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20052026
most citedRegularization of systems of nonlinear ill-posed equations: I. Convergence Analysis

105 citations · 265 across the 34 of their papers we have counts for

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Showing 2021 · math.NAShow all

6 papers · 2 filters

math.NA2021

Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion

Florian Faucher, Clemens Kirisits, Michael Quellmalz +2

In this paper, we study the mathematical imaging problem of diffraction tomography (DT), which is an inverse scattering technique used to find material properties of an object by i…

math.NA2021

Universal approximation properties of shallow quadratic neural networks

Leon Frischauf, Otmar Scherzer, Cong Shi

In this paper we study shallow neural network functions which are linear combinations of compositions of activation and quadratic functions, replacing standard affine linear functi…

math.NA2021

Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations

Clemens Kirisits, Michael Quellmalz, Monika Ritsch-Marte +3

In this paper, we study the mathematical imaging problem of optical diffraction tomography (ODT) for the scenario of a microscopic rigid particle rotating in a trap created, for in…

math.NA2021

On convergence rates of adaptive ensemble Kalman inversion for linear ill-posed problems

Fabian Parzer, Otmar Scherzer

In this paper we discuss a deterministic form of ensemble Kalman inversion as a regularization method for linear inverse problems. By interpreting ensemble Kalman inversion as a lo…

math.NA2021

Challenges for Optical Flow Estimates in Elastography

Ekaterina Sherina, Lisa Krainz, Simon Hubmer +2

In this paper, we consider visualization of displacement fields via optical flow methods in elastographic experiments consisting of a static compression of a sample. We propose an…

math.NA2021

Data driven reconstruction using frames and Riesz bases

Andrea Aspri, Leon Frischauf, Yury Korolev +1

We study the problem of regularization of inverse problems adopting a purely data driven approach, by using the similarity to the method of regularization by projection. We provide…