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Inverse Problems in Propagation-based X-ray Phase Contrast Imaging and Tomography: Stability Analysis and Reconstruction Methods

Maretzke, Simon (2019-06-12)

Variational regularization theory for sparsity promoting wavelet regularization

Miller, Philip (2022-01-31)

Bending energy regularization on shape spaces: a class of iterative methods on manifolds and applications to inverse obstacle problems

Eckhardt, Julian (2019-12-13)

Analysis of an Inverse Source Problem with Correlation Data in Experimental Aeroacoustics

Raumer, Hans-Georg (2021-08-19)

Algorithms for structured nonconvex optimization: theory and practice

Nguyen, Hieu Thao (2018-07-24)

Convergence rates for variational regularization of statistical inverse problems

Sprung, Benjamin (2020-05-13)

Convergence rates for variational regularization of inverse problems in exponential families

Yusufu, Simayi (2020-07-16)

New Algorithms for Local and Global Fiber Tractography in Diffusion-Weighted Magnetic Resonance Imaging

Schomburg, Helen (2017-11-28)

Nonlinear Reconstruction Methods for Parallel Magnetic Resonance Imaging

Uecker, Martin (2009-10-14)

Um die Messzeit in der Magnetresonanz-Tomographie zu reduzieren, werden sogenannte parallele Bildgebungstechniken genutzt, die eine unter-abgetastete Akquisition der Daten durch eine ...

Preconditioned Newton methods for ill-posed problems

Langer, Stefan (2007-09-05)

Wir betrachten vokonditionierte, regularisierte Newton Verfahren, die insbesondere zur effizienten Lösung nichtlinearer, schlecht gestellter Probleme geeignet sind.Im ersten Teil der Arbeit ...

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