1 code implementation • 12 Aug 2021 • Priyanka Golia, Friedrich Slivovsky, Subhajit Roy, Kuldeep S. Meel
In this paper, we propose four algorithmic improvements for a data-driven framework for functional synthesis: using a dependency-driven multi-classifier to learn candidate function, extracting uniquely defined functions by interpolation, variables retention, and using lexicographic MaxSAT to repair candidates.
no code implementations • 6 Apr 2021 • Stefan Mengel, Friedrich Slivovsky
We introduce and investigate symbolic proof systems for Quantified Boolean Formulas (QBF) operating on Ordered Binary Decision Diagrams (OBDDs).
