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Inverse problems and model validation: an example from latent virus reactivation
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Published/Copyright:
June 25, 2007
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.
Published Online: 2007-06-25
Published in Print: 2007-06-19
Copyright 2007, Walter de Gruyter
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- Inverse problems and model validation: an example from latent virus reactivation
- Sensitivity analysis and parameter estimation for a model of Chlamydia Trachomatis infection
- Fast fully iterative Newton-type methods for inverse problems
- Use of extrapolation in regularization methods
- Regularization by dynamic programming
- Convergence analysis of an inexact iteratively regularized Gauss-Newton method under general source conditions
Keywords for this article
Least squares inverse problems,;
nonlinear dynamical models,;
reactivation of latent viruses.
Articles in the same Issue
- Inverse problems and model validation: an example from latent virus reactivation
- Sensitivity analysis and parameter estimation for a model of Chlamydia Trachomatis infection
- Fast fully iterative Newton-type methods for inverse problems
- Use of extrapolation in regularization methods
- Regularization by dynamic programming
- Convergence analysis of an inexact iteratively regularized Gauss-Newton method under general source conditions
