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» Dynamic Spatial Approximation Trees for Massive Data
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ICCS
2007
Springer
14 years 2 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
VLDB
2000
ACM
136views Database» more  VLDB 2000»
13 years 11 months ago
Managing Intervals Efficiently in Object-Relational Databases
Modern database applications show a growing demand for efficient and dynamic management of intervals, particularly for temporal and spatial data or for constraint handling. Common...
Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
RECOMB
2005
Springer
14 years 8 months ago
Lower Bounds for Maximum Parsimony with Gene Order Data
Abstract. In this paper, we study lower bound techniques for branchand-bound algorithms for maximum parsimony, with a focus on gene order data. We give a simple O(n3 ) time dynamic...
Abraham Bachrach, Kevin Chen, Chris Harrelson, Rad...
ANOR
2010
130views more  ANOR 2010»
13 years 5 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
SIGMOD
2006
ACM
149views Database» more  SIGMOD 2006»
14 years 8 months ago
Efficient query processing on unstructured tetrahedral meshes
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
Stratos Papadomanolakis, Anastassia Ailamaki, Juli...