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ICCS
2004
Springer
14 years 22 days ago
Improved Sampling for Biological Molecules Using Shadow Hybrid Monte Carlo
Shadow Hybrid Monte Carlo (SHMC) is a new method for sampling the phase space of large biological molecules. It improves sampling by allowing larger time steps and system sizes in ...
Scott S. Hampton, Jesús A. Izaguirre
ICASSP
2011
IEEE
12 years 11 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
VRIPHYS
2010
13 years 2 months ago
Asynchronous Preconditioners for Efficient Solving of Non-linear Deformations
In this paper, we present a set of methods to improve numerical solvers, as used in real-time non-linear deformable models based on implicit integration schemes. The proposed appr...
Hadrien Courtecuisse, Jérémie Allard...
MCS
2011
Springer
13 years 2 months ago
Solving macroeconomic models with "off-the-shelf" software: An example of potential pitfalls
: When working with large-scale models or numerous small models, there can be a temptation to rely on default settings in proprietary software to derive solutions to the model. In ...
Ric D. Herbert, Peter J. Stemp
TAPIA
2005
ACM
14 years 28 days ago
On a global optimization technique for solving a nonlinear hyperboloid least squares problem
We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This prob...
Leticia Velázquez, Miguel Argáez, Br...