On generating all maximal independent sets
Information Processing Letters
Discrete Mathematics - Topics on domination
Which problems have strongly exponential complexity?
Journal of Computer and System Sciences
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An exact algorithm for the minimum dominating clique problem
Theoretical Computer Science
Efficient Exact Algorithms through Enumerating Maximal Independent Sets and Other Techniques
Theory of Computing Systems
Efficient approximation of min set cover by moderately exponential algorithms
Theoretical Computer Science
A measure & conquer approach for the analysis of exact algorithms
Journal of the ACM (JACM)
Approximation of min coloring by moderately exponential algorithms
Information Processing Letters
Exponential-time approximation of weighted set cover
Information Processing Letters
Set Partitioning via Inclusion-Exclusion
SIAM Journal on Computing
An Exponential Time 2-Approximation Algorithm for Bandwidth
Parameterized and Exact Computation
Exact and approximate bandwidth
Theoretical Computer Science
Discrete Applied Mathematics
Fast Algorithms for max independent set
Algorithmica
Enumerating maximal independent sets with applications to graph colouring
Operations Research Letters
Hi-index | 5.23 |
We handle in this paper three dominating clique problems, namely, the decision problem to detect whether a graph has a dominating clique and two optimization versions asking to compute a maximum- and a minimum-size dominating clique of a graph G, if G has a dominating clique. For the three problems we propose exact moderately exponential algorithms with worst-case running time upper bounds improving those by Kratsch and Liedloff [D. Kratsch, M. Liedloff, An exact algorithm for the minimum dominating clique problem, Theoret. Comput. Sci. 385 (1-3) (2007) 226-240]. We then study the three problems in sparse and dense graphs also providing improved running time upper bounds. Finally, we propose some exponential time approximation algorithms for the optimization versions.