On Relative Accuracy of the One-Sided Block-Jacobi SVD Algorithm
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30442-2_35
Reference9 articles.
1. Bečka, M., Okša, G., Vajteršic, M.: New dynamic orderings for the parallel one-sided block-Jacobi SVD algorithm. Parallel Proc. Lett. Ser. 25, 1–19 (2015). https://doi.org/10.1142/S0129626415500036
2. Bečka, M., Okša, G., Vidličková, E.: New preconditioning for the one-sided block-Jacobi SVD algorithm. In: Wyrzykowski, R., et al. PPAM17, Springer Nature. LNCS, vol. 10777, pp. 590–599. Springer, Cham (2018). https://doi.org/10.1007/978-3-310-78024-5_51
3. Bečka, M., Okša, G.: Preconditioned Jacobi SVD algorithm outperforms PDGESVD. In: Wyrzykowski, R., et al. (Eds.) PPAM19, Springer Nature. LNCS, vol. 12043, pp. 555–566. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43229-4_47
4. Davies, P.I., Higham, N.J.: Numerically stable generation of correlation matrices and their factors. BIT Numer. Math. Ser. 40, 640–651 (2000). https://doi.org/10.1023/A:1022384216930
5. Dongarra, J., et al.: The singular value decomposition: anatomy of optimizing an algorithm for extreme scale. SIAM Rev. Ser. 60, 808–865 (2018). https://doi.org/10.1137/17M1117732
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