Let XNLP be the class of parameterized prob-lems such that an instance of size n with parameter k can be solved nondeterministically in time f (k) nO(1) and space f (k) log(n) (for some computable function f). We give a wide variety of XNLP-complete problems, such as List Coloringand Precoloring Extensionwith pathwidth as parameter, Scheduling Of Jobs With Precedence Constraints, with both number of machines and partial order width as parameter, Bandwidthand variants of Weighted Cnf-satisfiability and reconfiguration problems. In particular, this implies that all these problems are W[t]-hard for all t. This also answers a long standing question on the parameterized complexity of the Bandwidth problem
We show that all the problems solvable by a nondeterministic machine with logarithmic work space (NL...
A fixed-parameter-tractable algorithm, or FPT algorithm for short, gets an instance (I, k) as its in...
We study the performance of DPLL algorithms on parameterized prob-lems. In particular, we investigat...
Let XNLP be the class of parameterized prob-lems such that an instance of size n with parameter k ca...
Let XNLP be the class of parameterized problems such that an instance of size $n$ with parameter $k$...
In this short survey, a number of old and new notions from parameterized complexity are discussed. W...
In this paper, we introduce a new class of parameterized problems, which we call XALP: the class of ...
In this paper, we introduce a new class of parameterized problems, which we call XALP: the class of ...
In this paper, we showcase the class XNLP as a natural place for many hard problems parameterized by...
In this paper, we showcase the class XNLP as a natural place for many hard problems parameterized by...
AbstractBandwidth restrictions are considered on several NP-complete problems, including the followi...
AbstractMotivated by recent results showing that there are natural parameterized problems that are f...
The parameterized complexity of a problem is generally considered “settled ” once it has been shown ...
AbstractBased on the framework of parameterized complexity theory, we derive tight lower bounds on t...
This thesis is presented in two parts. In Part I we concentrate on algorithmic aspects of parameteri...
We show that all the problems solvable by a nondeterministic machine with logarithmic work space (NL...
A fixed-parameter-tractable algorithm, or FPT algorithm for short, gets an instance (I, k) as its in...
We study the performance of DPLL algorithms on parameterized prob-lems. In particular, we investigat...
Let XNLP be the class of parameterized prob-lems such that an instance of size n with parameter k ca...
Let XNLP be the class of parameterized problems such that an instance of size $n$ with parameter $k$...
In this short survey, a number of old and new notions from parameterized complexity are discussed. W...
In this paper, we introduce a new class of parameterized problems, which we call XALP: the class of ...
In this paper, we introduce a new class of parameterized problems, which we call XALP: the class of ...
In this paper, we showcase the class XNLP as a natural place for many hard problems parameterized by...
In this paper, we showcase the class XNLP as a natural place for many hard problems parameterized by...
AbstractBandwidth restrictions are considered on several NP-complete problems, including the followi...
AbstractMotivated by recent results showing that there are natural parameterized problems that are f...
The parameterized complexity of a problem is generally considered “settled ” once it has been shown ...
AbstractBased on the framework of parameterized complexity theory, we derive tight lower bounds on t...
This thesis is presented in two parts. In Part I we concentrate on algorithmic aspects of parameteri...
We show that all the problems solvable by a nondeterministic machine with logarithmic work space (NL...
A fixed-parameter-tractable algorithm, or FPT algorithm for short, gets an instance (I, k) as its in...
We study the performance of DPLL algorithms on parameterized prob-lems. In particular, we investigat...