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Journal of Inverse and Ill-posed Problems

Editor-in-Chief: Kabanikhin, Sergey I.

6 Issues per year


Increased IMPACT FACTOR 2013: 0.593
Rank 143 out of 299 in category Mathematics in the 2013 Thomson Reuters Journal Citation Report/Science Edition

SCImago Journal Rank (SJR): 0.466
Source Normalized Impact per Paper (SNIP): 1.251

Mathematical Citation Quotient 2013: 0.51

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Inverse problems and model validation: an example from latent virus reactivation

H. T. Banks1 / G. M. Kepler2 / H. K. Nguyen3 / J. Webster-Cyriaque4

1Center For Research in Scientific Computation, North Carolina State University, Raleigh, N.C. 27695-8205, USA. Email:

2Center For Research in Scientific Computation, North Carolina State University, Raleigh, N.C. 27695-8205, USA. Email:

3Center for Naval Analyses, Alexandria, VA 22311, USA. Email:

4Department of Dental Ecology, School of Dentistry, University of North Carolina, Chapel Hill, N.C. 27599, USA. Email:

Citation Information: Journal of Inverse and Ill-posed Problems jiip. Volume 15, Issue 3, Pages 225–241, ISSN (Online) 1569-3953, ISSN (Print) 0928-0219, DOI: 10.1515/jiip.2007.012, June 2007

Publication History

Published Online:
2007-06-25

We consider a least squares inverse problem with a model for inducer-mediated reactivation of latent viruses. We illustrate the difficulties associated with the lack of sufficient data (quantity as well as form) in such problems. The modeling and estimation efforts described suggest new experiments as well as needed model extensions.

Key Words: Least squares inverse problems,; nonlinear dynamical models,; reactivation of latent viruses.

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