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» Nonlinear Stochastic Optimization by the Monte-Carlo Method
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COMPUTING
2006
130views more  COMPUTING 2006»
13 years 7 months ago
Dynamic Data Driven Simulations in Stochastic Environments
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
JSAC
2010
92views more  JSAC 2010»
13 years 5 months ago
Analysis of Nonlinear Transition Shift and Write Precompensation in Perpendicular Recording Systems
Abstract—In high density perpendicular magnetic recording channels, nonlinear transition shift (NLTS) is one of the distortions that can degrade the system performance. Write pre...
Zheng Wu, Paul H. Siegel, Jack K. Wolf, H. Neal Be...
SIAMNUM
2010
105views more  SIAMNUM 2010»
13 years 2 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami
INFORMATICALT
2007
92views more  INFORMATICALT 2007»
13 years 7 months ago
An Optimization of System for Automatic Recognition of Ischemic Stroke Areas in Computed Tomography Images
Abstract. The paper considers application of stochastic optimization to system of automatic recognition of ischemic stroke area on computed tomography (CT) images. The algorithm of...
Darius Grigaitis, Vaida Bartkute, Leonidas Sakalau...
IEAAIE
1998
Springer
13 years 11 months ago
State Estimation for Nonlinear Systems Using Restricted Genetic Optimization
Abstract. In this paper we describe a new nonlinear estimator for filtering systems with nonlinear process and observation models, based on the optimization with RGO (Restricted Ge...
Santiago Garrido, Luis Moreno, Carlos Balaguer