3 papers
math.OC2026
Optimal experimental design for passive imaging source problems
Christian Aarset, Thorsten Hohage, Georg Stadler
This work focuses on optimal experimental design (OED) methods for passive imaging. We adopt a Bayesian inverse problem framework for passive imaging source problems, primarily foc…
math.NA2026
Quantum relative entropy regularization for quantum state tomography
Florian Oberender, Thorsten Hohage
The density matrix is a positive semidefinite operator of trace 1 characterizing the state of a quantum system. We consider the inverse problem to reconstruct such density matrices…
math.AP2024
Passive inverse obstacle scattering problems for the Helmholtz equation
Thorsten Hohage, Meng Liu
Passive imaging involves recording waves generated by uncontrolled, random sources and utilizing correlations of such waves to image the medium through which they propagate. In thi…