The notion of approximability preserving reductions between different problems deserves special attention in approximability theory. These kinds of reductions allow us polynomial time conversion of some already known 'good' approximation algorithms for some NP-hard problems into ones for some other NP-hard problems. In this context, we consider reductions for set covering and vertex covering hierarchies. Our results are then extended to hitting set and independent set hierarchies. Here, we adopt the differential approximation ratio that has the natural property to be stable under affine transformations of the objective function of a problem.ou
We present in this paper differential approximation results for min set cover and min weighted set c...
We present in this paper differential approximation results for MIN SET COVER and MIN WEIGHTED SET C...
Using ideas and results from polynomial time approximation and exact computation we design approxima...
AbstractSome open questions concerning the complexity of approximation algorithms for the Maximum In...
We conceive some approximability preserving (continuous) reductions among a number of combinatorial...
An approximation result is given, connecting two well known combinatorial problems, the Set Cover an...
We use a new approximation measure, the differential approximation ratio, to derive polynomial-time ...
AbstractWe use a new approximation measure, the differential approximation ratio, to derive polynomi...
We survey approximation algorithms for some well-known and very natural combinatorial optimization p...
AbstractIn order to define a polynomial approximation theory linked to combinatorial optimization cl...
We study the differential approximability of several optimization satisfiability problems. We prove ...
In computability and in complexity theory reductions are widely used for mapping sets into sets in o...
In order to define a polynomial approximation theory linked to combinatorial optimization closer tha...
AbstractUsing ideas and results from polynomial time approximation and exact computation we design a...
This paper proposes a way to bring together two seemingly “foreign” domains that are the polynomial ...
We present in this paper differential approximation results for min set cover and min weighted set c...
We present in this paper differential approximation results for MIN SET COVER and MIN WEIGHTED SET C...
Using ideas and results from polynomial time approximation and exact computation we design approxima...
AbstractSome open questions concerning the complexity of approximation algorithms for the Maximum In...
We conceive some approximability preserving (continuous) reductions among a number of combinatorial...
An approximation result is given, connecting two well known combinatorial problems, the Set Cover an...
We use a new approximation measure, the differential approximation ratio, to derive polynomial-time ...
AbstractWe use a new approximation measure, the differential approximation ratio, to derive polynomi...
We survey approximation algorithms for some well-known and very natural combinatorial optimization p...
AbstractIn order to define a polynomial approximation theory linked to combinatorial optimization cl...
We study the differential approximability of several optimization satisfiability problems. We prove ...
In computability and in complexity theory reductions are widely used for mapping sets into sets in o...
In order to define a polynomial approximation theory linked to combinatorial optimization closer tha...
AbstractUsing ideas and results from polynomial time approximation and exact computation we design a...
This paper proposes a way to bring together two seemingly “foreign” domains that are the polynomial ...
We present in this paper differential approximation results for min set cover and min weighted set c...
We present in this paper differential approximation results for MIN SET COVER and MIN WEIGHTED SET C...
Using ideas and results from polynomial time approximation and exact computation we design approxima...