Christophe Crespelle
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Christophe Crespelle has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Daniel Lokshtanov
Department of Informatics University of Bergen Norway
2 shared publications - Eric Thierry
ENS Lyon
2 shared publications - Thi Ha Duong Phan
Vietnam Academy of Science and Technology
2 shared publications - Fedor V. Fomin
Department of Informatics, University of Bergen
1 shared publication - Jean Blair
United States Military Academy, West Point, NY
1 shared publication - Petr A. Golovach
Department of Informatics, University of Bergen
1 shared publication
Latest Publications
- Open Access
- 1 October 2021
- Published by Elsevier in Theoretical Computer Science
- Vol. 888, 1-12
On the effectiveness of the incremental approach to minimal chordal edge modification
- 1 October 2021
- Published by Elsevier in Theoretical Computer Science
- Vol. 888, 1-12
Open AccessOn the effectiveness of the incremental approach to minimal chordal edge modification
- 7 September 2020
- Published by Elsevier in Discrete Applied Mathematics
- Vol. 288, 138-151
Faster and enhanced inclusion-minimal cograph completion
- 7 September 2020
- Published by Elsevier in Discrete Applied Mathematics
- Vol. 288, 138-151
Faster and enhanced inclusion-minimal cograph completion
- Open Access
A survey of parameterized algorithms and the complexity of edge modification
The survey provides an overview of the developing area of parameterized algorithms for graph modification problems. We concentrate on edge modification problems, where the task is to change a small number of adjacencies in a graph in order to satisfy some required property.
Open AccessA survey of parameterized algorithms and the complexity of edge modification
The survey provides an overview of the developing area of parameterized algorithms for graph modification problems. We concentrate on edge modification problems, where the task is to change a small number of adjacencies in a graph in order to satisfy some required property.
- Open Access
Faster and Enhanced Inclusion-Minimal Cograph Completion
We design two incremental algorithms for computing an inclusion-minimal completion of an arbitrary graph into a cograph. The first one is able to do so while providing an additional property which is crucial in practice to obtain inclusion-minimal completions using as few edges as possible : it is able to compute a minimum-cardinality completion of the neighbourhood of the new vertex introduced at each incremental step. It runs in $O(n+m')$ time, where $m'$ is the number of edges in the completed graph. This matches the complexity of the algorithm in [Lokshtanov, Mancini and Papadopoulos 2010] and positively answers one of their open questions. Our second algorithm improves the complexity of inclusion-minimal completion to $O(n+m\log^2 n)$ when the additional property above is not required. Moreover, we prove that many very sparse graphs, having only $O(n)$ edges, require $\Omega(n^2)$ edges in any of their cograph completions. For these graphs, which include many of those encountered in applications, the improvement we obtain on the complexity scales as $O(n/\log^2 n)$.Open AccessFaster and Enhanced Inclusion-Minimal Cograph Completion
We design two incremental algorithms for computing an inclusion-minimal completion of an arbitrary graph into a cograph. The first one is able to do so while providing an additional property which is crucial in practice to obtain inclusion-minimal completions using as few edges as possible : it is able to compute a minimum-cardinality completion of the neighbourhood of the new vertex introduced at each incremental step. It runs in $O(n+m')$ time, where $m'$ is the number of edges in the completed graph. This matches the complexity of the algorithm in [Lokshtanov, Mancini and Papadopoulos 2010] and positively answers one of their open questions. Our second algorithm improves the complexity of inclusion-minimal completion to $O(n+m\log^2 n)$ when the additional property above is not required. Moreover, we prove that many very sparse graphs, having only $O(n)$ edges, require $\Omega(n^2)$ edges in any of their cograph completions. For these graphs, which include many of those encountered in applications, the improvement we obtain on the complexity scales as $O(n/\log^2 n)$.