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APPROX
2007
Springer
102views Algorithms» more  APPROX 2007»
14 years 5 months ago
Hardness of Embedding Metric Spaces of Equal Size
Abstract. We study the problem embedding an n-point metric space into another n-point metric space while minimizing distortion. We show that there is no polynomial time algorithm t...
Subhash Khot, Rishi Saket
APPROX
2007
Springer
99views Algorithms» more  APPROX 2007»
14 years 5 months ago
Small Approximate Pareto Sets for Bi-objective Shortest Paths and Other Problems
We investigate the problem of computing a minimum set of solutions that approximates within a specified accuracy the Pareto curve of a multiobjective optimization problem. We show...
Ilias Diakonikolas, Mihalis Yannakakis
APPROX
2007
Springer
112views Algorithms» more  APPROX 2007»
14 years 5 months ago
Encouraging Cooperation in Sharing Supermodular Costs
Abstract Consider a situation where a group of agents wishes to share the costs of their joint actions, and needs to determine how to distribute the costs amongst themselves in a f...
Andreas S. Schulz, Nelson A. Uhan
APPROX
2007
Springer
67views Algorithms» more  APPROX 2007»
14 years 5 months ago
Maximum Gradient Embeddings and Monotone Clustering
abstract Manor Mendel1 and Assaf Naor2 1 The Open University of Israel 2 Courant Institute Let (X, dX ) be an n-point metric space. We show that there exists a distribution D over ...
Manor Mendel, Assaf Naor
APPROX
2007
Springer
99views Algorithms» more  APPROX 2007»
14 years 5 months ago
On Estimating Frequency Moments of Data Streams
Sumit Ganguly, Graham Cormode
APPROX
2007
Springer
100views Algorithms» more  APPROX 2007»
14 years 5 months ago
Implementing Huge Sparse Random Graphs
Consider a scenario where one desires to simulate the execution of some graph algorithm on random input graphs of huge, perhaps even exponential size. Sampling and storing these h...
Moni Naor, Asaf Nussboim
APPROX
2007
Springer
77views Algorithms» more  APPROX 2007»
14 years 5 months ago
High Entropy Random Selection Protocols
We study the two party problem of randomly selecting a string among all the strings of length n. We want the protocol to have the property that the output distribution has high en...
Harry Buhrman, Matthias Christandl, Michal Kouck&y...
APPROX
2007
Springer
88views Algorithms» more  APPROX 2007»
14 years 5 months ago
Derandomization of Euclidean Random Walks
We consider the problem of derandomizing random walks in the Euclidean space Rk . We show that for k = 2, and in some cases in higher dimensions, such walks can be simulated in Lo...
Ilia Binder, Mark Braverman