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HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance
  Matrices and Likelihoods with Applications in Parameter Identification
v1v2v3 (latest)

HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance Matrices and Likelihoods with Applications in Parameter Identification

24 September 2017
A. Litvinenko
ArXiv (abs)PDFHTML

Papers citing "HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance Matrices and Likelihoods with Applications in Parameter Identification"

2 / 2 papers shown
Identification of unknown parameters and prediction with hierarchical
  matrices
Identification of unknown parameters and prediction with hierarchical matrices
A. Litvinenko
Ronald Kriemann
V. Berikov
151
0
0
14 Apr 2021
Semi-Supervised Regression using Cluster Ensemble and Low-Rank
  Co-Association Matrix Decomposition under Uncertainties
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties
V. Berikov
A. Litvinenko
157
7
0
13 Jan 2019
1
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