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- Info
Publications
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DK Report 2018-04, S. Hubmer and R. Ramlau
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Nesterov’s Accelerated Gradient Method for Nonlinear Ill-Posed Problems with a Locally Convex Residual Functional
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DK-Report 2016-06, S. Hubmer and R. Ramlau
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Convergence Analysis of a Two-Point Gradient Method for Nonlinear Ill-Posed Problems
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DK Report 2018-05, S. Hubmer, E. Sherina, A. Neubauer and O. Scherzer
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Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems
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DK-Report 2016-05, S. Hubmer, A. Neubauer, R. Ramlau and H. U. Voss
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On the Parameter Estimation Problem of Magnetic Resonance Advection Imaging
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S. Hubmer. Fast Gradient-Based Iterative Regularization Methods for Nonlinear Ill-Posed Problems - Theory and Applications.
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PhD Thesis, submitted 2018. Examiners: Prof. Ramlau, Prof. Hofmann.
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S. Hubmer and A. Neubauer and R. Ramlau and H. U. Voss. On the parameter estimation problem of magnetic resonance advection imaging.
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Inverse Problems and Imaging, 2018, 12(1): 175-204.
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