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Zero Variance Penalty Model for the Generation of Covariance Matrices in Integral Data Assimilation Problems
- Source :
- ResearcherID, Scopus-Elsevier
-
Abstract
- This paper presents simple models developed to generate covariances between observable and latent variables. The methodology consists of using “variance penalty” terms as a measure of the contribut...
- Subjects :
- 010302 applied physics
Mathematical optimization
Zero (complex analysis)
Measure (physics)
Observable
02 engineering and technology
Latent variable
Variance (accounting)
Covariance
021001 nanoscience & nanotechnology
01 natural sciences
Data assimilation
Nuclear Energy and Engineering
Simple (abstract algebra)
0103 physical sciences
0210 nano-technology
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- ResearcherID, Scopus-Elsevier
- Accession number :
- edsair.doi.dedup.....c381b83c6278b05cece7b70097df6985