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BMCBI
2007
115views more  BMCBI 2007»
14 years 10 months ago
Correlation between structure and temperature in prokaryotic metabolic networks
Background: In recent years, an extensive characterization of network structures has been made in an effort to elucidate design principles of metabolic networks, providing valuabl...
Kazuhiro Takemoto, Jose C. Nacher, Tatsuya Akutsu
MST
2010
98views more  MST 2010»
14 years 9 months ago
Why Almost All k-Colorable Graphs Are Easy to Color
Coloring a k-colorable graph using k colors (k ≥ 3) is a notoriously hard problem. Considering average case analysis allows for better results. In this work we consider the unif...
Amin Coja-Oghlan, Michael Krivelevich, Dan Vilench...
ECCC
2011
183views ECommerce» more  ECCC 2011»
14 years 5 months ago
Extractors and Lower Bounds for Locally Samplable Sources
We consider the problem of extracting randomness from sources that are efficiently samplable, in the sense that each output bit of the sampler only depends on some small number d ...
Anindya De, Thomas Watson
81
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APPROX
2008
Springer
83views Algorithms» more  APPROX 2008»
15 years 15 days ago
Sampling Hypersurfaces through Diffusion
Abstract. We are interested in efficient algorithms for generating random samples from geometric objects such as Riemannian manifolds. As a step in this direction, we consider the ...
Hariharan Narayanan, Partha Niyogi
SPAA
2009
ACM
15 years 7 months ago
A randomized, o(log w)-depth 2 smoothing network
A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous p...
Marios Mavronicolas, Thomas Sauerwald