Faster Algorithms for Weak Backdoors

Authors: Serge Gaspers, Andrew Kaploun3741-3748

AAAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We design a new algorithm for WB(3CNF, 0-VAL) by reducing it to a local search variant of 3-SAT. We show that our algorithm runs in time O (2.562k), improving on the previous state-of-the-art of O (2.85k). Here, the O notation is a variant of the big-O notation that allows to omit polynomial factors in the input size. Next, we look at WB(3CNF, NULL), where NULL is the class consisting of the empty formula. This problem was known to have a trivial running time upper bound of O (6k) and can easily be solved in O (3k) time. We use a reduction to CONFLICT FREE d-HITTING SET to prove an upper bound of O (2.2738k), and also prove a lower bound of 2o(k) assuming the Exponential Time Hypothesis. Finally, HORN is the class of formulae with at most one positive literal per clause. We improve the previous O (4.54k) running time for WB(3CNF, HORN) problem to O (4.17k), by exploiting the structure of the SAT instance to give a novel proof of the non-existence of the slowest cases after a slight restructuring of the branching priorities.
Researcher Affiliation Academia School of Computer Science and Engineering, UNSW Sydney serge.gaspers@unsw.edu.au, andrewkaploun0@gmail.com
Pseudocode Yes Apply the following branching rules exhaustively: Branching Rule 1.( ) If there is a positive 3-clause (x, y, z), branch into the following cases: x = 1 y = 1 z = 1 x = 0, y = 0 x = 0, z = 0 y = 0, z = 0
Open Source Code No The paper does not provide concrete access to source code for the methodology described.
Open Datasets No The paper is theoretical and does not use datasets for empirical evaluation.
Dataset Splits No The paper is theoretical and does not involve experimental validation with dataset splits.
Hardware Specification No The paper is theoretical and does not report on experiments, thus no hardware specifications are provided.
Software Dependencies No The paper is theoretical and does not report on experiments, thus no specific software dependencies with version numbers are mentioned.
Experiment Setup No The paper is theoretical and does not report on experiments, thus no experimental setup details such as hyperparameters are provided.