Twin-width: theory and applications – TWIN-WIDTH
We aim to explore algorithmic and structural questions related to twin-width, a novel graph and matrix invariant, introduced and developed by the team. Twin-width has already led to progress for questions in algorithmic graph theory (such as the complexity of first-order model checking on hereditary classes of binary structures) and combinatorics (for instance, on the growth of hereditary classes of ordered graphs).
Classes with bounded twin-width are rather "orthogonal" to the current organization of graph theory.
They include classes excluding a fixed minor but not bounded-degree graphs, unit interval graphs but not all the interval graphs, as well as some expander classes whereas random cubic graphs almost surely have large twin-width.
The main questions that we will tackle comprise the existence of an approximation algorithm for twin-width, the generalization of the notion to other mathematical objects, fast computations on matrices with bounded twin-width, and revisiting classical problems in combinatorics through the lens of twin-width.
Project coordination
Édouard Bonnet (Laboratoire d'Informatique du Parallélisme)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
LIP Laboratoire d'Informatique du Parallélisme
Help of the ANR 154,255 euros
Beginning and duration of the scientific project:
September 2021
- 48 Months