Add to ORKGAbstract. Combining classical approximability questions with parameterized complexity, we intro-duce a theory of parameterized approximability. The main intention of this theory is to deal with the efficient approximation of small cost solutions for optimisation problems. Key words. Fixed-parameter tractability, approximation algorithms, hardness of approximation.
We study the theory and techniques developed in the research of parameterized intractability, emphas...
In computability and in complexity theory reductions are widely used for mapping sets into sets in o...
One can try to parametrize the set of the instances of an optimization prob-lem and look for in poly...
Abstract. Combining classical approximability questions with parameterized complexity, we introduce ...
Parameterized complexity is fast becoming accepted as an important strand in the mainstream of algor...
In this talk we discuss briefly classes of fixed-parameter tractability as well as approximation alg...
Many of the computational problems that arise in practice are optimization problems: the task is to ...
AbstractFixed-parameter tractability of NP optimization problems is studied by relating it to approx...
The talk will give a few examples of moving approximation concerns into the definition of reparamete...
A fixed-parameter is an algorithm that provides an optimal solution to a combinatorial problem. This...
Asking which sets are fixed-parameter tractable for a given parameterization constitutes much of the...
Maximization problems are usually considered as parameterized problems taking as parameter the entit...
In this note we discuss some drawbacks of some approaches to the classification of NP-complete optim...
Abstract. We introduce a new approach for establishing fixed-parameter tractability of problems para...
La théorie de la NP-complétude nous apprend que pour un certain nombre de problèmes d'optimisatio...
We study the theory and techniques developed in the research of parameterized intractability, emphas...
In computability and in complexity theory reductions are widely used for mapping sets into sets in o...
One can try to parametrize the set of the instances of an optimization prob-lem and look for in poly...
Abstract. Combining classical approximability questions with parameterized complexity, we introduce ...
Parameterized complexity is fast becoming accepted as an important strand in the mainstream of algor...
In this talk we discuss briefly classes of fixed-parameter tractability as well as approximation alg...
Many of the computational problems that arise in practice are optimization problems: the task is to ...
AbstractFixed-parameter tractability of NP optimization problems is studied by relating it to approx...
The talk will give a few examples of moving approximation concerns into the definition of reparamete...
A fixed-parameter is an algorithm that provides an optimal solution to a combinatorial problem. This...
Asking which sets are fixed-parameter tractable for a given parameterization constitutes much of the...
Maximization problems are usually considered as parameterized problems taking as parameter the entit...
In this note we discuss some drawbacks of some approaches to the classification of NP-complete optim...
Abstract. We introduce a new approach for establishing fixed-parameter tractability of problems para...
La théorie de la NP-complétude nous apprend que pour un certain nombre de problèmes d'optimisatio...
We study the theory and techniques developed in the research of parameterized intractability, emphas...
In computability and in complexity theory reductions are widely used for mapping sets into sets in o...
One can try to parametrize the set of the instances of an optimization prob-lem and look for in poly...