Cristin

2020
1.	Grasmair, Markus. Source Conditions for Non-Quadratic Tikhonov Regularization. Numerical Functional Analysis and Optimization 2020 s. 1352-1372 NTNU Untitled
2018
2.	Grasmair, Markus; Klock, Timo; Naumova, Valeriya. Adaptive multi-penalty regularization based on a generalized Lasso path. Applied and Computational Harmonic Analysis 2018 s. 1-26 NTNU Untitled

3.	Grasmair, Markus; Li, Housen; Munk, Axel. Variational multiscale nonparametric regression: Smooth functions. Annales de l'I.H.P. Probabilites et statistiques 2018 ;Volum 54.(2) s. 1058-1097 NTNU Untitled

4.	Grunert, Katrin; Holden, Helge; Grasmair, Markus. On the Equivalence of Eulerian and Lagrangian Variables for the Two-Component Camassa–Holm System. I: Current Research in Nonlinear Analysis: In Honor of Haim Brezis and Louis Nirenberg. Springer Nature 2018 ISBN 978-3-319-89799-8. s. 157-201 NTNU Untitled
2017
5.	Bauer, Martin; Eslitzbichler, Markus; Grasmair, Markus. Landmark-guided elastic shape analysis of human character motions. Inverse Problems and Imaging 2017 ;Volum 11.(4) s. 601-621 NTNU Untitled

6.	Grasmair, Markus. A nonlocal, nonconvex functional for coherence enhancing image restoration. Applied Inverse Problems; 2017-05-29 - 2017-06-02 NTNU Untitled

7.	Grasmair, Markus. A nonlocal, nonconvex functional for coherence enhancing image restoration. Challenges in the Preservation of Structure; 2017-06-27 - 2017-06-30 NTNU Untitled

8.	Grasmair, Markus. Convergence Rates for Multiresolution based Regularisation Methods. Statistics Meets Friends; 2017-11-29 - 2017-12-01 NTNU Untitled

9.	Grasmair, Markus. Convergence Rates for Multiresolution based Regularisation Methods. MAD-Stat. Seminar; 2017-12-07 - 2017-12-07 NTNU Untitled

10.	Grasmair, Markus. Multi-penalty regularization for sparse support recovery. Bayesian and Nonlinear Inverse Problems; 2017-08-28 - 2017-09-01 NTNU Untitled

11.	Grasmair, Markus. Multiscale statistical regularisation for inverse problems in imaging. Applied Inverse Problems; 2017-05-29 - 2017-06-02 NTNU Untitled
2016
12.	Grasmair, Markus. Local parameter adaptation in imaging applications by means of multiresolution. Imaging, Vision and Learning based on Optimization and PDEs; 2016-08-29 - 2016-09-01 NTNU Untitled

13.	Grasmair, Markus. Local parameter adaptation in imaging applications by means of multiresolution. Current and future trends in computed tomography; 2016-09-15 - 2016-09-16 NTNU Untitled

14.	Grasmair, Markus. Multiparameter sparse regularisation for unmixing problems. Inverse Problems: Modeling and Simulation; 2016-05-23 - 2016-05-28 NTNU Untitled

15.	Grasmair, Markus. The multiresolution norm for statistical inverse problems. Inverse Problems: Modeling and Simulation; 2016-05-23 - 2016-05-28 NTNU Untitled

16.	Grasmair, Markus; Naumova, Valeriya. Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization. Inverse Problems 2016 ;Volum 32.(10) NTNU Untitled
2015
17.	Bauer, Martin; Grasmair, Markus; Kirisits, Clemens. Optical Flow on Moving Manifolds. SIAM Journal of Imaging Sciences 2015 ;Volum 8.(1) s. 484-512 NTNU Untitled

18.	Grasmair, Markus. Multiscale nonparametric regression. Chemnitz Symposium on Inverse Problems; 2015-09-17 - 2015-09-18 NTNU Untitled

19.	Grasmair, Markus. Source Conditions for Non-smooth Sparse Regularisation. Applied Inverse Problems 2015; 2015-05-25 - 2015-05-29 NTNU Untitled

20.	Grasmair, Markus. Sparse Regularisation for Inverse Problems. Research Seminar; 2015-05-07 - 2015-05-07 NTNU Untitled
2014
21.	Beretta, Elena; Grasmair, Markus; Muszkieta, Monika; Scherzer, Otmar. A variational algorithm for the detection of line segments. Inverse Problems and Imaging 2014 ;Volum 8.(2) s. 389-408 NTNU Untitled

22.	Grasmair, Markus. Bregman distance, source conditions, and variational inequalities in Tikhonov regularisation. Chemnitz Symposium on Inverse Problems; 2014-09-18 - 2014-09-19 NTNU Untitled

23.	Grasmair, Markus. Multiresolution in Statistical Inverse Problems. Inverse Problems: Modeling and Simulation; 2014-05-26 - 2014-05-31 NTNU Untitled

24.	Grasmair, Markus. Optical Flow on Moving Manifolds. Workshop on Advances in Mathematical Imaging; 2014-11-24 - 2014-11-26 NTNU Untitled

25.	Grasmair, Markus. Optical Flow on Moving Manifolds. Anysotropy 2014; 2014-10-16 - 2014-10-18 NTNU Untitled

26.	Lyckander, Ingvild; Grasmair, Markus; Halvorsen-Weare, Elin Espeland; Hasle, Geir. A Hybrid Metaheuristic for a multi-objective Mixed Capacitated General Routing Problem. The third meeting of the EURO Working Group on Vehicle Routing and Logistics Optimization (VeRoLog 2014); 2014-06-22 - 2014-06-25 NTNU SINTEF Untitled
2013
27.	Bauer, Martin; Fidler, Thomas; Grasmair, Markus. Local Uniqueness of the Circular Integral Invariant. Inverse Problems and Imaging 2013 ;Volum 7.(1) s. 107-122 Untitled

