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Iterative refinement for singular value decomposition based on matrix multiplication

  • Published:2020-05 Issue: Volume:369 Page:112512
  • ISSN:0377-0427
  • Container-title:Journal of Computational and Applied Mathematics
  • language:en
  • Short-container-title:Journal of Computational and Applied Mathematics

Author:

Ogita TakeshiORCID,Aishima KensukeORCID

Funder

Ministry of Education, Culture, Sports, Science and Technology

Japan Science and Technology Agency

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference16 articles.

1. Some properties of SVD and their application to digital signal processing;Biglieri;Signal Process.,1989

2. Local spectral variability features for speaker verification;Sahidullah;Digit. Signal Process.,2016

3. Singular value decomposition for genome-wide expression data processing and modeling;Alter;Proc. Natl. Acad. Sci. USA,2000

4. Singular value decomposition and principal component analysis;Wall,2003

5. Matrix Computations;Golub,2013

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1. Acceleration of iterative refinement for singular value decomposition;Numerical Algorithms;2023-07-19

2. A mixed precision LOBPCG algorithm;Numerical Algorithms;2023-05-11

3. Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices1;2022 IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH);2022-11

4. Mixed precision algorithms in numerical linear algebra;Acta Numerica;2022-05

5. Optimizing a vector of shrinkage factors for continuum regression;Chemometrics and Intelligent Laboratory Systems;2020-11
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