Marcus Noack
External collaborator
Publications
Simula-affiliated publications listed
2017
Journal Articles
M. Noack and S. Clark
Acoustic wave and eikonal equations in a transformed metric space for various types of anisotropy
Heliyon
M. Noack and S. W. Funke
Hybrid Genetic Deflated Newton Method for Global Optimisation
Journal of Computational and Applied Mathematics
PhD Thesis
M. Noack
New Theoretical and Numerical Methods for Wave-Motion Modeling and Optimization
The Faculty of Mathematics and Natural Sciences, University of Oslo
2016
Posters
M. Noack and S. Day
Hybrid Genetic Deflated Newton Method for Distributed-Source Optimization
Patents
M. Noack
A Two-Scale Method Using a List of Active Sub-Domains for a Fully Parallelized Solution of Wave Equations
M. Noack and S. W. Funke
Apparatur and Method for Global Optimization
2015
Journal Articles
M. Noack
A Two-Scale Method using a List of Active Sub-Domains for a Fully Parallelized Solution of Wave Equations
Journal of Computational Science
M. Noack
Fast Computation of Eikonal and Transport Equations on GPU Computer Architectures
Geophysics
Proceedings, refereed
K. S. Mcleod, S. Wall and M. Noack
Fast Sweeping vs. Fast Marching for Eikonal Methods of Electrophysiology - A Potential for Significantly More Efficient Computation?
Cardiac Physiome Workshop, Auckland, New Zealand
Posters
K. McLeod, S. Wall and M. Noack
Fast Sweeping vs. Fast Marching for Elkonal Methods of Electrophysiology - A Potential for Significantly More Efficient Computation?
2014
Proceedings, refereed
K. S. Mcleod, M. Noack, J. Saberniak and K. Haugaa
Structural Abnormality Detection of ARVC Patients Via Localised Distance-to-average Mapping
MICCAI workshop on Statistical Atlases and Computational Modeling of the Heart (STACOM)
Talks, contributed
M. Noack and T. Gillberg
Parallel and simultaneous computation of eikonal and transport equations by taking full advantage of GPU computer architecture
Jena, Germany
M. Noack
Fast and accurate Solutions of the Eikonal and Transport Equations
Amsterdam