activity
20162025
most citedOn the Convergence Theorem for the Regularized Functional Matching Pursuit (RFMP) Algorithm

12 citations · 32 across the 11 of their papers we have counts for

collaborators

12 papers

math-ph2025

Reconstructing wind fields from gravitational data on gas giants: An investigation of mathematical methods

Tim-Jonas Peter, Volker Michel, Franz-Theo Suttmeier +1

The atmospheric structure of gas giants, especially those of Jupiter and Saturn, has been an object of scientific studies for a long time. The measurement of the gravitational fiel…

physics.geo-ph2025

Decorrelation of Poroelastic Data via Multiscale Mollifiers Wavelets

Bianca Kretz, Willi Freeden, Volker Michel

Poroelasticity can be classified with geophysics and describes the interaction between solids deformation and the pore pressure in a porous medium. The investigation of this effect…

math.NA2023

A matching pursuit approach to the geophysical inverse problem of seismic travel time tomography under the ray theory approximation

Naomi Schneider, Volker Michel, Karin Sigloch +1

Seismic travel time tomography is a geophysical imaging method to infer the 3-D interior structure of the solid Earth. Most commonly formulated as a linear(ized) inverse problem, i…

math.NA2023★ 1 cited

High-dimensional experiments for the downward continuation using the LRFMP algorithm

Naomi Schneider, Volker Michel, Nico Sneeuw

Time-dependent gravity data from satellite missions like GRACE-FO reveal mass redistribution in the system Earth at various time scales: long-term climate change signals, inter-ann…

math.CA2021

A Unified Approach to Scalar, Vector, and Tensor Slepian Functions on the Sphere and Their Construction by a Commuting Operator

Volker Michel, Alain Plattner, Katrin Seibert

We present a unified approach for constructing Slepian functions - also known as prolate spheroidal wave functions - on the sphere for arbitrary tensor ranks including scalar, vect…

math.NA2020★ 5 cited

A dictionary learning add-on for spherical downward continuation

Naomi Schneider, Volker Michel

We propose a novel dictionary learning add-on for existing approximation algorithms for spherical inverse problems such as the downward continuation of the gravitational potential.…

math.NA2019★ 5 cited

A first approach to learning a best basis for gravitational field modelling

Volker Michel, Naomi Schneider

Gravitational field modelling is an important tool for inferring past and present dynamic processes of the Earth. Functions on the sphere such as the gravitational potential are us…

math.NA2017★ 8 cited

A General Approach to Regularizing Inverse Problems with Regional Data using Slepian Wavelets

Volker Michel, Frederik J. Simons

Slepian functions are orthogonal function systems that live on subdomains (for example, geographical regions on the Earth's surface, or bandlimited portions of the entire spectrum)…

math.NA2017★ 1 cited

Vectorial Slepian Functions on the Ball

Volker Michel, Sarah Orzlowski, Naomi Schneider

Due to the uncertainty principle, a function cannot be simultaneously limited in space as well as in frequency. The idea of Slepian functions in general is to find functions that a…

math.NA2017★ 12 cited

On the Convergence Theorem for the Regularized Functional Matching Pursuit (RFMP) Algorithm

Prof. Dr. Volker Michel, Sarah Orzlowski

The RFMP is an iterative regularization method for a class of linear inverse problems. It has proved to be applicable to problems which occur, for example, in the geosciences. In t…

math.NA2016

Study on parameter choice methods for the RFMP with respect to downward continuation

Martin Gutting, Bianca Kretz, Volker Michel +1

Recently, the regularized functional matching pursuit (RFMP) was introduced as a greedy algorithm for linear ill-posed inverse problems. This algorithm incorporates the Tikhonov-Ph…

math.NA2016

Three-dimensional simulation of nonwoven fabrics using a greedy approximation of the distribution of fiber directions

Simone Gramsch, Max Kontak, Volker Michel

An elementary algorithm is used to simulate the industrial production of a fiber of a 3-dimensional nonwoven fabric. The algorithm simulates the fiber as a polyline where the direc…