Tidsskriftspublikasjoner

• Grasmair, Markus; Wøien, Esten Nicolai. (2022) A PDE-Based Method for Shape Registration. SIAM Journal of Imaging Sciences. vol. 15 (2).
• Grasmair, Markus. (2020) Source Conditions for Non-Quadratic Tikhonov Regularization. Numerical Functional Analysis and Optimization.
• Grasmair, Markus; Klock, Timo; Naumova, Valeriya. (2018) Adaptive multi-penalty regularization based on a generalized Lasso path. Applied and Computational Harmonic Analysis.
• Grasmair, Markus; Li, Housen; Munk, Axel. (2018) Variational multiscale nonparametric regression: Smooth functions. Annales de l'I.H.P. Probabilites et statistiques. vol. 54 (2).
• Bauer, Martin; Eslitzbichler, Markus; Grasmair, Markus. (2017) Landmark-guided elastic shape analysis of human character motions. Inverse Problems and Imaging. vol. 11 (4).
• Bauer, Martin; Grasmair, Markus; Kirisits, Clemens. (2015) Optical Flow on Moving Manifolds. SIAM Journal of Imaging Sciences. vol. 8 (1).
• Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. (2011) Necessary and sufficient conditions for linear convergence of l1-regularization. Communications on Pure and Applied Mathematics. vol. 64 (2).
• Grasmair, Markus. (2010) Generalized Bregman distances and convergence rates for non-convex regularization methods. Inverse Problems. vol. 26 (11).
• Grasmair, Markus; Lenzen, Frank. (2010) Anisotropic total variation filtering. Applied Mathematics and Optimization. vol. 62 (3).
• Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. (2008) Sparse regularization with l^q penalty term. Inverse Problems. vol. 24 (5).
• Grasmair, Markus. (2007) The equivalence of the taut string algorithm and BV-regularization. Journal of Mathematical Imaging and Vision. vol. 27 (1).

Bøker

• Scherzer, Otmar; Grasmair, Markus; Grossauer, Harald; Haltmeier, Markus; Lenzen, Frank. (2009) Variational methods in imaging. Springer. 2009. ISBN 978-0-387-30931-6. Applied mathematical sciences (167).

Del av bok/rapport

• Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan Franz; Nygård, Mari; Grasmair, Markus; Werner, Stefan. (2021) Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. 2021 IEEE Statistical Signal Processing Workshop (SSP).
• Grunert, Katrin; Holden, Helge; Grasmair, Markus. (2018) On the Equivalence of Eulerian and Lagrangian Variables for the Two-Component Camassa–Holm System. Current Research in Nonlinear Analysis: In Honor of Haim Brezis and Louis Nirenberg.
• Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. (2010) Sparsity in Inverse Geophysical Problems. Handbook of Geomathematics.