References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Iannazzo, Bruno: The geometric mean of two matrices from a computational viewpoint. (2016)
  2. Jeuris, B.; Vandebril, R.: The Kähler mean of block-Toeplitz matrices with Toeplitz structured blocks (2016)
  3. Minh, Hà Quang; Murino, Vittorio: From covariance matrices to covariance operators: data representation from finite to infinite-dimensional settings (2016)
  4. Sra, Suvrit; Hosseini, Reshad: Geometric optimization in machine learning (2016)
  5. Huang, Wen; Gallivan, K.A.; Absil, P.-A.: A Broyden class of quasi-Newton methods for Riemannian optimization (2015)
  6. Kim, Sejong; Lee, Hosoo: The power mean and the least squares mean of probability measures on the space of positive definite matrices (2015)
  7. Bini, Dario A.; Iannazzo, Bruno; Jeuris, Ben; Vandebril, Raf: Geometric means of structured matrices (2014)
  8. Fritzsche, B.; Kirstein, B.; Roitberg, I.Ya.; Sakhnovich, A.L.: Discrete Dirac system: rectangular Weyl functions, direct and inverse problems (2014)
  9. Bhatia, Rajendra: The Riemannian mean of positive matrices (2013)
  10. Bini, Dario A.; Iannazzo, Bruno: Computing the Karcher mean of symmetric positive definite matrices (2013)
  11. Nielsen, Frank; Liu, Meizhu; Vemuri, Baba C.: Jensen divergence-based means of SPD matrices (2013)
  12. Sagnol, Guillaume: On the semidefinite representation of real functions applied to symmetric matrices (2013)
  13. Jeuris, Ben; Vandebril, Raf; Vandereycken, Bart: A survey and comparison of contemporary algorithms for computing the matrix geometric mean (2012)
  14. Lim, Yongdo: Factorizations and geometric means of positive definite matrices (2012)
  15. Lim, Yongdo; Pálfia, Miklós: Matrix power means and the Karcher mean (2012)
  16. Bini, Dario Andrea; Iannazzo, Bruno: A note on computing matrix geometric means (2011)