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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Bibliographic Details
Main Authors: Mario S. Mommer, Andreas Sommer, Johannes P. Schlöder, H. Georg Bock
Format: Article
Language:English
Published: Elsevier 2015-05-01
Series:EURO Journal on Computational Optimization
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2192440621000423