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MCS
2008
Springer
15 years 1 months ago
A wildland fire model with data assimilation
A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled p...
Jan Mandel, Lynn S. Bennethum, Jonathan D. Beezley...
JCNS
2010
104views more  JCNS 2010»
15 years 8 days ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
137
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ICST
2010
IEEE
14 years 11 months ago
Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...

Lecture Notes
4961views
16 years 11 months ago
The Relational Data Model, Normalisation and effective Database Design
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
Tony Marston
SIAMSC
2008
131views more  SIAMSC 2008»
15 years 1 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner