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Maximum Satisfiability in Software Analysis: Applications and Techniques Mayur Naik | CAV 2017
Boolean Satisfiability Problem - Intro to Theoretical Computer Science
Structure-guided Local Improvement for Maximum Satisfiability
Lecture 19: Approximating Maximum Satisfiability via LP
CP2021 Improving Local Search for Structured SAT Formula via Unit Propagation based Initialization
MaxSat by LP Rounding
QIP2023 | Solving boolean satisfiability problems with the quantum approx. optimization algorithm
The Satisfiability Problem, and SAT is in NP
Algorithms for NP-Hard Problems (Section 21.5: Satisfiability Solvers)
Solving Max-SAT by Decoupling Optimization and Satisfaction
CPAIOR 2020 Master Class: MaxSAT
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Last Updated: September 28, 2026
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Summary
Jeremias Berg (University of Helsinki), Matti Järvisalo (University of Helsinki), and Ruben Martins (CMU) ... CP2021 presentation of the paper "Refined Core Relaxation for Core-Guided MaxSAT Presentation of CP2020 ACP Doctoral Thesis Award Winner " Tutorial @ CAV 2017, Heidelberg Germany. This video is part of an online course, Intro to Theoretical Computer Science. the course here: ... André Schidler (TU Wien) simons.berkeley.edu/talks/andre-schidler-2023-04-17 A simple 1/2-approximation algorithm for We take a look at 2 randomized algorithms for Here we introduce the SAT problem, which consists of a boolean formula (with variables and operations AND, OR, and NOT). In many applications, the primary goal is to figure out whether a feasible