A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems

Lecture notes in computational science and engineering, pp. 489–497

Authors 4

1. Nicole Aretz-Nellesen Aachen International Research Training Group Modern Inverse Problems

   RWTH Aachen University

   Affiliation as printed

   International Research Training Group Modern Inverse Problems, RWTH Aachen University, Aachen, Germany

   RWTH Aachen University

2. Peng Chen

   The University of Texas at Austin

   Affiliation as printed

   Oden Institute of Computational Engineering Science, UT Austin, Austin, TX, USA

   University of Texas at Austin

3. Martin Grepl corresponding Aachen Numerical Mathematics

   RWTH Aachen University

   Affiliation as printed

   Numerical Mathematics (IGPM), RWTH Aachen University, Aachen, Germany

   RWTH Aachen University

4. Karen Veroy Aachen Aachen Institute for Advanced Study in Computational Engineering Science (AICES)

   RWTH Aachen University · Aachen Institute for Advanced Study in Computational Engineering Science

   Affiliation as printed

   Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany

   RWTH Aachen University