Backdoors into Heterogeneous Classes of SAT and CSP

Authors: Serge Gaspers, Neeldhara Misra, Sebastian Ordyniak, Stefan Szeider, Stanislav Zivny

AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We draw a detailed complexity landscape for the problem of detecting strong backdoor sets into heterogeneous base classes for SAT and CSP. We provide algorithms that establish fixedparameter tractability under natural parameterizations, and we contrast the tractability results with hardness results that pinpoint the theoretical limits.
Researcher Affiliation Academia Serge Gaspers UNSW and NICTA Sydney, Australia sergeg@cse.unsw.edu.au Neeldhara Misra Indian Institute of Science Bangalore, India mail@neeldhara.com Sebastian Ordyniak Masaryk Univ. Brno, Czech Republic sordyniak@gmail.com Stefan Szeider Vienna Univ. of Technology Vienna, Austria stefan@szeider.net Stanislav ˇZivn y Univ. of Oxford Oxford, UK standa@cs.ox.ac.uk
Pseudocode No No structured pseudocode or algorithm blocks were found.
Open Source Code No The paper does not provide any concrete access to source code for the described methodology.
Open Datasets No The paper is theoretical and does not involve experimental evaluation on datasets, thus no dataset access information is provided.
Dataset Splits No The paper is theoretical and does not involve experimental evaluation with dataset splits.
Hardware Specification No The paper is theoretical and does not describe experiments that would require specific hardware specifications.
Software Dependencies No The paper is theoretical and does not provide specific software dependency versions for replication.
Experiment Setup No The paper is theoretical and does not describe an experimental setup with hyperparameters or training configurations.