Sciweavers

APPROX
2005
Springer
103views Algorithms» more  APPROX 2005»
14 years 5 months ago
Where's the Winner? Max-Finding and Sorting with Metric Costs
Traditionally, a fundamental assumption in evaluating the performance of algorithms for sorting and selection has been that comparing any two elements costs one unit (of time, work...
Anupam Gupta, Amit Kumar
APPROX
2005
Springer
104views Algorithms» more  APPROX 2005»
14 years 5 months ago
On the Error Parameter of Dispersers
Optimal dispersers have better dependence on the error than optimal extractors. In this paper we give explicit disperser constructions that beat the best possible extractors in so...
Ronen Gradwohl, Guy Kindler, Omer Reingold, Amnon ...
APPROX
2005
Springer
96views Algorithms» more  APPROX 2005»
14 years 5 months ago
Derandomized Squaring of Graphs
We introduce a “derandomized” analogue of graph squaring. This operation increases the connectivity of the graph (as measured by the second eigenvalue) almost as well as squar...
Eyal Rozenman, Salil P. Vadhan
APPROX
2005
Springer
131views Algorithms» more  APPROX 2005»
14 years 5 months ago
Approximation Schemes for Node-Weighted Geometric Steiner Tree Problems
Abstract. In this paper we introduce a new technique for approximation schemes for geometrical optimization problems. As an example problem, we consider the following variant of th...
Jan Remy, Angelika Steger
APPROX
2005
Springer
106views Algorithms» more  APPROX 2005»
14 years 5 months ago
Approximating the Bandwidth of Caterpillars
A caterpillar is a tree in which all vertices of degree three or more lie on one path, called the backbone. We present a polynomial time algorithm that produces a linear arrangeme...
Uriel Feige, Kunal Talwar
APPROX
2005
Springer
122views Algorithms» more  APPROX 2005»
14 years 5 months ago
Finding a Maximum Independent Set in a Sparse Random Graph
We consider the problem of finding a maximum independent set in a random graph. The random graph G, which contains n vertices, is modelled as follows. Every edge is included inde...
Uriel Feige, Eran Ofek
APPROX
2005
Springer
95views Algorithms» more  APPROX 2005»
14 years 5 months ago
Approximation Algorithms for Requirement Cut on Graphs
Viswanath Nagarajan, R. Ravi
APPROX
2005
Springer
150views Algorithms» more  APPROX 2005»
14 years 5 months ago
A Primal-Dual Approximation Algorithm for Partial Vertex Cover: Making Educated Guesses
We study the partial vertex cover problem. Given a graph G = (V, E), a weight function w : V → R+ , and an integer s, our goal is to cover all but s edges, by picking a set of v...
Julián Mestre
APPROX
2005
Springer
114views Algorithms» more  APPROX 2005»
14 years 5 months ago
Finding Graph Matchings in Data Streams
Andrew McGregor
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 5 months ago
A Lower Bound on List Size for List Decoding
A q-ary error-correcting code C ⊆ {1, 2, . . . , q}n is said to be list decodable to radius ρ with list size L if every Hamming ball of radius ρ contains at most L codewords o...
Venkatesan Guruswami, Salil P. Vadhan