Approximating Subset Sum Ratio via Subset Sum Computations
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We present a new FPTAS for the Subset Sum Ratio problem, which, given a set of integers, asks for two disjoint subsets such that the ratio of their sums is as close to 1 as possible. Our scheme makes use of exact and approximate algorithms for the closely related Subset Sum problem, hence any progress over those – such as the recent improvement due to Bringmann and Nakos [SODA 2021] – carries over to our FPTAS. Depending on the relationship between the size of the input set n and the error margin ε, we improve upon the best currently known algorithm of Melissinos and Pagourtzis [COCOON 2018] of complexity O(n^4 / ε). In particular, the exponent of n in our proposed scheme may decrease down to 2, depending on the Subset Sum algorithm used. Furthermore, while the aforementioned state of the art complexity, expressed in the form O((n + 1 / ε)^c), has constant c = 5, our results establish that c < 5.
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