Journal of Inverse and Ill-posed Problems
Editor-in-Chief: Kabanikhin, Sergey I.
6 Issues per year
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
Inverse problem in optical tomography and its numerical investigation by iteratively regularized methods
- Institute of System Analysis, Russian Academy of Sciencies, 117312, Moscow, Russia. E-mail: email@example.com
- Dept of Mathematical Sciencies, Clemson University, SC 29634, Clemson, USA. E-mail: firstname.lastname@example.org
- Dept of Mathematics and Statistics, Georgia State University, GA 30303, Atlanta, USA. E-mail: email@example.com
It is well known that the diffusion based inverse problem in optical tomography is exponentially ill-posed or unstable, see [2, 18]. In our paper we propose new iteratively regularized numerical methods for the above inverse problem. For the 1D case we compare those methods to MATLAB Levenberg—Marquardt trust region nonlinear least square routine LSQNONLIN both in terms of accuracy and efficiency.
Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.