Using Decomposition-Parameters for QBF: Mind the Prefix!

Authors: Eduart Eiben, Robert Ganian, Sebastian Ordyniak

AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper we extend the ordinary pathwidth to the QBF-setting by introducing prefix pathwidth, which takes into account the dependencies between variables in a QBF, and show that it leads to an efficient algorithm for QBF.
Researcher Affiliation Academia Eduard Eiben, Robert Ganian, Sebastian Ordyniak TU Wien, Vienna, Austria
Pseudocode No The paper describes algorithmic procedures (Initialization, Introduce, Forget, Termination) and provides theoretical complexity analysis for them, but it does not present them in a structured pseudocode block or a clearly labeled algorithm section.
Open Source Code No The paper does not provide any statements about releasing open-source code for the described methodology, nor does it provide any links to a code repository.
Open Datasets No The paper is theoretical and does not involve experiments with datasets. Therefore, no information about publicly available datasets is provided.
Dataset Splits No The paper is theoretical and does not involve experiments with datasets, so it does not provide information on training/validation/test splits.
Hardware Specification No The paper is theoretical and does not describe any specific hardware used for running experiments.
Software Dependencies No The paper is theoretical and does not mention any specific software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not include details on experimental setup, hyperparameters, or training configurations.