Max Kontak
German Aerospace Center
14 Papers
18 Citations
Max Kontak is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Workflow & Greedy algorithm. The author has an hindex of 4, co-authored 14 publications. Previous affiliations of Max Kontak include University of Siegen.
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Papers
The Regularized Weak Functional Matching Pursuit for linear inverse problems
Max Kontak,Volker Michel +1 more
TL;DR: This work presents the so-called Regularized Weak Functional Matching Pursuit (RWFMP) algorithm, which is a weak greedy algorithm for linear ill-posed inverse problems and provides an a-priori parameter choice rule for the RWFMP, which yields a convergent regularization.
A greedy algorithm for nonlinear inverse problems with an application to nonlinear inverse gravimetry
TL;DR: The RFMP_NL is applied to the nonlinear inverse problem of gravimetry, where gravitational data are inverted for the shape of the surface or inner layer boundaries of planetary bodies.
Novel algorithms of greedy-type for probability density estimation as well as linear and nonlinear inverse problems
Max Kontak
- 26 Apr 2018
TL;DR: In this paper, a greedy algorithm for density estimation was proposed for nonwovens, a particular type of technical textiles, which are widely used in industrial applications, which reduced the computation time of the simulation algorithm from 80 days to 150 minutes.
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•Posted Content
The role of interactive super-computing in using HPC for urgent decision making
Nick Brown,Rupert W. Nash,Gordon Gibb,Bianca Prodan,Max Kontak,Vyacheslav Olshevsky,Wei Der Chien +6 more
TL;DR: In this article, the authors focus on the potential for HPC to be instrumental in responding to disasters such as wildfires, hurricanes, extreme flooding, earthquakes, tsunamis, winter weather conditions, and accidents.
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A Bespoke Workflow Management System for Data-Driven Urgent HPC
Gordon Gibb,Nick Brown,Rupert W. Nash,Miguel Mendes,Santiago Monedero,Humberto Diaz Fidalgo,Joaquin Ramirez Cisneros,Adrián Cardil,Max Kontak +8 more
- 01 Nov 2020
TL;DR: In this article, the authors present a workflow management system for urgent computing, where new data is integrated into the workflow as a disaster progresses in order to refine the predictions as time goes on.