- Journal Home
- Volume 43 - 2025
- Volume 42 - 2024
- Volume 41 - 2023
- Volume 40 - 2022
- Volume 39 - 2021
- Volume 38 - 2020
- Volume 37 - 2019
- Volume 36 - 2018
- Volume 35 - 2017
- Volume 34 - 2016
- Volume 33 - 2015
- Volume 32 - 2014
- Volume 31 - 2013
- Volume 30 - 2012
- Volume 29 - 2011
- Volume 28 - 2010
- Volume 27 - 2009
- Volume 26 - 2008
- Volume 25 - 2007
- Volume 24 - 2006
- Volume 23 - 2005
- Volume 22 - 2004
- Volume 21 - 2003
- Volume 20 - 2002
- Volume 19 - 2001
- Volume 18 - 2000
- Volume 17 - 1999
- Volume 16 - 1998
- Volume 15 - 1997
- Volume 14 - 1996
- Volume 13 - 1995
- Volume 12 - 1994
- Volume 11 - 1993
- Volume 10 - 1992
- Volume 9 - 1991
- Volume 8 - 1990
- Volume 7 - 1989
- Volume 6 - 1988
- Volume 5 - 1987
- Volume 4 - 1986
- Volume 3 - 1985
- Volume 2 - 1984
- Volume 1 - 1983
Modified Discrepancy Principles with Perturbed Operators and Noisy Data
Cited by
Export citation
- BibTex
- RIS
- TXT
@Article{JCM-14-108,
author = {H. Chen and Z. Y. Hou},
title = {Modified Discrepancy Principles with Perturbed Operators and Noisy Data},
journal = {Journal of Computational Mathematics},
year = {1996},
volume = {14},
number = {2},
pages = {108--119},
abstract = {
We investigate a class of a posterior parameter choice for iterated Tikhonov regularization with perturbed operators and noisy data by using modified Arcangeli's method. The rate of convergence of regularization approximation is achieved.
}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/9223.html} }
TY - JOUR
T1 - Modified Discrepancy Principles with Perturbed Operators and Noisy Data
AU - H. Chen & Z. Y. Hou
JO - Journal of Computational Mathematics
VL - 2
SP - 108
EP - 119
PY - 1996
DA - 1996/04
SN - 14
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jcm/9223.html
KW -
AB -
We investigate a class of a posterior parameter choice for iterated Tikhonov regularization with perturbed operators and noisy data by using modified Arcangeli's method. The rate of convergence of regularization approximation is achieved.
H. Chen and Z. Y. Hou. (1996). Modified Discrepancy Principles with Perturbed Operators and Noisy Data.
Journal of Computational Mathematics. 14 (2).
108-119.
doi:
Copy to clipboard