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Journal of Inverse and Ill-posed Problems

Editor-in-Chief: Kabanikhin, Sergey I.

6 Issues per year


IMPACT FACTOR 2016: 0.783
5-year IMPACT FACTOR: 0.792

CiteScore 2016: 0.80

SCImago Journal Rank (SJR) 2016: 0.589
Source Normalized Impact per Paper (SNIP) 2016: 1.125

Mathematical Citation Quotient (MCQ) 2015: 0.43

Online
ISSN
1569-3945
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Volume 15, Issue 3 (Jun 2007)

Issues

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

H. T. Banks
  • Center For Research in Scientific Computation, North Carolina State University, Raleigh, N.C. 27695-8205, USA. Email:
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ G. M. Kepler
  • Center For Research in Scientific Computation, North Carolina State University, Raleigh, N.C. 27695-8205, USA. Email:
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ H. K. Nguyen / J. Webster-Cyriaque
  • Department of Dental Ecology, School of Dentistry, University of North Carolina, Chapel Hill, N.C. 27599, USA. Email:
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2007-06-25 | DOI: https://doi.org/10.1515/jiip.2007.012

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.

About the article

Published Online: 2007-06-25

Published in Print: 2007-06-19


Citation Information: Journal of Inverse and Ill-posed Problems jiip, ISSN (Online) 1569-3953, ISSN (Print) 0928-0219, DOI: https://doi.org/10.1515/jiip.2007.012.

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[1]
G.M. Kepler, H.T. Banks, M. Davidian, and E.S. Rosenberg
Mathematical and Computer Modelling, 2009, Volume 49, Number 7-8, Page 1653

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