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» Matching Algorithms Are Fast in Sparse Random Graphs
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JGAA
2007
135views more  JGAA 2007»
13 years 7 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
FOCS
2008
IEEE
14 years 2 months ago
Constant-Time Approximation Algorithms via Local Improvements
We present a technique for transforming classical approximation algorithms into constant-time algorithms that approximate the size of the optimal solution. Our technique is applic...
Huy N. Nguyen, Krzysztof Onak
ICALP
2010
Springer
13 years 10 months ago
Sparse Reliable Graph Backbones
Given a connected graph G and a failure probability pe for each edge e in G, the reliability of G is the probability that G remains connected when each edge e is removed independe...
Shiri Chechik, Yuval Emek, Boaz Patt-Shamir, David...
DCOSS
2010
Springer
13 years 11 months ago
Fast Decentralized Averaging via Multi-scale Gossip
Abstract. We are interested in the problem of computing the average consensus in a distributed fashion on random geometric graphs. We describe a new algorithm called Multi-scale Go...
Konstantinos I. Tsianos, Michael G. Rabbat
ICCAD
2008
IEEE
150views Hardware» more  ICCAD 2008»
14 years 4 months ago
Performance estimation and slack matching for pipelined asynchronous architectures with choice
— This paper presents a fast analytical method for estimating the throughput of pipelined asynchronous systems, and then applies that method to develop a fast solution to the pro...
Gennette Gill, Vishal Gupta, Montek Singh