We survey some recent graph algorithms that are based on picking a vertex at random and declaring it to be a part of the solution. This simple idea has been deployed to obtain state-of-the-art parameterized, exact exponential time, and approximation algorithms for a number of problems, such as Feedback Vertex Set and 3-Hitting Set. We will also discuss a recent 2-approximation algorithm for Feedback Vertex Set in Tournaments that is based on picking a vertex at random and declaring it to not be part of the solution
AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degr...
Randomization has become a pervasive technique in combinatorial op-timization. We survey our thesis ...
In the Subset Feedback Vertex Set (Subset FVS) problem, the input is a graph G on n vertices and m e...
A high number of discrete optimization problems, including Vertex Cover, Set Cover or Feedback Verte...
In the Feedback Vertex Set problem, one is given an undirected graph G and an integer k, and one nee...
In the Feedback Vertex Set (FVS) problem, one is given an undirected graph G and an integer k, and o...
AbstractWe present improved parameterized algorithms for the feedback vertex set problem on both unw...
In the Feedback Vertex Set problem, one is given an undirected graph $G$ and an integer $k$, and one...
Randomness is a crucial component in the design and analysis of many efficient algorithms. This thes...
The theory of random graphs has been mainly concerned with structural properties, in particular the ...
The online matching problem was introduced by Karp, Vazirani and Vazirani nearly three decades ago. ...
Abstract It is often of interest to sample vertices from a graph with a bias towards higher-degree v...
Printed on archival quality paper. Random graph processes are most often used to investigate theoret...
Abstract. Most NP- Complete problems have linear solutions when restricted to random graphs [2]. Ran...
National audienceGenerating random graphs which verify a set of predefined properties is a major iss...
AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degr...
Randomization has become a pervasive technique in combinatorial op-timization. We survey our thesis ...
In the Subset Feedback Vertex Set (Subset FVS) problem, the input is a graph G on n vertices and m e...
A high number of discrete optimization problems, including Vertex Cover, Set Cover or Feedback Verte...
In the Feedback Vertex Set problem, one is given an undirected graph G and an integer k, and one nee...
In the Feedback Vertex Set (FVS) problem, one is given an undirected graph G and an integer k, and o...
AbstractWe present improved parameterized algorithms for the feedback vertex set problem on both unw...
In the Feedback Vertex Set problem, one is given an undirected graph $G$ and an integer $k$, and one...
Randomness is a crucial component in the design and analysis of many efficient algorithms. This thes...
The theory of random graphs has been mainly concerned with structural properties, in particular the ...
The online matching problem was introduced by Karp, Vazirani and Vazirani nearly three decades ago. ...
Abstract It is often of interest to sample vertices from a graph with a bias towards higher-degree v...
Printed on archival quality paper. Random graph processes are most often used to investigate theoret...
Abstract. Most NP- Complete problems have linear solutions when restricted to random graphs [2]. Ran...
National audienceGenerating random graphs which verify a set of predefined properties is a major iss...
AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degr...
Randomization has become a pervasive technique in combinatorial op-timization. We survey our thesis ...
In the Subset Feedback Vertex Set (Subset FVS) problem, the input is a graph G on n vertices and m e...