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Subset sum in the absence of concentration

Authors :
Austrin, P.
Kaski, P.
Koivisto, M.
Nederlof, J.
Mayr, E.W.
Ollinger, N.
Mayr, Ernst W.
Ollinger, Nicolas
Department of Computer Science
Aalto-yliopisto
Aalto University
Stochastic Operations Research
Discrete Mathematics
Combinatorial Optimization 1
Source :
32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015, München., Germany, March 4-7, 2015), 48-61, STARTPAGE=48;ENDPAGE=61;TITLE=32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015, München., Germany, March 4-7, 2015)
Publication Year :
2015
Publisher :
Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2015.

Abstract

We study the exact time complexity of the Subset Sum problem. Our focus is on instances that lack additive structure in the sense that the sums one can form from the subsets of the given integers are not strongly concentrated on any particular integer value. We present a randomized algorithm that runs in O(2^0.3399nB^4) time on instances with the property that no value can arise as a sum of more than B different subsets of the n given integers. eywords: subset sum, additive combinatorics, exponential-time algorithm, homomorphic hashing, Littlewood--Offord problem

Details

Language :
English
Database :
OpenAIRE
Journal :
32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015, München., Germany, March 4-7, 2015), 48-61, STARTPAGE=48;ENDPAGE=61;TITLE=32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015, München., Germany, March 4-7, 2015)
Accession number :
edsair.doi.dedup.....9eef255995f8c156ad15a6a6ff8c0cec