A nonlinear preconditioner for optimum experimental design problems
We show how to efficiently compute A-optimal experimental designs, which are formulated in terms of the minimization of the trace of the covariance matrix of the underlying regression process, using quasi-Newton sequential quadratic programming methods. In particular, we introduce a modification of...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Elsevier
2015
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/5227be4f681c41179ccb2281a60abe78 |
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