The well-known bidimensionality theory provides a method for designing fast, subexponential-time parameterized algorithms for a vast number of NP-hard problems on sparse graph classes such as planar graphs, bounded genus graphs, or, more generally, graphs with a fixed excluded minor. However, in order to apply the bidimensionality framework the considered problem needs to fulfill a special density property. Some well-known problems do not have this property, unfortunately, with probably the most prominent and important example being the Steiner Tree problem. Hence the question whether a subexponential-time parameterized algorithm for Steiner Tree on planar graphs exists has remained open. In this paper, we answer this question positively an...
We introduce a new framework for designing fixed-parameter algorithms with subexponential running ti...
In the Steiner Tree problem, we are given as input a connected \(n\)-vertex graph with edge weights ...
We show that for a number of parameterized problems for which only 2^{O(k)} n^{O(1)} time algorithm...
The well-known bidimensionality theory provides a method for designing fast, subexponential-time par...
In the k-path problem we are given an n-vertex graph g together with an integer k and asked whether ...
We give the first polynomial-time approximation scheme (PTAS) for the Steiner forest problem on plan...
In this thesis we focus on subexponential algorithms for NP-hard graph problems: exact and parameter...
In this thesis we focus on subexponential algorithms for NP-hard graph problems: exact and parameter...
In this paper we make the first step beyond bidimensionality by obtaining subexponential time algori...
The bidimensionality theory [2] provides a general framework to obtain subexponential parameterized ...
The Steiner Tree problem is one of the most fundamental NP-complete problems as it models many netwo...
The Steiner Tree problem is one of the most fundamental NP-complete problems as it models many netwo...
In this paper we consider the probable performance of three polynomial time approximation algorithm...
| openaire: EC/H2020/338077/EU//TAPEASE | openaire: EC/H2020/306992/EU//PARAPPROXIn the Steiner Tree...
We propose polynomial-time algorithms that sparsify planar and bounded-genus graphs while preserving...
We introduce a new framework for designing fixed-parameter algorithms with subexponential running ti...
In the Steiner Tree problem, we are given as input a connected \(n\)-vertex graph with edge weights ...
We show that for a number of parameterized problems for which only 2^{O(k)} n^{O(1)} time algorithm...
The well-known bidimensionality theory provides a method for designing fast, subexponential-time par...
In the k-path problem we are given an n-vertex graph g together with an integer k and asked whether ...
We give the first polynomial-time approximation scheme (PTAS) for the Steiner forest problem on plan...
In this thesis we focus on subexponential algorithms for NP-hard graph problems: exact and parameter...
In this thesis we focus on subexponential algorithms for NP-hard graph problems: exact and parameter...
In this paper we make the first step beyond bidimensionality by obtaining subexponential time algori...
The bidimensionality theory [2] provides a general framework to obtain subexponential parameterized ...
The Steiner Tree problem is one of the most fundamental NP-complete problems as it models many netwo...
The Steiner Tree problem is one of the most fundamental NP-complete problems as it models many netwo...
In this paper we consider the probable performance of three polynomial time approximation algorithm...
| openaire: EC/H2020/338077/EU//TAPEASE | openaire: EC/H2020/306992/EU//PARAPPROXIn the Steiner Tree...
We propose polynomial-time algorithms that sparsify planar and bounded-genus graphs while preserving...
We introduce a new framework for designing fixed-parameter algorithms with subexponential running ti...
In the Steiner Tree problem, we are given as input a connected \(n\)-vertex graph with edge weights ...
We show that for a number of parameterized problems for which only 2^{O(k)} n^{O(1)} time algorithm...