Members
Publications of Univ. - Prof. Dr. Ronny Ramlau
M. Eslitzbichler, C. Pechstein and R. Ramlau
An H^1 Kaczmarz reconstructor for atmospheric tomography
To appear in Journal of Inverse and Ill-Posed Problems
S. Anzengruber, E. Klann, R. Ramlau, and D. Tonova,
Numerical methods for the design of gradient-index optical coatings,
Appl. Opt. 51: 8277-8295, 2012
E. Klann and R. Ramlau,
Regularization properties of Mumford-Shah type functionals with perimeter and norm constraints for linear ill-posed problems,
To appear in SIIMS
I. Bleyer and R. Ramlau,
A Double Regularization Approach for Inverse Problems with Noisy Data and Inexact Operator,
Inverse Problems Vol. 29 (2): 025004, 2013
C. Brandt, A. Krause, J. Niebsch, J. Viehmeyer, E. Brinksmeier, P. Maass and R. Ramlau,
Surface Generation Process with Consideration of the Balancing State in Diamond Machining,
In: B. Denkena, F. Hollmann (Eds.) Lecture Notes in Production Engineering, Process Machine Interactions, pages 329-360, Springer, 2012
S. W. Anzengruber, E. Klann, R. Ramlau and D. Tonova,
Numerical methods for the design of gradient-index optical coatings,
Applied Optics Vol. 51 (34): 173652, December 2012
R. Ramlau and M. Rosensteiner,
An efficient solution to the atmospheric turbulence tomography problem using Kaczmaz iteration,
Inverse Problems Vol. 28 (9): 095004, 2012
S. Kindermann, A. Neubauer and R. Ramlau.
A singular value decomposition for the Shack - Hartmann based wavefront reconstruction,
J. Comput. Appl. Math. Vol. 236 (8): 2186-2199, February 2012
R. Ramlau and C. Zarzer,
On the optimization of a Tikhonov functional with non-convex sparsity constraints,
ETNA Vol. 39: 476-507, 2012
K. Lettmann, N. Riedinger, R. Ramlau, N. Knab, M. Böttcher, A. Khalili, J.-O. Wolff and B. Jorgensen,
Estimation of biogeochemical rates from concentration profiles: a novel inverse method,
Estuarine, Coastal and Shelf Science Vol. 100: 26-37, 2012
S. Anzengruber and R. Ramlau,
Convergence rates for Morozov's discrepancy principle using variational inequalities,
Inverse Problems Vol. 27 (10): 105007, 2011
M. Zhariy, A. Neubauer, M. Rosensteiner, and R. Ramlau,
Cumulative Wavefront Reconstructor for the Shack-Hartmann Sensor,
Inverse Problems and Imaging Vol. 5 (4): 893-913, 2011
C. Brandt, J. Niebsch, R. Ramlau and P. Maass,
Modeling the Influence of Unbalances for Ultra-Precision Cutting Processes,
ZAMM Vol. 91 (10): 795-808, 2011
E. Klann, R. Ramlau and L. Reichel,
Wavelet-Based Multilevel Methods for Linear Ill-Posed Problems,
BIT Numer. Math Vol. 5 (3): 669-694, 2011
E. Klann, R. Ramlau and W. Ring.
A Mumford-Shah level-set approach for the inversion and segmentation of SPECT / CT data.
Inverse Problems in Imaging Vol. 30 (1), May 2011
R. Ramlau and G. Teschke,
Sparse Recovery in Inverse Problems,
In: M. Fornasier (Ed.), Theoretical Foundations and Numerical Methods for Sparse Recovery,
Radon Series on Computational and Applied Mathematics 9, pages 201-262, De Gruyter, Berlin, 2010
R. Ramlau and W. Ring,
Regularization of linear operator equations by Perimeter constraints,
Inverse Problems Vol. 26 (11): 115001, 2010
S. Anzengruber and R. Ramlau,
Morozovs discrepancy principle for Tikhonov-type functionals with non-linear operators,
Inverse Problems Vol. 26 (2), February 2010
J. Niebsch, R. Ramlau and T.T. Nguyen,
Mass and Aerodynamic Imbalance Estiamtes of Wind Turbines,
Energies Vol. 3(4): 696-710, 2010
S. Anzengruber, F. Bauer, A. Leitao and R. Ramlau,
New algorithms for parallel MRI,
J. Phys.: Conf. Ser. 135 012009 (8pp), 2009
M. Fornasier, R. Ramlau and G. Teschke,
The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem,
Adv. Comput. Math. Vol. 31 (1-3): 157-184, 2009
J. Niebsch and R. Ramlau,
Imbalance identification without test masses for wind turbines,
J. Solar Energy Engeneering Vol. 131 (1), 011010-1 - 011010-7, 2009
L. Justen and R. Ramlau,
A General Framework for Soft–Shrinkage with Applications to Blind Deconvolution and Wavelet Denoising,
Appl. Comp. Harmon. Anal. Vol. 26 (1): 43 - 63, 2009
R. Ramlau, G. Teschke, and M. Zhariy,
A Compressive Landweber Iteration for Solving Ill-Posed Inverse Problems.
