Convergence analysis of an algorithm for accurate inverse Cholesky factorization | Zendy

Yuka Yanagisawa | Zendy; Takeshi Ogita | Zendy; Shin’ichi Oishi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Convergence analysis of an algorithm for accurate inverse Cholesky factorization

Author(s) -

Yuka Yanagisawa,

Takeshi Ogita,

Shin’ichi Oishi

Publication year - 2014

Publication title -

japan journal of industrial and applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.356

H-Index - 28

eISSN - 1868-937X

pISSN - 0916-7005

DOI - 10.1007/s13160-014-0154-4

Subject(s) - cholesky decomposition , incomplete cholesky factorization , minimum degree algorithm , mathematics , factorization , convergence (economics) , inverse , algorithm , positive definite matrix , matrix (chemical analysis) , condition number , incomplete lu factorization , round off error , dixon's factorization method , matrix decomposition , mathematical analysis , factorization of polynomials , eigenvalues and eigenvectors , physics , geometry , materials science , quantum mechanics , economics , composite material , economic growth , matrix polynomial , polynomial

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research