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MCS
2008
Springer
13 years 7 months ago
Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations
A stochastic numerical scheme for an extended immersed boundary method which incorporates thermal fluctuations for the simulation of microscopic biological systems consisting of fl...
Paul J. Atzberger, Peter R. Kramer
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
HYBRID
1999
Springer
13 years 11 months ago
An Overview of Hybrid Simulation Phenomena and Their Support by Simulation Packages
Continuous system dynamics can be described by, possibly large, systems of di erential equations. These can be either ordinary di erential equations (ODEs) or contain algebraic con...
Pieter J. Mosterman
WSC
2008
13 years 9 months ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang
ANSS
1998
IEEE
13 years 11 months ago
An Adaptive Synchronization Protocol for Parallel Discrete Event Simulation
Simulation, especially discrete event simulation (DES), is used in a variety of disciplines where numerical methods are difficult or impossible to apply. One problem with this met...
Keith R. Bisset