Inverse Problems Vol. 24 065013, 2008
R. Ramlau,
Regularization properties of Tikhonov regularization with sparsity constraints,
ETNA Vol. 30: 54-74, 2008
E.Klann and R.Ramlau,
Regularization by Fractional Filter Methods and Data Smoothing,
Inverse Problems Vol. 24 (2), April 2008
C. Brandt, H. R. Karimi, I. Piotrowska, J. Niebsch, R. Ramlau, A. Krause, O. Riemer and P. Maass,
Process- Machine Interaction Model for Turning Process,
An H^1 Kaczmarz reconstructor for atmospheric tomography
To appear in Journal of Inverse and Ill-Posed Problems
S. Anzengruber, E. Klann, R. Ramlau, and D. Tonova,
Numerical methods for the design of gradient-index optical coatings,
Appl. Opt. 51: 8277-8295, 2012
E. Klann and R. Ramlau,
Regularization properties of Mumford-Shah type functionals with perimeter and norm constraints for linear ill-posed problems,
To appear in SIIMS
I. Bleyer and R. Ramlau,
A Double Regularization Approach for Inverse Problems with Noisy Data and Inexact Operator,
Inverse Problems Vol. 29 (2): 025004, 2013
C. Brandt, A. Krause, J. Niebsch, J. Viehmeyer, E. Brinksmeier, P. Maass and R. Ramlau,
Surface Generation Process with Consideration of the Balancing State in Diamond Machining,
In: B. Denkena, F. Hollmann (Eds.) Lecture Notes in Production Engineering, Process Machine Interactions, pages 329-360, Springer, 2012
S. W. Anzengruber, E. Klann, R. Ramlau and D. Tonova,
Numerical methods for the design of gradient-index optical coatings,
Applied Optics Vol. 51 (34): 173652, December 2012
R. Ramlau and M. Rosensteiner,
An efficient solution to the atmospheric turbulence tomography problem using Kaczmaz iteration,
Inverse Problems Vol. 28 (9): 095004, 2012
S. Kindermann, A. Neubauer and R. Ramlau.
A singular value decomposition for the Shack - Hartmann based wavefront reconstruction,
J. Comput. Appl. Math. Vol. 236 (8): 2186-2199, February 2012
R. Ramlau and C. Zarzer,
On the optimization of a Tikhonov functional with non-convex sparsity constraints,
ETNA Vol. 39: 476-507, 2012
K. Lettmann, N. Riedinger, R. Ramlau, N. Knab, M. Böttcher, A. Khalili, J.-O. Wolff and B. Jorgensen,
Estimation of biogeochemical rates from concentration profiles: a novel inverse method,
Estuarine, Coastal and Shelf Science Vol. 100: 26-37, 2012
S. Anzengruber and R. Ramlau,
Convergence rates for Morozov's discrepancy principle using variational inequalities,
Inverse Problems Vol. 27 (10): 105007, 2011
M. Zhariy, A. Neubauer, M. Rosensteiner, and R. Ramlau,
Cumulative Wavefront Reconstructor for the Shack-Hartmann Sensor,
Inverse Problems and Imaging Vol. 5 (4): 893-913, 2011
C. Brandt, J. Niebsch, R. Ramlau and P. Maass,
Modeling the Influence of Unbalances for Ultra-Precision Cutting Processes,
ZAMM Vol. 91 (10): 795-808, 2011
E. Klann, R. Ramlau and L. Reichel,
Wavelet-Based Multilevel Methods for Linear Ill-Posed Problems,
BIT Numer. Math Vol. 5 (3): 669-694, 2011
E. Klann, R. Ramlau and W. Ring.
A Mumford-Shah level-set approach for the inversion and segmentation of SPECT / CT data.
