Jul 4, 2021 · Abstract:We initiate the study of fine-grained completeness theorems for exact and approximate optimization in the polynomial-time regime.
scholar.google.com › citations
Sep 15, 2021 · Abstract. We initiate the study of fine-grained completeness theorems for exact and approximate optimization in the polynomial-time regime.
Jul 4, 2021 · Abstract. We initiate the study of fine-grained completeness theorems for exact and approximate optimization in the polynomial-time regime.
Author: Bringmann, Karl et al.; Genre: Conference Paper; Published online: 2021; Open Access; Title: Fine-Grained Completeness for Optimization in P.
Duration: 19:59
Posted: Aug 16, 2021
Posted: Aug 16, 2021
Karl Bringmann, Alejandro Cassis, Nick Fischer, Marvin Künnemann: Fine-Grained Completeness for Optimization in P. CoRR abs/2107.01721 (2021).
We initiate the study of fine-grained completeness theorems for exact and approximate optimization in the polynomial-time regime.
People also ask
What are the stopping criteria for optimization?
What is the best optimization algorithm?
What is a discrete optimization problem?
How do optimization algorithms work?
In this lecture, we'll describe the classes into which problems are divided in the classical theory of NP-completeness. • This is the scheme used in the vast ...
We study the fine-grained complexity of NP-complete satisfiability (SAT) problems and constraint satisfaction problems (CSPs) in the.
“Optimization” problems f(G) = size of the largest clique. “Algebraic” problems f(matrix A) = value of the determinant. 9. #P-complete using existing hardness.