Andreas Neubauer

Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable und...

Tikhonov-regularization of Ill-posed Linear Operator Equations on Closed Convex Sets

...

Eltanexor Effectively Reduces Viability of Glioblastoma and Glioblastoma Stem-Like Cells at Nano-Molar Concentrations and Sensitizes to Radiotherapy and Temozolomide

...

Tikhonov Regularization of Nonlinear Differential-algebraic Equations

...

Design of a 3D-reflector for the Near Field Problem

A Nonlinear Inverse Problem

...

On Convergence Rates for the Iteratively Regularized Gauss-Newton Method

...

In Vivo Kinetics of Early, Non-random Methylome and Transcriptome Changes Induced by DNA-hypomethylating Treatment in Primary AML Blasts

Abstract: Despite routine use of DNA-hypomethylating agents (HMAs) in AML/MDS therapy, their mechanisms of action are not yet unraveled. Pleiotropic e...

A Convergence Rate Result for a Steepest Descent Method and a Minimal Error Method for the Solution of Nonlinear Ill-posed Problems

...

Inter-individual Differences in Within-person Effects

Methodological Considerations and an Empirical Example in the Framework of Self-determination Theory

...