Journal of Inverse and Ill-posed Problems
Editor-in-Chief: Kabanikhin, Sergey I.
IMPACT FACTOR increased in 2015: 0.987
Rank 59 out of 312 in category Mathematics and 93 out of 254 in Applied Mathematics in the 2015 Thomson Reuters Journal Citation Report/Science Edition
SCImago Journal Rank (SJR) 2015: 0.583
Source Normalized Impact per Paper (SNIP) 2015: 1.106
Impact per Publication (IPP) 2015: 0.712
Mathematical Citation Quotient (MCQ) 2015: 0.43
Relative computational efficiency of iteratively regularized methods
1Institute of System Analysis Russian Academy of Sciences, 117312 Moscow, Russia. Email: (email)
2Dept. of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA. Email: (email)
3Dept. of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA. Email: (email)
Citation Information: Journal of Inverse and Ill-posed Problems. Volume 16, Issue 7, Pages 681–694, ISSN (Online) 1569-3945, ISSN (Print) 0928-0219, DOI: 10.1515/JIIP.2008.041, November 2008
- Published Online:
The estimates for the number of operations needed to implement two different iteratively regularized Gauss–Newton methods as well as the iteratively regularized gradient scheme are given. The operation count is illustrated by simulations for a two dimensional version of the exponentially ill-posed optical tomography inverse problem for the diffusion (D) and absorption (μa) coefficient spatial distributions.