Publications per year
Publications per year
Personal profile
Other information
Language Skills:English
German
Education/Academic qualification
Ph.D., University of California, Los Angeles
2006 → 2011
M.Sc., Aalborg Universitet
2001 → 2006
External positions
Postdoc, Linköping University, Sweden
2011 → 2012
Keywords
- User defined:
- Optimization
- Signal processing
- Machine Learning
- Numerical methods and algorithms
- Mathematical programming; stochastic programming
- Numerical Optimization
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Dive into the research topics where Martin Skovgaard Andersen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Bayesian approach to CT reconstruction with uncertain geometry
Pedersen, F. H., Jørgensen, J. S. & Andersen, M. S., 2023, In: Applied Mathematics in Science and Engineering. 31, 1, 18 p., 216604.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile19 Downloads (Pure) -
Low-rank flat-field correction for artifact reduction in spectral computed tomography
Bangsgaard, K. O., Burca, G., Ametova, E., Andersen, M. S. & Jørgensen, J. S., 2023, In: Applied Mathematics in Science and Engineering. 31, 1, 17 p., 2176000.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile5 Downloads (Pure) -
A statistical reconstruction model for absorption CT with source uncertainty
Bangsgaard, K. O. & Andersen, M. S., 2021, In: Inverse Problems. 37, 8, 23 p., 085009 .Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile29 Downloads (Pure) -
On semiseparable kernels and efficient implementation for regularized system identification and function estimation
Chen, T. & Andersen, M. S., 2021, In: Automatica. 132, 14 p., 109682.Research output: Contribution to journal › Journal article › Research › peer-review
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Optimization Methods for Tomography
Andersen, M. S., 2021, Computed Tomography: Algorithms, Insight, and Just Enough Theory. Hansen, P. C., Jørgensen, J. S. & Lionheart, W. R. B. (eds.). Society for Industrial and Applied Mathematics, p. 275-315 (Fundamentals of Algorithms).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Education
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Optimization methods for data-sparse models
Galvão da Mata, J. V., Andersen, M. S. & Bock, A. A.
01/12/2022 → 30/11/2025
Project: PhD
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Fast Direct Solvers for Integral Equations in High-Frequency Electromagnetics
Gæde, M. H., Andersen, M. S., Borries, O., Hesthaven, J. S. & Limkilde, A.
01/02/2022 → 31/01/2025
Project: PhD
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Approximation methods for optimization with rank structure
Chen, L., Andersen, M. S. & Chen, T.
01/11/2021 → 31/10/2024
Project: PhD
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Computational Uncertainty Quantification for Inverse Problems with Implicit Priors
Everink, J. M., Andersen, M. S. & Dong, Y.
01/10/2021 → 30/09/2024
Project: PhD
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Computational methods for optimization with rank structure
Pedersen, F. H., Andersen, M. S. & Dahl, J.
15/03/2021 → 14/05/2024
Project: PhD