Inverse Problems in Imaging Vol. 30 (1), May 2011
R. Ramlau and G. Teschke,
Sparse Recovery in Inverse Problems,
In: M. Fornasier (Ed.), Theoretical Foundations and Numerical Methods for Sparse Recovery,
Radon Series on Computational and Applied Mathematics 9, pages 201-262, De Gruyter, Berlin, 2010
R. Ramlau and W. Ring,
Regularization of linear operator equations by Perimeter constraints,
Inverse Problems Vol. 26 (11): 115001, 2010
S. Anzengruber and R. Ramlau,
Morozovs discrepancy principle for Tikhonov-type functionals with non-linear operators,
Inverse Problems Vol. 26 (2), February 2010
J. Niebsch, R. Ramlau and T.T. Nguyen,
Mass and Aerodynamic Imbalance Estiamtes of Wind Turbines,
Energies Vol. 3(4): 696-710, 2010
S. Anzengruber, F. Bauer, A. Leitao and R. Ramlau,
New algorithms for parallel MRI,
J. Phys.: Conf. Ser. 135 012009 (8pp), 2009
M. Fornasier, R. Ramlau and G. Teschke,
The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem,
Adv. Comput. Math. Vol. 31 (1-3): 157-184, 2009
J. Niebsch and R. Ramlau,
Imbalance identification without test masses for wind turbines,
J. Solar Energy Engeneering Vol. 131 (1), 011010-1 - 011010-7, 2009
L. Justen and R. Ramlau,
A General Framework for Soft–Shrinkage with Applications to Blind Deconvolution and Wavelet Denoising,
Appl. Comp. Harmon. Anal. Vol. 26 (1): 43 - 63, 2009
R. Ramlau, G. Teschke, and M. Zhariy,
A Compressive Landweber Iteration for Solving Ill-Posed Inverse Problems.
Inverse Problems Vol. 24 065013, 2008
R. Ramlau,
Regularization properties of Tikhonov regularization with sparsity constraints,
ETNA Vol. 30: 54-74, 2008
E.Klann and R.Ramlau,
Regularization by Fractional Filter Methods and Data Smoothing,
Inverse Problems Vol. 24 (2), April 2008
C. Brandt, H. R. Karimi, I. Piotrowska, J. Niebsch, R. Ramlau, A. Krause, O. Riemer and P. Maass,
Process- Machine Interaction Model for Turning Process,
Proceedings of the 1st International Conference on Process Machine Interactions, Hannover, pages 239-246, 2008
J. Niebsch and R. Ramlau,
Balancing wind power plants,
ECMI Newsletter, 2008
Gerd Teschke and R. Ramlau,
An iterative algorithm for nonlinear inverse problems with joint sparsity constraints in vector-valued regimes and an application to color image inpainting,
Inverse Problems Vol. 23 (5): 1851-1870, October 2007
S. Kindermann and R. Ramlau,
Surrogate functional and tresholding for inverse interface problems,
Journal for Inverse and Ill - Posed Problems Vol. 15 (4): 387-402, 2007
R. Ramlau and W. Ring,
A Mumford-Shah approach for contour tomography,
Journal of Computational Physics Vol. 221 (2): 539-557, February 2007
Shuai Lu, Sergei V Pereverzev and R. Ramlau,
An analysis of Tikhonov regularization for nonlinear ill-posed problems under a general smoothness assumption.
Inverse Problems Vol. 23 (1): 217-230, February 2007
R. Ramlau,
J. Niebsch and R. Ramlau,
Balancing wind power plants,
ECMI Newsletter, 2008
Gerd Teschke and R. Ramlau,
An iterative algorithm for nonlinear inverse problems with joint sparsity constraints in vector-valued regimes and an application to color image inpainting,
Inverse Problems Vol. 23 (5): 1851-1870, October 2007
S. Kindermann and R. Ramlau,
Surrogate functional and tresholding for inverse interface problems,
Journal for Inverse and Ill - Posed Problems Vol. 15 (4): 387-402, 2007
R. Ramlau and W. Ring,
A Mumford-Shah approach for contour tomography,
Journal of Computational Physics Vol. 221 (2): 539-557, February 2007
Shuai Lu, Sergei V Pereverzev and R. Ramlau,
An analysis of Tikhonov regularization for nonlinear ill-posed problems under a general smoothness assumption.
