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• W2042895566 abstract "The method of Tikhonov regularization is commonly used to obtain regularized solutions of ill-posed linear inverse problems. We use its natural connection to optimal Bayes estimators to determine optimal experimental designs that can be used with Tikhonov regularization; they are designed to control a measure of total relative efficiency. We present an iterative/semidefinite programming hybrid method to explore the configuration space efficiently. Two examples from geophysics are used to illustrate the type of applications to which the methodology can be applied." @default.
• W2042895566 created "2016-06-24" @default.
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• W2042895566 date "2013-10-01" @default.
• W2042895566 modified "2023-10-14" @default.
• W2042895566 title "Experimental design in the context of Tikhonov regularized inverse problems" @default.
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• W2042895566 doi "https://doi.org/10.1177/1471082x13494613" @default.
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