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An Approximation Algorithms for MaxSAT
CPAIOR 2020 Master Class: MaxSAT
Maximum Satisfiability in Software Analysis: Applications and Techniques Mayur Naik | CAV 2017
CP2020 Solving Optimization Problems via Maximum Satisfiability: Encodings and Re-Encodings
CS6515 Lecture24 LP4 Max SAT Approximation Made with Clipchamp
Neng Huang — On the Mysteries of MAX NAE-SAT
Preprocessing SAT, MaxSAT, and QBF 1
Proof Logging for MaxSAT – The Past, The Present and The Future
Lecture 16: Reducing Probabilistic Reasoning (MPE) to Weighted MAX-SAT
CP2021 Best Paper Combining Clause Learning and Branch and Bound for MaxSAT
Matthias Poloczek: New Approximation Algorithms for MAX SAT Simple, Fast, and Excellent in Practice
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Last Updated: September 29, 2026
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Jeremias Berg (University of Helsinki), Matti Järvisalo (University of Helsinki), and Ruben Martins (CMU) ... A simple 1/2-approximation algorithm for Textbooks: Computational Complexity: A Modern Approach by S. Arora and B. Barak. Algorithm Design by J. Kleinberg and E. Tutorial @ CAV 2017, Heidelberg Germany. Presentation of CP2020 ACP Doctoral Thesis Award Winner "Solving Optimization Problems via An Online CSP Seminar talk by Neng Huang held on 23 Sep 2020. More information about the seminar can be found at ... Benjamin Kiesl (SAP) simons.berkeley.edu/talks/preprocessing Theoretical Foundations of SAT/SMT Solving. Most probable explanation (MPE). Weighted CP2021 presentation of the best paper "Combining Clause Learning and Branch and Bound for Matthias Poloczek: New Approximation Algorithms for
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