Handle-rewriting hypergraph grammars
Journal of Computer and System Sciences
k-NLC graphs and polynomial algorithms
Discrete Applied Mathematics - Special issue: efficient algorithms and partial k-trees
Polynomial Time Recognition of Clique-Width \le \leq 3 Graphs (Extended Abstract)
LATIN '00 Proceedings of the 4th Latin American Symposium on Theoretical Informatics
Clique-width minimization is NP-hard
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
On the relationship between NLC-width and linear NLC-width
Theoretical Computer Science
Approximating clique-width and branch-width
Journal of Combinatorial Theory Series B
The relative clique-width of a graph
Journal of Combinatorial Theory Series B
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
NLC-2 graph recognition and isomorphism
WG'07 Proceedings of the 33rd international conference on Graph-theoretic concepts in computer science
Graphs of linear clique-width at most 3
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
Minimizing nLC-width is nP-complete
WG'05 Proceedings of the 31st international conference on Graph-Theoretic Concepts in Computer Science
CSR'11 Proceedings of the 6th international conference on Computer science: theory and applications
Exploiting restricted linear structure to cope with the hardness of clique-width
TAMC'10 Proceedings of the 7th annual conference on Theory and Applications of Models of Computation
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Cliquewidth and NLC-width are two closely related parameters that measure the complexity of graphs. Both clique- and NLC-width are defined to be the minimum number of labels required to create a labelled graph by certain terms of operations. Many hard problems on graphs become solvable in polynomial-time if the inputs are restricted to graphs of bounded clique- or NLC-width. Cliquewidth and NLC-width differ at most by a factor of two. The relative counterparts of these parameters are defined to be the minimum number of labels necessary to create a graph while the tree-structure of the term is fixed. We show that Relative Cliquewidth and Relative NLC-width differ significantly in computational complexity. While the former problem is NP-complete the latter is solvable in polynomial time. The relative NLC-width can be computed in O(n^3) time, which also yields an exact algorithm for computing the NLC-width in time O(3^nn). Additionally, our technique enables a combinatorial characterisation of NLC-width that avoids the usual operations on labelled graphs.