Reduction from k-Clique to CFG Recognition: Difference between revisions
Jump to navigation
Jump to search
No edit summary Tag: Reverted |
No edit summary Tags: Manual revert Reverted |
||
| Line 7: | Line 7: | ||
== Implications == | == Implications == | ||
assume: k-Clique Hypothesis<br/>then: there is no $O(N^{\ | assume: k-Clique Hypothesis<br/>then: there is no $O(N^{\omega-\epsilon}) time algorithm for target for any $\epsilon > {0}$ | ||
== Year == | == Year == | ||
Revision as of 10:00, 10 April 2023
FROM: k-Clique TO: CFG Recognition
Description
Implications
assume: k-Clique Hypothesis
then: there is no $O(N^{\omega-\epsilon}) time algorithm for target for any $\epsilon > {0}$
Year
2017
Reference
Abboud, A., Backurs, A., Bringmann, K., & Künnemann, M. (2017, October). Fine-grained complexity of analyzing compressed data: Quantifying improvements over decompress-and-solve. In 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 192-203). IEEE.