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» Dynamic simulation for time series modeling
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NIPS
2008
13 years 10 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ICPP
2009
IEEE
14 years 3 months ago
Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors
—Lattice Boltzmann Methods (LBM) are used for the computational simulation of Newtonian fluid dynamics. LBM-based simulations are readily parallelizable; they have been implemen...
Peter Bailey, Joe Myre, Stuart D. C. Walsh, David ...
IPPS
1999
IEEE
14 years 1 months ago
Large Scale Simulation of Particulate Flows
Simulations of particles in fluid flows are of great interest to numerous industries using sedimentation, fluidization, lubricated transport, and hydraulic fracturing of hydrocarb...
Ahmed H. Sameh, Vivek Sarin
CN
2002
195views more  CN 2002»
13 years 8 months ago
A simulation study of the OSPF-OMP routing algorithm
Open shortest path first (OSPF) is the most widely used internal gateway routing protocol on the Internet. However, one shortcoming is that it does not take advantage of the exist...
G. Michael Schneider, Tamás Németh
GEOS
2007
Springer
14 years 3 months ago
Modeling Spatio-temporal Network Computations: A Summary of Results
Spatio-temporal network is defined by a set of nodes, and a set of edges, where the properties of nodes and edges may vary over time. Such networks are encountered in a variety of...
Betsy George, Shashi Shekhar