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20182025
most citedVISIONS: The VISTA Star Formation Atlas -- I. Survey overview

11 citations · 15 across the 13 of their papers we have counts for

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10 papers · 1 filter

math.NA2025

Heat Conduction with Phase Change in Permafrost Modules of Vegetation Models

David Hötten, Jenny Niebsch, Ronny Ramlau +1

We consider the problem of heat conduction with phase change, that is essential for permafrost modeling in Land Surface Models and Dynamic Global Vegetation Models. These models re…

math.NA2024

On some analytic properties of the atmospheric tomography operator: Non-Uniqueness and reconstructability issues

Ronny Ramlau, Bernadett Stadler

In this paper, we consider the atmospheric tomography operator, which describes the effect of turbulent atmospheric layers on incoming planar wavefronts. Given wavefronts from diff…

math.NA2024

An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain

Lukas Weissinger, Simon Hubmer, Ronny Ramlau +1

Cardiac pulsations in the human brain have received recent interest due to their possible role in the pathogenesis of neurodegenerative diseases. Further interest stems from their…

math.NA2024

Regularization of linear inverse problems with irregular noise using embedding operators

Xinyan Li, Simon Hubmer, Shuai Lu +1

In this paper, we investigate regularization of linear inverse problems with irregular noise. In particular, we consider the case that the noise can be preprocessed by certain adjo…

math.NA2020

Estimating solution smoothness and data noise with Tikhonov regularization

Daniel Gerth, Ronny Ramlau

A main drawback of classical Tikhonov regularization is that often the parameters required to apply theoretical results, e.g., the smoothness of the sought-after solution and the n…

math.NA2020

Subspace Recycling-based Regularization Methods

Ronny Ramlau, Kirk M. Soodhalter, Victoria Hutterer

Subspace recycling techniques have been used quite successfully for the acceleration of iterative methods for solving large-scale linear systems. These methods often work by augmen…