sum algorithms

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Solving Low - density Subset Sum

Definition 1. Subset sum (SSUM) is the following problem: given a1, . . . , an ∈ [0, X] and s = ∑ aixi where each xi ∈ {0, 1}, find ~x = (x1, . . . , xn). Definition 2. The density of a subset sum problem is defined as n logX ; the ratio between the number of elements in your sum to the number of bits in the range of ais. Low density means n logX is very small, for example 1 n2 where X = 2 n . ...

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The general subset sum problem is NP-complete. However, there are two algorithms, one due to Brickell and the other to Lagarias and Odlyzko, which in polynomial time solve almost all subset sum problems of suuciently low density. Both methods rely on basis reduction algorithms to nd short non-zero vectors in special lattices. The Lagarias-Odlyzko algorithm would solve almost all subset sum prob...

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ژورنال

عنوان ژورنال: Computational Complexity

سال: 1992

ISSN: 1016-3328,1420-8954

DOI: 10.1007/bf01201999