AbstractWe use a new approximation measure, the differential approximation ratio, to derive polynomial-time approximation algorithms for minimum set covering (for both weighted and unweighted cases), minimum graph coloring and bin-packing. We also propose differential-approximation-ratio preserving reductions linking minimum coloring, minimum vertex covering by cliques, minimum edge covering by cliques and minimum edge covering of a bipartite graph by complete bipartite graphs
The notion of approximability preserving reductions between different problems deserves special atte...
We survey approximation algorithms for some well-known and very natural combinatorial optimization p...
We provide the first interesting explicit lower bounds on efficient approximability for two closely ...
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 first motivate and define a notion of asymptotic differential approximation ratio. For this, we i...
The purpose of this paper is mainly to prove the following theorem: for every polynomial time algori...
We study the differential approximability of several optimization satisfiability problems. We prove ...
AbstractThe purpose of this paper is mainly to prove the following theorem: for every polynomial tim...
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...
We present in this paper differential approximation results for MIN SET COVER and MIN WEIGHTED SET C...
In order to define a polynomial approximation theory linked to combinatorial optimization closer tha...
Simple, polynomial-time, heuristic algorithms for finding approximate solutions to various polynomia...
AbstractIn order to define a polynomial approximation theory linked to combinatorial optimization cl...
The notion of approximability preserving reductions between different problems deserves special atte...
We survey approximation algorithms for some well-known and very natural combinatorial optimization p...
We provide the first interesting explicit lower bounds on efficient approximability for two closely ...
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 first motivate and define a notion of asymptotic differential approximation ratio. For this, we i...
The purpose of this paper is mainly to prove the following theorem: for every polynomial time algori...
We study the differential approximability of several optimization satisfiability problems. We prove ...
AbstractThe purpose of this paper is mainly to prove the following theorem: for every polynomial tim...
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...
We present in this paper differential approximation results for MIN SET COVER and MIN WEIGHTED SET C...
In order to define a polynomial approximation theory linked to combinatorial optimization closer tha...
Simple, polynomial-time, heuristic algorithms for finding approximate solutions to various polynomia...
AbstractIn order to define a polynomial approximation theory linked to combinatorial optimization cl...
The notion of approximability preserving reductions between different problems deserves special atte...
We survey approximation algorithms for some well-known and very natural combinatorial optimization p...
We provide the first interesting explicit lower bounds on efficient approximability for two closely ...