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ICML
2000
IEEE
14 years 8 months ago
Rates of Convergence for Variable Resolution Schemes in Optimal Control
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
Andrew W. Moore, Rémi Munos
ICTAI
2008
IEEE
14 years 2 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
BILDMED
2009
167views Algorithms» more  BILDMED 2009»
13 years 8 months ago
Landmark-Based 3D Elastic Registration of Pre- and Postoperative Liver CT Data
The qualitative and quantitative comparison of pre- and postoperative image data is an important possibility to validate computer assisted surgical procedures. Due to deformations ...
Thomas Lange, Stefan Wörz, Karl Rohr, Peter-M...
ISSAC
2007
Springer
130views Mathematics» more  ISSAC 2007»
14 years 1 months ago
On probabilistic analysis of randomization in hybrid symbolic-numeric algorithms
Algebraic randomization techniques can be applied to hybrid symbolic-numeric algorithms. Here we consider the problem of interpolating a sparse rational function from noisy values...
Erich Kaltofen, Zhengfeng Yang, Lihong Zhi
SIAMSC
2011
148views more  SIAMSC 2011»
13 years 2 months ago
Bootstrap AMG
We develop an algebraic multigrid (AMG) setup scheme based on the bootstrap framework for multiscale scientific computation. Our approach uses a weighted least squares definition...
Achi Brandt, James J. Brannick, K. Kahl, Irene Liv...