Regularization techniques for ill-posed inverse problems in data assimilation

Author:

Budd C.J.,Freitag M.A.,Nichols N.K.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference11 articles.

1. Regularization of inverse problems;Engl,1996

2. Matrix computations;Golub,1996

3. Freitag MA, Nichols NK, Budd CJ. Resolution of sharp fronts in the presence of model error in variational data assimilation. University of Bath, Bath Institute for Complex Systems; 2010. Preprint 1/10 (2010) (see http://www.bath.ac.uk/math-sci/bics/papers/#preprints).

4. Efficient minimization methods of mixed l2–l1 and l1–l1 norms for image restoration;Fu;SIAM J Sci Comput,2006

5. Haben SA, Lawless AS, Nichols NK. Conditioning and preconditioning of the variational data assimilation problem. University of Reading, Dept. of Mathematics; 2010. Preprint MPS_2010_16 (see http://www.reading.ac.uk/maths-and-stats/research/maths-preprints.aspx).

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