A convergent overlapping domain decomposition method for total variation minimization. - Massimo Fornasier; Andreas Langer; Carola-Bibiane Schönlieb (Numerische Mathematik, 2010)

On the syntomic regulator for products of elliptic curves. - Andreas Langer (J. Lond. Math. Soc., 2011)

Wavelet Decomposition Method for L2//TV-Image Deblurring. - Massimo Fornasier; Yunho Kim; Andreas Langer; Carola-Bibiane Schönlieb (SIAM J. Imaging Sci., 2012)

Bregmanized Domain Decomposition for Image Restoration. - Andreas Langer; Stanley J. Osher; Carola-Bibiane Schönlieb (J. Sci. Comput., 2013)

Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed L1/L2 Data-Fidelity in Image Processing. - Michael Hintermüller; Andreas Langer (SIAM J. Imaging Sci., 2013)

9.2 A single-chip HSPA transceiver with fully integrated 3G CMOS power amplifiers. - José Moreira; Stephan Leuschner; Nenad Stevanovic; Harald Pretl; Peter Pfann; Ronald Thüringer; Martin Kastner; Christian Proll; Andreas Schwarz; Florian Mrugalla; Jimena Saporiti; Umut Basaran; et al. (ISSCC, 2015)

Non-Overlapping Domain Decomposition Methods For Dual Total Variation Based Image Denoising. - Michael Hintermüller; Andreas Langer (J. Sci. Comput., 2015)

Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests. - Michael Hintermüller; Carlos N. Rautenberg; Tao Wu 006; Andreas Langer (J. Math. Imaging Vis., 2017)

Automated Parameter Selection for Total Variation Minimization in Image Restoration. - Andreas Langer (J. Math. Imaging Vis., 2017)

Investigating the Influence of Box-Constraints on the Solution of a Total Variation Model via an Efficient Primal-Dual Method. - Andreas Langer (J. Imaging, 2018)

Locally adaptive total variation for removing mixed Gaussian-impulse noise. - Andreas Langer (Int. J. Comput. Math., 2019)

Overlapping Domain Decomposition Methods for Total Variation Denoising. - Andreas Langer; Fernando Gaspoz (SIAM J. Numer. Anal., 2019)

A General Decomposition Method for a Convex Problem Related to Total Variation Minimization. - Stephan Hilb; Andreas Langer (CoRR, 2022)

A Primal-Dual Finite Element Method for Scalar and Vectorial Total Variation Minimization. - Stephan Hilb; Andreas Langer; Martin Alkämper (J. Sci. Comput., 2023)

A primal-dual adaptive finite element method for total variation based motion estimation. - Martin Alkämper; Stephan Hilb; Andreas Langer (CoRR, 2024)

DeepTV: A neural network approach for total variation minimization. - Andreas Langer; Sara Behnamian (CoRR, 2024)

An Adaptive Finite Difference Method for Total Variation Minimization. - Thomas Jacumin; Andreas Langer (CoRR, 2024)