Primitivity is hereditary for 2-structures
Theoretical Computer Science
Fully dynamic algorithms for chordal graphs
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
A Fully Dynamic Algorithm for Recognizing and Representing Proper Interval Graphs
SIAM Journal on Computing
Certifying algorithms for recognizing interval graphs and permutation graphs
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Graph decompositions and factorizing permutations
ISTCS '97 Proceedings of the Fifth Israel Symposium on the Theory of Computing Systems (ISTCS '97)
A fully dynamic algorithm for modular decomposition and recognition of cographs
Discrete Applied Mathematics - The 1st cologne-twente workshop on graphs and combinatorial optimization (CTW 2001)
Fully dynamic recognition algorithm and certificate for directed cograph
Discrete Applied Mathematics
An optimal, edges-only fully dynamic algorithm for distance-hereditary graphs
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
Dynamic distance hereditary graphs using split decomposition
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
A fully dynamic algorithm for the recognition of P4-sparse graphs
WG'06 Proceedings of the 32nd international conference on Graph-Theoretic Concepts in Computer Science
Fully dynamic algorithm for recognition and modular decomposition of permutation graphs
WG'05 Proceedings of the 31st international conference on Graph-Theoretic Concepts in Computer Science
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This paper presents an optimal fully-dynamic recognition algorithm for directed cographs. Given the modular decomposition tree of a directed cograph G, the algorithm supports arc and vertex modification (insertion or deletion) in $\mathcal{O}(d)$ time where d is the number of arcs involved in the operation. Moreover, if the modified graph remains a directed cograph, the modular tree decomposition is updated; otherwise, a certificate is returned within the same complexity.