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NEUROSCIENCE
2001
Springer
14 years 1 months ago
Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
Joanna Bryson, Lynn Andrea Stein
LSSC
2001
Springer
14 years 1 months ago
Parallel Implementation of a Large-Scale 3-D Air Pollution Model
Abstract. Air pollution models can efficiently be used in different environmental studies. The atmosphere is the most dynamic component of the environment, where the pollutants ca...
Tzvetan Ostromsky, Zahari Zlatev
LSSC
2001
Springer
14 years 1 months ago
Numerical Simulation of a Model for Transport and Reaction of Radionuclides
In the last years the interest in computer simulations of radioactive waste scenarios has increased. In this article we present numerical simulations with the software package TRAP...
Jürgen Geiser
LSSC
2001
Springer
14 years 1 months ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel
LSSC
2001
Springer
14 years 1 months ago
An Improved Monte Carlo Algorithm for Elastic Electron Backscattering from Surfaces
The problen of the backscattering of electrons from metal targets is subject of extensive theoreticel and experimental work in surface analysis. We are interested in the angular di...
Ivan Dimov, Emanouil I. Atanassov, Mariya K. Durch...
LSSC
2001
Springer
14 years 1 months ago
Global Computing Systems
Cécile Germain, Gilles Fedak, Vincent N&eac...
LSSC
2001
Springer
14 years 1 months ago
Solving Systems of Linear Algebraic Equations Using Quasirandom Numbers
In this paper we analyze a quasi-Monte Carlo method for solving systems of linear algebraic equations. It is well known that the convergence of Monte Carlo methods for numerical in...
Aneta Karaivanova, Rayna Georgieva
LSSC
2001
Springer
14 years 1 months ago
A Quasi-Monte Carlo Method for Integration with Improved Convergence
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska