๐ฎ
๐ฎ
The Ethereal
Simple Reductions from Formula-SAT to Pattern Matching on Labeled Graphs and Subtree Isomorphism
August 26, 2020 ยท The Ethereal ยท ๐ SIAM Symposium on Simplicity in Algorithms
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Daniel Gibney, Gary Hoppenworth, Sharma V. Thankachan
arXiv ID
2008.11786
Category
cs.CC: Computational Complexity
Cross-listed
cs.DS
Citations
18
Venue
SIAM Symposium on Simplicity in Algorithms
Last Checked
2 months ago
Abstract
The CNF formula satisfiability problem (CNF-SAT) has been reduced to many fundamental problems in P to prove tight lower bounds under the Strong Exponential Time Hypothesis (SETH). Recently, the works of Abboud, Hansen, Vassilevska W. and Williams (STOC 16), and later, Abboud and Bringmann (ICALP 18) have proposed basing lower bounds on the hardness of general boolean formula satisfiability (Formula-SAT). Reductions from Formula-SAT have two advantages over the usual reductions from CNF-SAT: (1) conjectures on the hardness of Formula-SAT are arguably much more plausible than those of CNF-SAT, and (2) these reductions give consequences even for logarithmic improvements in a problems upper bounds. Here we give tight reductions from Formula-SAT to two more problems: pattern matching on labeled graphs (PMLG) and subtree isomorphism. Previous reductions from Formula-SAT were to sequence alignment problems such as Edit Distance, LCS, and Frechet Distance and required some technical work. This paper uses ideas similar to those used previously, but in a decidedly simpler setting, helping to illustrate the most salient features of the underlying techniques.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computational Complexity
๐ฎ
๐ฎ
The Ethereal
An Exponential Separation Between Randomized and Deterministic Complexity in the LOCAL Model
๐ฎ
๐ฎ
The Ethereal
The Parallelism Tradeoff: Limitations of Log-Precision Transformers
๐ฎ
๐ฎ
The Ethereal
The Hardness of Approximation of Euclidean k-means
๐ฎ
๐ฎ
The Ethereal
Slightly Superexponential Parameterized Problems
๐ฎ
๐ฎ
The Ethereal