References in zbMATH (referenced in 45 articles )

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  1. Maass, Alejandro I.; Manzie, Chris; Nešić, Dragan; Manton, Jonathan H.; Shames, Iman: Tracking and regret bounds for online zeroth-order Euclidean and Riemannian optimization (2022)
  2. Bini, Dario A.; Iannazzo, Bruno; Meng, Jie: Algorithms for approximating means of semi-infinite quasi-Toeplitz matrices (2021)
  3. Ghiglioni, Eduardo; Lim, Yongdo; Pálfia, Miklós: The Karcher mean of linearly independent triples (2021)
  4. Lawson, Jimmie; Lim, Yongdo: Analyticity of the Karcher mean coefficient maps (2021)
  5. Sitenko, Dmitrij; Boll, Bastian; Schnörr, Christoph: Assignment flow for order-constrained OCT segmentation (2021)
  6. Tupker, Quinten; Said, Salem; Mostajeran, Cyrus: Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces (2021)
  7. Choi, Hayoung; Ghiglioni, Eduardo; Lim, Yongdo: The Karcher mean of three variables and quadric surfaces (2020)
  8. Ferreira, Orizon P.; Louzeiro, Maurício S.; Prudente, Leandro F.: First order methods for optimization on Riemannian manifolds (2020)
  9. Ghiglioni, Eduardo M.: New deterministic approaches to the least square mean (2020)
  10. Minh, Hà Quang: Infinite-dimensional log-determinant divergences between positive definite Hilbert-Schmidt operators (2020)
  11. Mostajeran, Cyrus; Grussler, Christian; Sepulchre, Rodolphe: Geometric matrix midranges (2020)
  12. Yuan, Xinru; Huang, Wen; Absil, P.-A.; Gallivan, Kyle A.: Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method. (2020)
  13. Yuan, Xinru; Huang, Wen; Absil, Pierre-Antoine; Gallivan, Kyle A.: Averaging symmetric positive-definite matrices (2020)
  14. de Carvalho Bento, Glaydston; Bitar, Sandro Dimy Barbosa; da Cruz Neto, João Xavier; Oliveira, Paulo Roberto; de Oliveira Souza, João Carlos: Computing Riemannian center of mass on Hadamard manifolds (2019)
  15. Ferreira, O. P.; Louzeiro, Mauricio Silva; Prudente, L. F.: Gradient method for optimization on Riemannian manifolds with lower bounded curvature (2019)
  16. Iannazzo, Bruno; Jeuris, Ben; Pompili, Filippo: The derivative of the matrix geometric mean with an application to the nonnegative decomposition of tensor grids (2019)
  17. Minh, Hà Quang: Alpha-beta log-determinant divergences between positive definite trace class operators (2019)
  18. Fasi, Massimiliano; Iannazzo, Bruno: Computing the weighted geometric mean of two large-scale matrices and its inverse times a vector (2018)
  19. Massart, Estelle M.; Hendrickx, Julien M.; Absil, P.-A.: Matrix geometric means based on shuffled inductive sequences (2018)
  20. Nobari, Elham; Ahmadi Kakavandi, Bijan: A geometric mean for Toeplitz and Toeplitz-block block-Toeplitz matrices (2018)

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