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» Algorithmic randomness of continuous functions
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CCE
2004
13 years 10 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
DFG
1992
Springer
14 years 3 months ago
Complexity of Boolean Functions on PRAMs - Lower Bound Techniques
Determining time necessary for computing important functions on parallel machines is one of the most important problems in complexity theory for parallel algorithms. Recently, a s...
Miroslaw Kutylowski
IPMI
1999
Springer
14 years 11 months ago
Continuous Time Dynamic PET Imaging Using List Mode Data
Abstract. We describe a method for computing a continuous time estimate of dynamic changes in tracer density using list mode PET data. The tracer density in each voxel is modeled a...
Thomas E. Nichols, Jinyi Qi, Richard M. Leahy
TOG
2008
149views more  TOG 2008»
13 years 10 months ago
Randomized cuts for 3D mesh analysis
The goal of this paper is to investigate a new shape analysis method based on randomized cuts of 3D surface meshes. The general strategy is to generate a random set of mesh segmen...
Aleksey Golovinskiy, Thomas A. Funkhouser
TIT
2008
103views more  TIT 2008»
13 years 10 months ago
Fast Distributed Algorithms for Computing Separable Functions
The problem of computing functions of values at the nodes in a network in a fully distributed manner, where nodes do not have unique identities and make decisions based only on loc...
Damon Mosk-Aoyama, Devavrat Shah