The classic algorithm of Bodlaender and Kloks [J. Algorithms, 1996] solvesthe following problem in linear fixed-parameter time: given a treedecomposition of a graph of (possibly suboptimal) width k, compute anoptimum-width tree decomposition of the graph. In this work, we prove that thisproblem can also be solved in mso in the following sense: for every positiveinteger k, there is an mso transduction from tree decompositions of width k totree decompositions of optimum width. Together with our recent results [LICS2016], this implies that for every k there exists an mso transduction whichinputs a graph of treewidth k, and nondeterministically outputs its treedecomposition of optimum width. We also show that mso transductions can beimplemented...
We prove, in the universe of trees of bounded height, that for any MSO formula with $m$ variables th...
We study implementation details for dynamic programming over tree decompositions. Firstly, a fact th...
We described a simple algorithm running in linear time for each xed constant k, that either establis...
The classic algorithm of Bodlaender and Kloks solves the following problem in linear fixed-parameter...
A graph G has tree-width at most w if it admits a tree-decomposition of width ≤ w. It is known that ...
In this paper we give, for all constants k, l , explicit algorithms, that given a graph G = (V, E) ...
Abstract. Tree-Decompositions are the corner-stone of many dynamic programming algorithms for solvin...
International audienceThe notion of tree-cut width has been introduced by Wollan in [The structure o...
AbstractBranchwidth and treewidth are connectivity parameters of graphs of high importance in algori...
We prove that, for any fixed k, one can construct a linear time algorithm that checks if a graph ha...
We show that, for any graph optimization problem in which the feasible solutions can be expressed by...
We give experimental and theoretical results on the problem of computing the treewidth of a graph by...
The Minimum Size Tree Decomposition (MSTD) and Minimum Size Path Decomposition (MSPD) problems ask f...
Motivated by the desire to speed up dynamic programming algorithms for graphs of bounded treewidth,...
This thesis concerns tree decompositions. Trees are one of the simplest and most well understood cla...
We prove, in the universe of trees of bounded height, that for any MSO formula with $m$ variables th...
We study implementation details for dynamic programming over tree decompositions. Firstly, a fact th...
We described a simple algorithm running in linear time for each xed constant k, that either establis...
The classic algorithm of Bodlaender and Kloks solves the following problem in linear fixed-parameter...
A graph G has tree-width at most w if it admits a tree-decomposition of width ≤ w. It is known that ...
In this paper we give, for all constants k, l , explicit algorithms, that given a graph G = (V, E) ...
Abstract. Tree-Decompositions are the corner-stone of many dynamic programming algorithms for solvin...
International audienceThe notion of tree-cut width has been introduced by Wollan in [The structure o...
AbstractBranchwidth and treewidth are connectivity parameters of graphs of high importance in algori...
We prove that, for any fixed k, one can construct a linear time algorithm that checks if a graph ha...
We show that, for any graph optimization problem in which the feasible solutions can be expressed by...
We give experimental and theoretical results on the problem of computing the treewidth of a graph by...
The Minimum Size Tree Decomposition (MSTD) and Minimum Size Path Decomposition (MSPD) problems ask f...
Motivated by the desire to speed up dynamic programming algorithms for graphs of bounded treewidth,...
This thesis concerns tree decompositions. Trees are one of the simplest and most well understood cla...
We prove, in the universe of trees of bounded height, that for any MSO formula with $m$ variables th...
We study implementation details for dynamic programming over tree decompositions. Firstly, a fact th...
We described a simple algorithm running in linear time for each xed constant k, that either establis...