A randomized, efficient algorithm for 3SAT
Cristian Dumitrescu

TL;DR
This paper introduces a randomized algorithm for 3SAT that builds on previous methods, providing strong probabilistic guarantees of finding solutions efficiently in polynomial time.
Contribution
It presents a new 3SAT algorithm based on earlier randomized approaches, with arguments supporting its high-probability polynomial-time performance.
Findings
Algorithm finds solutions with high probability
Operates in polynomial time
Builds on Papadimitriou and Schoning's methods
Abstract
In this paper I present a 3SAT algorithm based on the randomized algorithm of Papadimitriou from 1991, and Schoning from 1991. We also present strong arguments that this algorithm finds a solution (if it exists) for a 3SAT problem with high probability in polynomial time.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsConstraint Satisfaction and Optimization
