The satisfiability of a given branching program is to determine whether there exists a consistent path from the root to 1-sink. In a syntactic read-k-times branching program, each variable appears at most k times in any path from the root to a sink. We provide a satisfiability algorithm for syntactic read-k-times branching programs with n variables and m edges that runs in time O\left(\poly(n, m^{k^2})\cdot 2^{(1-\mu(k))n}\right), where \mu(k) = \frac{1}{4^{k+1}}. Our algorithm is based on the decomposition technique shown by Borodin, Razborov and Smolensky [Computational Complexity, 1993].
@InProceedings{nagao_et_al:LIPIcs.ISAAC.2017.58, author = {Nagao, Atsuki and Seto, Kazuhisa and Teruyama, Junichi}, title = {{Satisfiability Algorithm for Syntactic Read-\$k\$-times Branching Programs}}, booktitle = {28th International Symposium on Algorithms and Computation (ISAAC 2017)}, pages = {58:1--58:10}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-054-5}, ISSN = {1868-8969}, year = {2017}, volume = {92}, editor = {Okamoto, Yoshio and Tokuyama, Takeshi}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2017.58}, URN = {urn:nbn:de:0030-drops-82423}, doi = {10.4230/LIPIcs.ISAAC.2017.58}, annote = {Keywords: branching program, read-k-times, satisfiability, moderately exponential time, polynomial space} }
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