Add to ORKGA error was found in the proof written in this paper. The claimed results are therefore inexact
We introduce a new technique called oblivious rounding-a variant of randomized rounding that avoids ...
The paper presents distributed and parallel -approximation algorithms for covering problems, where ...
Over the past few years many proofs of the existence of calibration have been discovered. Each of th...
A error was found in the proof written in this paper. The claimed results are therefore inexact
A high number of discrete optimization problems, including Vertex Cover, Set Cover or Feedback Verte...
Introduction We have already seen some uses of randomization in the design of on-line algorithms. I...
Although stochastic programming problems were always believed to be computationally challenging, thi...
In modern computer science, many problems are solved with the help of probabilistic algorithms. This...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
Some results of the K-means algorithm with a randomly generated instance where n = 2 ⋅ 106, k = 200,...
Although stochastic programming problems were always believed to be computationally chal-lenging, th...
We discovered an error in the proof of the main theorem of A Randomness-Efficient Sampler for Matrix...
We consider optimization problems for which the best known approximation algorithms are randomized a...
We view the classical Lindeberg principle in a Markov process setting to establish a probability app...
Abstract. By using Hahn-Banach theorem, a characterization of random approximations is obtained
We introduce a new technique called oblivious rounding-a variant of randomized rounding that avoids ...
The paper presents distributed and parallel -approximation algorithms for covering problems, where ...
Over the past few years many proofs of the existence of calibration have been discovered. Each of th...
A error was found in the proof written in this paper. The claimed results are therefore inexact
A high number of discrete optimization problems, including Vertex Cover, Set Cover or Feedback Verte...
Introduction We have already seen some uses of randomization in the design of on-line algorithms. I...
Although stochastic programming problems were always believed to be computationally challenging, thi...
In modern computer science, many problems are solved with the help of probabilistic algorithms. This...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
Some results of the K-means algorithm with a randomly generated instance where n = 2 ⋅ 106, k = 200,...
Although stochastic programming problems were always believed to be computationally chal-lenging, th...
We discovered an error in the proof of the main theorem of A Randomness-Efficient Sampler for Matrix...
We consider optimization problems for which the best known approximation algorithms are randomized a...
We view the classical Lindeberg principle in a Markov process setting to establish a probability app...
Abstract. By using Hahn-Banach theorem, a characterization of random approximations is obtained
We introduce a new technique called oblivious rounding-a variant of randomized rounding that avoids ...
The paper presents distributed and parallel -approximation algorithms for covering problems, where ...
Over the past few years many proofs of the existence of calibration have been discovered. Each of th...