@inproceedings{4c0de38d4d974933941f01178685a2ef,
title = "A polynomial time delta-decomposition algorithm for positive DNFs",
abstract = "We consider the problem of decomposing a positive DNF into a conjunction of DNFs, which may share a (possibly empty) given set of variables Δ. This problem has interesting connections with traditional applications of positive DNFs, e.g., in game theory, and with the broad topic of minimization of boolean functions. We show that the finest Δ -decomposition components of a positive DNF can be computed in polynomial time and provide a decomposition algorithm based on factorization of multilinear boolean polynomials.",
author = "Denis Ponomaryov",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-19955-5_28",
language = "English",
isbn = "9783030199548",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "325--336",
editor = "{van Bevern}, Ren{\'e} and Gregory Kucherov",
booktitle = "Computer Science – Theory and Applications - 14th International Computer Science Symposium in Russia, CSR 2019, Proceedings",
address = "Germany",
note = "14th International Computer Science Symposium in Russia, CSR 2019 ; Conference date: 01-07-2019 Through 05-07-2019",
}