28.	Dong, Guozhi; Grasmair, Markus; Kang, Sung Ha; Scherzer, Otmar. Scale and Edge Detection with Topological Derivatives. Lecture Notes in Computer Science (LNCS) 2013 ;Volum 7893. s. 404-415 NTNU Untitled

29.	Grasmair, Markus. The Multi-resolution Norm for Non-parametric Regression and Inverse Problems. Séminaire Pluridisciplinaire d'Optimisation de Toulouse; 2013-11-04 - 2013-11-04 NTNU Untitled

30.	Grasmair, Markus. Topological Derivatives and Image Segmentation. 84. Annual Meeting of the International Association of Applied Mathematics and Mechanics; 2013-03-18 - 2013-03-22 NTNU Untitled

31.	Grasmair, Markus. Variational inequalities and higher order convergence rates for Tikhonov regularisation on Banach spaces. Journal of Inverse and Ill-Posed Problems 2013 ;Volum 21.(3) s. 379-394 NTNU Untitled

32.	Grasmair, Markus; Muszkieta, Monika; Scherzer, Otmar. An approach to the minimization of the Mumford-Shah functional using Gamma-convergence and topological asymptotic expansion. Interfaces and free boundaries (Print) 2013 ;Volum 15.(2) s. 141-166 NTNU Untitled

33.	Grasmair, Markus; Scherzer, Otmar; Vanhems, Anne. Nonparametric instrumental regression with non-convex constraints. Inverse Problems 2013 ;Volum 29.(3) s. - NTNU Untitled
2012
34.	Fidler, Thomas; Grasmair, Markus; Scherzer, Otmar. Shape reconstruction with a priori knowledge based on integral invariants. SIAM Journal of Imaging Sciences 2012 ;Volum 5.(2) s. 726-745 NTNU Untitled

35.	Frick, Klaus; Grasmair, Markus. Regularization of linear ill-posed problems by the augmented Lagrangian method and variational inequalities. Inverse Problems 2012 ;Volum 28.(10) NTNU Untitled

36.	Grasmair, Markus. Convergence rates for Tikhonov regularisation on Banach spaces. Oberwolfach Reports 2012 ;Volum 9.(4) s. 3102-3103 NTNU Untitled
2011
37.	Grasmair, Markus. Linear convergence rates for Tikhonov regularization with positively homogeneous functionals. Inverse Problems 2011 ;Volum 27.(7) NTNU Untitled

38.	Grasmair, Markus. Well-posedness classes for sparse regularization. Communications in Mathematical Sciences 2011 ;Volum 9.(4) s. 1129-1141 NTNU Untitled

39.	Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. Necessary and sufficient conditions for linear convergence of l1-regularization. Communications on Pure and Applied Mathematics 2011 ;Volum 64.(2) s. 161-182 NTNU Untitled

40.	Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. The residual method for regularizing ill-posed problems. Applied Mathematics and Computation 2011 ;Volum 218.(6) s. 2693-2710 NTNU Untitled
2010
41.	Alexandrov, Theodore; Becker, Michael; Deininger, Sören-Oliver; Ernst, Günther; Wehder, Liane; Grasmair, Markus; von Eggeling, Ferdinand; Thiele, Herbert; Maass, Peter. Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering. Journal of Proteome Research 2010 ;Volum 9.(12) s. 6535-6546 NTNU Untitled

42.	Elbau, Peter; Grasmair, Markus; Lenzen, Frank; Scherzer, Otmar. Evolution by non-convex functionals. Numerical Functional Analysis and Optimization 2010 ;Volum 31.(4) s. 489-517 NTNU Untitled

43.	Grasmair, Markus. Generalized Bregman distances and convergence rates for non-convex regularization methods. Inverse Problems 2010 ;Volum 26.(11) NTNU Untitled

44.	Grasmair, Markus. Non-convex sparse regularisation. Journal of Mathematical Analysis and Applications 2010 ;Volum 365.(1) s. 19-28 NTNU Untitled

45.	Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. Sparsity in Inverse Geophysical Problems. I: Handbook of Geomathematics. Springer 2010 ISBN 978-3-642-01545-8. s. 763-784 NTNU Untitled

46.	Grasmair, Markus; Lenzen, Frank. Anisotropic total variation filtering. Applied Mathematics and Optimization 2010 ;Volum 62.(3) s. 323-339 NTNU Untitled
2009
47.	Grasmair, Markus. Locally Adaptive Total Variation Regularization. Lecture Notes in Computer Science (LNCS) 2009 ;Volum 5567. s. 331-342 NTNU Untitled

48.	Grasmair, Markus. Well-posedness and convergence rates for sparse regularization with sublinear l^q penalty term. Inverse Problems and Imaging 2009 ;Volum 3.(3) s. 383-387 NTNU Untitled

49.	Scherzer, Otmar; Grasmair, Markus; Grossauer, Harald; Haltmeier, Markus; Lenzen, Frank. Variational methods in imaging. Springer 2009 (ISBN 978-0-387-30931-6) 320 s. Applied mathematical sciences(167) NTNU Untitled
2008
50.	Fidler, Thomas; Grasmair, Markus; Scherzer, Otmar. Identifiability and reconstruction of shapes from integral invariants. Inverse Problems and Imaging 2008 ;Volum 2.(3) s. 341-354 NTNU Untitled

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