Examples of using Minimum dominating in English and their translations into Russian
{-}
-
Official
-
Colloquial
Hence the size of a minimum dominating set for G equals the size of a minimum set cover for U, S.
There are graph families in which a minimum maximal independent set is a minimum dominating set.
A minimum dominating set of an n-vertex graph can be found in time O(2nn) by inspecting all vertex subsets.
There exist a pair of polynomial-time L-reductions between the minimum dominating set problem and the set cover problem.
If the graph has maximum degree Δ,then the greedy approximation algorithm finds an O(log Δ)-approximation of a minimum dominating set.
These include the minimum dominating set, minimum connected dominating set, and minimum total dominating set problems.
Despite this domination perfectness property, it is NP-hard to determine the size of the minimum dominating set in a claw-free graph.
A graph is called domination perfect if it has a minimum dominating set that is independent, and if the same property holds in all of its induced subgraphs.
In particular, an efficient α-approximation algorithm for set covering provides an efficient α-approximation algorithm for minimum dominating sets.
Fomin, Grandoni& Kratsch(2009)show how to find a minimum dominating set in time O(1.5137n) and exponential space, and in time O(1.5264n) and polynomial space.
These include the problems of finding a minimum vertex cover,maximum independent set, minimum dominating set, and maximum cut.
The minimum dominating set in a graph will not necessarily be independent,but the size of a minimum dominating set is always less than or equal to the size of a minimum maximal independent set, that is, γ(G)≤ iG.
For any graph G, its line graph L(G) is claw-free, and hence a minimum maximal independent set in L(G)is also a minimum dominating set in LG.
A similar approach leads to improved exponential-time algorithms for the maximum cut and minimum dominating set problems in cubic graphs, and for several other NP-hard optimization problems.
Besides being a model of certain types of electric networks, these graphs are of interest in computational complexity theory, because a number of standard graph problems are solvable in linear time on SPGs, including finding of the maximum matching,maximum independent set, minimum dominating set and Hamiltonian completion.
Moreover, the reductions preserve the approximation ratio: for any α, a polynomial-time α-approximation algorithm for minimum dominating sets would provide a polynomial-time α-approximation algorithm for the set cover problem and vice versa.
A faster algorithm, using O(1.5048n) time was found by van Rooij, Nederlof& van Dijk(2009),who also show that the number of minimum dominating sets can be computed in this time.
However, in contrast to the situation for more general classes of graphs,finding the minimum dominating set or the minimum connected dominating set in a claw-free graph is fixed-parameter tractable: it can be solved in time bounded by a polynomial in the size of the graph multiplied by an exponential function of the dominating set size.
By repeating this replacement process one eventually reaches a dominating set no larger than D,so in particular when the starting set D is a minimum dominating set this process forms an equally small independent dominating set.
This technique has given PTASs for the following problems: subgraph isomorphism,maximum independent set, minimum vertex cover, minimum dominating set, minimum edge dominating set, maximum triangle matching, and many others.
While some basic problems such as maximum independent set, maximum clique, coloring and clique cover remain NP-complete for dually chordal graphs,some variants of the minimum dominating set problem and Steiner tree are efficiently solvable on dually chordal graphs but Independent Domination remains NP-complete.
An(1+log n)-approximation of a minimum k-tuple dominating set can be found in polynomial time.
Minimum edge dominating set(optimisation version) is the problem GT3 in Appendix B page 370.
Therefore, finding minimum connected dominating sets is equivalent to finding spanning trees with the maximum possible number of leaves.
Furthermore, the size of a minimum edge dominating set equals the size of a minimum maximal matching.
Therefore, the problem of finding a minimum maximal matching is essentially equal to the problem of finding a minimum edge dominating set.
Therefore, it is believed that the minimum connected dominating set problem and the maximum leaf spanning tree problem cannot be solved in polynomial time.
Conversely, if we are given a minimum edge dominating set with k edges, we can construct a maximal matching with k edges in polynomial time.
The domination number of a graph is the minimum cardinality among all dominating sets.
In sectors with a limited number of dominating producers the minimum number of units may be increased to five and more.