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» A Second Order Adjoint Method to Targeted Observations
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ICCS
2009
Springer
13 years 11 months ago
A Second Order Adjoint Method to Targeted Observations
The role of the second order adjoint in targeting strategies is studied and analyzed. Most targeting strategies use the first order adjoint to identify regions where additional in...
Humberto C. Godinez, Dacian N. Daescu
ICCSA
2009
Springer
13 years 11 months ago
YAO: A Software for Variational Data Assimilation Using Numerical Models
Variational data assimilation consists in estimating control parameters of a numerical model in order to minimize the misfit between the forecast values and some actual observatio...
Luigi Nardi, Charles Sorror, Fouad Badran, Sylvie ...
VLSISP
2002
72views more  VLSISP 2002»
13 years 4 months ago
Second Order Nonstationary Source Separation
This paper addresses a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed co...
Seungjin Choi, Andrzej Cichocki, Adel Belouchrani
NIPS
2004
13 years 5 months ago
A Second Order Cone programming Formulation for Classifying Missing Data
We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distributio...
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswam...
PPSN
2004
Springer
13 years 9 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke