Finding maximum independent sets in sparse and general graphs
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
A deterministic (2 - 2/(k+ 1))n algorithm for k-SAT based on local search
Theoretical Computer Science
Exact algorithms for NP-hard problems: a survey
Combinatorial optimization - Eureka, you shrink!
Improved upper bounds for 3-SAT
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Quasiconvex analysis of backtracking algorithms
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Measure and conquer: a simple O(20.288n) independent set algorithm
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
A new algorithm for optimal 2-constraint satisfaction and its implications
Theoretical Computer Science - Automata, languages and programming: Algorithms and complexity (ICALP-A 2004)
Inclusion--Exclusion Algorithms for Counting Set Partitions
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
An O*(2^n ) Algorithm for Graph Coloring and Other Partitioning Problems via Inclusion--Exclusion
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
An improved exact algorithm for the domatic number problem
Information Processing Letters
Exact Algorithms for Exact Satisfiability and Number of Perfect Matchings
Algorithmica - Parameterized and Exact Algorithms
Measure and conquer: domination – a case study
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Bounding the number of minimal dominating sets: a measure and conquer approach
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
An exact 2.9416n algorithm for the three domatic number problem
MFCS'05 Proceedings of the 30th international conference on Mathematical Foundations of Computer Science
Exact (exponential) algorithms for the dominating set problem
WG'04 Proceedings of the 30th international conference on Graph-Theoretic Concepts in Computer Science
A measure & conquer approach for the analysis of exact algorithms
Journal of the ACM (JACM)
TAMC '09 Proceedings of the 6th Annual Conference on Theory and Applications of Models of Computation
On Partitioning a Graph into Two Connected Subgraphs
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
Covering and packing in linear space
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming
Feedback vertex sets in tournaments
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
Colorings with few colors: counting, enumeration and combinatorial bounds
WG'10 Proceedings of the 36th international conference on Graph-theoretic concepts in computer science
Exact algorithms for dominating set
Discrete Applied Mathematics
Enumeration of minimal dominating sets and variants
FCT'11 Proceedings of the 18th international conference on Fundamentals of computation theory
Covering and packing in linear space
Information Processing Letters
On partitioning a graph into two connected subgraphs
Theoretical Computer Science
Polynomial space algorithms for counting dominating sets and the domatic number
CIAC'10 Proceedings of the 7th international conference on Algorithms and Complexity
Minimal dominating sets in graph classes: combinatorial bounds and enumeration
SOFSEM'12 Proceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science
Feedback Vertex Sets in Tournaments
Journal of Graph Theory
An exact algorithm for subset feedback vertex set on chordal graphs
IPEC'12 Proceedings of the 7th international conference on Parameterized and Exact Computation
Trees having many minimal dominating sets
Information Processing Letters
Computing the differential of a graph: Hardness, approximability and exact algorithms
Discrete Applied Mathematics
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We provide an algorithm listing all minimal dominating sets of a graph on n vertices in time O(1.7159n). This result can be seen as an algorithmic proof of the fact that the number of minimal dominating sets in a graph on n vertices is at most 1.7159n, thus improving on the trivial O(2n/&sqrt;n) bound. Our result makes use of the measure-and-conquer technique which was recently developed in the area of exact algorithms. Based on this result, we derive an O(2.8718n) algorithm for the domatic number problem.