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A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assimilation
This paper proposes a line-search optimization method for non-linear data assimilation via random descent directions. The iterative method works as follows: at each iteration, quadratic approximations of the Three-Dimensional-Variational (3D-Var) cost function are built about current solutions. Thes...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302575/ http://dx.doi.org/10.1007/978-3-030-50426-7_15 |