A derivative-free trust region framework for variational data assimilation

Author:

Nino Ruiz Elias D.,Sandu Adrian

Funder

NSF

AFOSR

Computational Science Laboratory at Virginia Tech

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference35 articles.

1. Chemical data assimilation—an overview;Sandu;Atmosphere,2011

2. A hybrid approach to estimating error covariances in variational data assimilation;Cheng;Tellus A,2010

3. A subspace approach to data assimilation and new opportunities for hybridization;Sandu;Int. J. Uncertain. Quantif.,2013

4. A dual-weighted trust-region adaptive POD 4D-Var applied to a finite-element shallow-water equations model;Chen;Internat. J. Numer. Methods Fluids,2011

5. Reduced-order modeling: new approaches for computational physics;David;Prog. Aerosp. Sci.,2004

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