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» On the Vulnerability of Large Graphs
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CGF
2010
169views more  CGF 2010»
13 years 9 months ago
Image-Based Edge Bundles: Simplified Visualization of Large Graphs
We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified ...
Alexandru Telea, Ozan Ersoy
ATMOS
2010
150views Optimization» more  ATMOS 2010»
13 years 8 months ago
Dynamic Graph Generation and Dynamic Rolling Horizon Techniques in Large Scale Train Timetabling
The aim of the train timetabling problem is to find a conflict free timetable for a set of passenger and freight trains along their routes in an infrastructure network. Several ...
Frank Fischer, Christoph Helmberg
ACSC
2005
IEEE
14 years 3 months ago
Large k-Separated Matchings of Random Regular Graphs
A k-separated matching in a graph is a set of edges at distance at least k from one another (hence, for instance, a 1-separated matching is just a matching in the classical sense)...
Mihalis Beis, William Duckworth, Michele Zito
WINE
2010
Springer
177views Economy» more  WINE 2010»
13 years 7 months ago
Braess's Paradox in Large Sparse Graphs
Braess's paradox, in its original context, is the counter-intuitive observation that, without lessening demand, closing roads can improve traffic flow. With the explosion of d...
Fan Chung, Stephen J. Young
SIGECOM
2006
ACM
143views ECommerce» more  SIGECOM 2006»
14 years 3 months ago
Braess's paradox in large random graphs
Braess’s Paradox is the counterintuitive but well-known fact that removing edges from a network with “selfish routing” can decrease the latency incurred by traffic in an eq...
Gregory Valiant, Tim Roughgarden