Inverse Problems Vol. 23 (1): 217-230, February 2007
R. Ramlau,
Tikhonov regularization with non - standard constraints for Tomography,
A. K. Louis, F. Natterer, E. T. Quinto, Mathematical Methods in Tomography, 34/2006, Oberwolfach Report, 62-64, 2006
R. Ramlau and G. Teschke,
A Tresholding Iteration for Nonlinear Operator Equations with Sparsity Constraints,
Numerische Mathematik Vol. 104 (2): 177 - 203, 2006
E. Klann, P. Maass and R. Ramlau,
Tikhonov regularization with Wavelet shrinkage for linear inverse problems,
Journal for Inverse and Ill-Posed Problems Vol. 14 (6): 583 - 609, 2006.
J. Niebsch and R. Ramlau,
A. K. Louis, F. Natterer, E. T. Quinto, Mathematical Methods in Tomography, 34/2006, Oberwolfach Report, 62-64, 2006
R. Ramlau and G. Teschke,
A Tresholding Iteration for Nonlinear Operator Equations with Sparsity Constraints,
Numerische Mathematik Vol. 104 (2): 177 - 203, 2006
E. Klann, P. Maass and R. Ramlau,
Tikhonov regularization with Wavelet shrinkage for linear inverse problems,
Journal for Inverse and Ill-Posed Problems Vol. 14 (6): 583 - 609, 2006.
J. Niebsch and R. Ramlau,
Automatische Unwuchterkennung am Rotor,
Erneuerbare Energien, Ausgabe 5, Mai 2006
R. Ramlau
Auswuchten von rotierenden Systemen.
Univationen 02/2006, p. 6
L. Justen and R. Ramlau
A non-iterative regularization approach to blind deconvolution
Inverse Problems Vol. 22 (3): 771-800, 2006
R. Ramlau, V. Dicken, P. Maass, C. Streller and A. Rienäcker,
Erneuerbare Energien, Ausgabe 5, Mai 2006
R. Ramlau
Auswuchten von rotierenden Systemen.
Univationen 02/2006, p. 6
L. Justen and R. Ramlau
A non-iterative regularization approach to blind deconvolution
Inverse Problems Vol. 22 (3): 771-800, 2006
R. Ramlau, V. Dicken, P. Maass, C. Streller and A. Rienäcker,
Inverse Imbalance Reconstruction in Rotordynamics,
ZAMM Vol. 86 (5): 385-399, 2006
R. Ramlau and G. Teschke.
Tikhonov Replacement Functionals for Iteratively Solving Nonlinear Operator Equations,
Inverse Problems Vol. 21 (5): 1571-1592, 2005
R. Ramlau,
ZAMM Vol. 86 (5): 385-399, 2006
R. Ramlau and G. Teschke.
Tikhonov Replacement Functionals for Iteratively Solving Nonlinear Operator Equations,
Inverse Problems Vol. 21 (5): 1571-1592, 2005
R. Ramlau,
Journal for Inverse and Ill-Posed Problems Vol. 13(2): 175-200, 2005
V. Dicken, I. Menz, P. Maass, J. Niebsch and R. Ramlau,
V. Dicken, I. Menz, P. Maass, J. Niebsch and R. Ramlau,
Inverse imbalance reconstruction for nonlinearly damped systems,
Inverse Problems in Science and Engineering , Vol. 13 (5): 507-543, 2005
S. Fischer, O. Hansen and R. Ramlau,
Regularization of Mellin-type Inverse Problems with an application to oil engineering,
Linear Algebra and its Applications 391: 125-147, 2004
R. Ramlau and G. Teschke,
Inverse Problems in Science and Engineering , Vol. 13 (5): 507-543, 2005
S. Fischer, O. Hansen and R. Ramlau,
Regularization of Mellin-type Inverse Problems with an application to oil engineering,
Linear Algebra and its Applications 391: 125-147, 2004
R. Ramlau and G. Teschke,
Regularization of Sobolev Embedding Operators and Applications to Medical Imaging and Meteorological Data.
Part II: Regularization Incorporating Noise with Applications in Medical Imaging and Meteorological Data,
Sampling Theory in Signal and Image Processing Vol. 3 (3): 205-226, 2004
R. Ramlau and G. Teschke,
Part II: Regularization Incorporating Noise with Applications in Medical Imaging and Meteorological Data,
Sampling Theory in Signal and Image Processing Vol. 3 (3): 205-226, 2004
R. Ramlau and G. Teschke,
Regularization of Sobolev Embedding Operators and Applications to Medical Imaging and Meteorological Data.
