Research output per year
Research output per year
Personal profile
Research
My research focuses on inverse problems, parameter selection and identification, non-smooth optimisation, and numerical methods for partial differential equations, with applications to image processing. In particular, I work on total variation minimisation and subspace correction methods.
For more information see my homepage.
Subject classification (UKÄ)
- Computational Mathematics
Free keywords
- Inverse problems
- Optimization
- Numerical analysis
- Mathematical imaging
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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An adaptive finite difference method for total variation minimization
Jacumin, T. & Langer, A., 2026, In: Numerical Algorithms. 101, 2, p. 1337-1372 36 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A primal-dual adaptive finite element method for total variation minimization
Alkämper, M., Hilb, S. & Langer, A., 2025 Aug 21, In: Advances in Computational Mathematics. 51, 35 p., 42.Research output: Contribution to journal › Article › peer-review
Open Access -
A general decomposition method for a convex problem related to total variation minimization
Hilb, S. & Langer, A., 2025, In: The SMAI Journal of computational mathematics. 11, p. 693-726 34 p.Research output: Contribution to journal › Article › peer-review
Open Access -
FractalPINN-Flow: A Fractal-Inspired Network for Unsupervised Optical Flow Estimation with Total Variation Regularization
Behnamian, S., Khaksarinezhad, R. & Langer, A., 2025, 2nd Sorbonne-Heidelberg Workshop on AI in Medicine: Machine Learning for Multi-modal Data . Hesser, J. & Fresquet, X. (eds.). Heidelberg: Heidelberg University, p. 66-75 (Joint DFH/UFA workshop on AI in Medicine; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Open Access -
DeepTV: A neural network approach for total variation minimization
Langer, A. & Behnamian, S., 2024.Research output: Working paper/Preprint › Preprint (in preprint archive)
Projects
- 1 Finished
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Lokalt adaptiva metoder för fria diskontinuitetsproblem
Langer, A. (PI) & Jacumin, T. (Researcher)
2022/10/01 → 2024/09/30
Project: Research