Journal of Inverse and Ill-posed Problems
Editor-in-Chief: Kabanikhin, Sergey I.
6 Issues per year
IMPACT FACTOR 2017: 0.941
5-year IMPACT FACTOR: 0.953
CiteScore 2017: 0.91
SCImago Journal Rank (SJR) 2017: 0.461
Source Normalized Impact per Paper (SNIP) 2017: 1.022
Mathematical Citation Quotient (MCQ) 2016: 0.38
Estimation of discontinuous solutions of ill-posed problems via adaptive grid regularization
In this paper we treat a new regularization method which is well-suited for ill-posed problems with discontinuous solutions: adaptive grid regularization. After describing the method we present several numerical examples showing that this method is a powerful tool to identify discontinuities in ill-posed problems.
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.