Books sections

  • R. Klein, T. Schuster and A. Wald. Sequential subspace optimization for recovering stored energy functions in hyperelastic materials from time-dependent data. In Time-dependent problems in Imaging and Parameter Identification, B. Kaltenbacher, T. Schuster, A. Wald (Eds.), Springer, 2021.
  • B. Kaltenbacher, T.T.N. Nguyen, A. Wald and T. Schuster. Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging. In Time-dependent problems in Imaging and Parameter Identification, B. Kaltenbacher, T. Schuster, A. Wald (Eds.), Springer, 2021.
  • E.Y. Derevtsov, Y.S. Volkov and T. Schuster. Integral operators at settings and investigations of tensor tomography problems. Continuum Mechanics, Applied Mathematics and Scientic Computing: Godunov's Legacy, G.V. Demidenko, E. Romenski, E. Toro, M. Dumbser (Eds.), Springer, 2020.
  • T. Schuster. The importance of the Radon transform in vector field tomography. In The first 100 years of the Radon Transform, R. Ramlau, O. Scherzer (Eds.), Springer, 2019.
  • A. Wald and T. Schuster. Tomographic terahertz imaging using sequential subspace optimization. In New Trends in Parameter Identification for Mathematical Models, B. Hofmann, A. Leitao, J. Zubelli (Eds.), Birkhäuser / Springer, 2018.
  • N. Kong, A. Sanders, M. Rösner, R. Friedrich, F. Dirksen, E. Bauma, T. Schuster, R. Lammering and J.P.~Wulfsberg. Functional integrated feed-units based on flexible mechanisms in small machine tools for small workpieces. In Small Machine Tools for Small Workpieces, J.P. Wulfsberg, A. Sanders (Eds.), Series: Lecture Notes in Production Engineering, Springer, 2017.
  • T. Schuster. 20 Years of Imaging in Vector Field Tomography: A Review. In Mathematical Methods in Biomedical Imaging and Intensity-Modulated Radiation Therapy (IMRT), Y. Censor, M. Jiang, A. K. Louis (Eds.), Series: Publications of the Scuola Normale Superiore, CRM Series , Vol. 7, Birkhäuser, 2008.