TY - JOUR
T1 - Sensitivity analysis for the block Cholesky downdating problem
AU - Farooq, Aamir
AU - Samar, Mahvish
AU - Li, Hanyu
AU - Mu, Chunlai
N1 - Generated from Scopus record by KAUST IRTS on 2023-09-21
PY - 2020/6/2
Y1 - 2020/6/2
N2 - Some improved rigorous perturbation bounds with normwise perturbation for the block Cholesky downdating problem are first derived by combining the modified matrix-vector equation approach with the strategy for Lyapunov majorant function and the Banach fixed point theorem. Then, we investigate four distinct kinds of condition numbers, i.e. two normwise ones, and mixed and componentwise ones, for this problem, and present their explicit expressions. Furthermore, using the probabilistic spectral norm estimator and the small-sample statistical condition estimation method, we also consider the statistical estimation of these condition numbers and design two algorithms. The obtained results are illustrated by numerical examples.
AB - Some improved rigorous perturbation bounds with normwise perturbation for the block Cholesky downdating problem are first derived by combining the modified matrix-vector equation approach with the strategy for Lyapunov majorant function and the Banach fixed point theorem. Then, we investigate four distinct kinds of condition numbers, i.e. two normwise ones, and mixed and componentwise ones, for this problem, and present their explicit expressions. Furthermore, using the probabilistic spectral norm estimator and the small-sample statistical condition estimation method, we also consider the statistical estimation of these condition numbers and design two algorithms. The obtained results are illustrated by numerical examples.
UR - https://www.tandfonline.com/doi/full/10.1080/00207160.2019.1613528
UR - http://www.scopus.com/inward/record.url?scp=85065733895&partnerID=8YFLogxK
U2 - 10.1080/00207160.2019.1613528
DO - 10.1080/00207160.2019.1613528
M3 - Article
SN - 0020-7160
VL - 97
SP - 1234
EP - 1253
JO - International Journal of Computer Mathematics
JF - International Journal of Computer Mathematics
IS - 6
ER -