In this paper we consider a simple variant of the Online Dial-a-Ride Problem from a probabilistic point of view. To this end, we look at a probabilistic version of this online Dial-a-Ride problem and introduce a probabilistic notion of the competitive ratio which states that an algorithm performs well on the vast majority of the instances. Our main result is that under the assumption of high load a certain online algorithm is probabilistically (1+o(1))-competitive if the underlying graph is a tree. This result can be extended to general graphs by using well-known approximation techniques at the expense of a distortion factor O (log|V|)
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
[[abstract]]This paper considers a family of randomized on-line algorithms. Algorithm R(m), where 1 ...
Online optimization, in contrast to classical optimization, deals with optimization problems whose i...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
In this paper, we study online algorithms when the input is not chosen adversarially, but consists o...
In this paper, we study online algorithms when the input is not chosen adversarially, but consists o...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
In this paper, we study online algorithms when the in-put is not chosen adversarially, but consists ...
We study several problems in probabilistic and extremal combinatorics. Probabilistic combinatorics i...
AbstractRecently, Charikar et al. investigated the problem of evaluating AND/OR trees, with non-unif...
We consider the on-line problem of call admission and routing on trees and meshes. Previous work con...
This paper is devoted to the online dominating set problem and its variants. We believe the paper re...
This paper proposes a new method for probabilistic analysis of online algorithms that is based on th...
ALESSIO PRESCIUTTI † , AND ADI ROSÉN ‡ Abstract. We consider the problem of on-line call admission a...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
[[abstract]]This paper considers a family of randomized on-line algorithms. Algorithm R(m), where 1 ...
Online optimization, in contrast to classical optimization, deals with optimization problems whose i...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
In this paper, we study online algorithms when the input is not chosen adversarially, but consists o...
In this paper, we study online algorithms when the input is not chosen adversarially, but consists o...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
In this paper, we study online algorithms when the in-put is not chosen adversarially, but consists ...
We study several problems in probabilistic and extremal combinatorics. Probabilistic combinatorics i...
AbstractRecently, Charikar et al. investigated the problem of evaluating AND/OR trees, with non-unif...
We consider the on-line problem of call admission and routing on trees and meshes. Previous work con...
This paper is devoted to the online dominating set problem and its variants. We believe the paper re...
This paper proposes a new method for probabilistic analysis of online algorithms that is based on th...
ALESSIO PRESCIUTTI † , AND ADI ROSÉN ‡ Abstract. We consider the problem of on-line call admission a...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
[[abstract]]This paper considers a family of randomized on-line algorithms. Algorithm R(m), where 1 ...
Online optimization, in contrast to classical optimization, deals with optimization problems whose i...