Part I: Regularization of Sobolev Embedding Operators,
Sampling Theory in Signal and Image Processing Vol. 3 (2): 175-195, 2004
R. Ramlau,
Part I: Regularization of Sobolev Embedding Operators,
Sampling Theory in Signal and Image Processing Vol. 3 (2): 175-195, 2004
R. Ramlau,
Regularization of Nonlinear Ill-Posed Operator Equations: Methods and Applications,
Habilitationsschrift, Universität Bremen, 2003
R. Ramlau,
Habilitationsschrift, Universität Bremen, 2003
R. Ramlau,
Inverse Problems Vol. 19 (2): 433-465, 2003
V. Dicken, P. Maass, I. Menz, J. Niebsch, and R. Ramlau,
V. Dicken, P. Maass, I. Menz, J. Niebsch, and R. Ramlau,
In: Irretier et al., Schwingungen in rotierenden Maschinen, pages 123-132, Vieweg, 2003
F. Stenger, A.R. Nagsh-Nilshi, J. Niebsch and R. Ramlau,
F. Stenger, A.R. Nagsh-Nilshi, J. Niebsch and R. Ramlau,
Sampling methods for approximate solution of pde
In: M. Zuhair Nashed and Otmar Scherzer, editors, Inverse Problems, Image Analysis, and Medical Imaging,
Contemporary Mathematics 313, pages 199-249, American Mathematical Society, 2002
R. Ramlau,
In: M. Zuhair Nashed and Otmar Scherzer, editors, Inverse Problems, Image Analysis, and Medical Imaging,
Contemporary Mathematics 313, pages 199-249, American Mathematical Society, 2002
R. Ramlau,
Morozov's Discrepancy Principle for Tikhonov regularization of nonlinear operators,
Numerical Functional Analysis and Optimization Vol. 23 (1&2): 147-172, 2002
R. Ramlau,
Numerical Functional Analysis and Optimization Vol. 23 (1&2): 147-172, 2002
R. Ramlau,
A steepest descent algorithm for the global minimization of Tikhonov Phillips functional,
Inverse Problems Vol. 18 (2): 381-405, 2002
P. Maass, S.V. Pereverzev, R. Ramlau and S.G. Solodky,
Inverse Problems Vol. 18 (2): 381-405, 2002
P. Maass, S.V. Pereverzev, R. Ramlau and S.G. Solodky,
Numerische Mathematik 87(3): 485-502, 2001
R. Ramlau,
R. Ramlau,
Iterative solutions of multilinear ill-posed problems with an application to medical imaging,
In: GAMM '99 Annual Meeting, Z. angew. Math. Mech Vol. 80, Suppl.1: 241-244, 2000
R. Ramlau, R. Clackdoyle, F. Noo, G. Bal,
R. Ramlau, R. Clackdoyle, F. Noo, G. Bal,
Z. Angew. Math. Mech. 80(9): 613-621, 2000
R. Ramlau,
R. Ramlau,
Numerical Functional Analysis and Optimization, Vol. 20 (1&2): 79-98, 1999
R. Ramlau and R. Clackdoyle,
R. Ramlau and R. Clackdoyle,
Accurate attenuation correction in SPECT imaging using optimization of bilinear functions and assuming spatially-varying attenuation distribution,
Nuclear Science Symposium 1998 Conference Record. IEEE, Vol. 3: 1684-1688, 1998
R. Ramlau,
R. Ramlau,
Discretized Landweber iteration methods for nonlinear inverse problems,
In: GAMM '97 Annual Meeting, Z. angew. Math. Mech 78, Suppl. 1: 85-88, 1998
C. Bernutat, Ch. Böckmann and R. Ramlau,
C. Bernutat, Ch. Böckmann and R. Ramlau,
Examination of the nonlinear lidar-operator - an inverse ill-posed problem,
Proceedings of the 19th International Laser Radar Conference NASA/CP-1998-207671/PTI, 1998
R. Ramlau,
R. Ramlau,
Dissertation, Universität Potsdam, 1997
P. Maass and R. Ramlau,
P. Maass and R. Ramlau,
Accelerated iteration methods for inverse problems,
In: ICIAM '95-Sonderband, Z. angew. Math. Mech, Suppl. 1: 183-186, 1996
P. Maass and R. Ramlau,
P. Maass and R. Ramlau,
Int. Journal of Imaging Systems and Technology Vol. 7 (3): 191-199, 1996
R. Ramlau,
R. Ramlau,
Identification of optical thin film systems with the method of phase reconstruction,
Inverse Problems 12 (1): 77-87, 1996
Inverse Problems 12 (1): 77-87, 1996