• Adresse:
  Goethe-Universität
  Mathematik und Informatik
  Postfach 111932
  D-60054 Frankfurt/Main, Deutschland

• Raum:
  103a
  Robert-Mayer-Straße 10
  D-60325 Frankfurt am Main

• Telefon:
  (+49)(0)69/798-22715

• Email:
  jahn@math.uni-frankfurt.de

Publikationen:

• T. Jahn: Optimal Convergence of the Discrepancy Principle for polynomially and exponentially ill-posed Operators under White Noise
   
• T. Jahn: A modified discrepancy principle to attain optimal convergence rates under unknown noise
  Inverse Problems 37(9), 2021. (https://iopscience.iop.org/article/10.1088/1361-6420/ac1775)
   
• B. Harrach, T. Jahn, R. Potthast: Regularising linear inverse problems under unknown non-Gaussian white noise (arXiv:2010.04519)
   
• T. Jahn, B. Jin: On the Discrepancy Pinciple for Stochastic Gradient Descent
  Inverse Problems 36(9), 2020. (https://doi.org/10.1088/1361-6420/abaa58)
   
• B. Harrach, T. Jahn, R. Potthast: Beyond the Bakushinkii veto: Regularising linear inverse problems without knowing the noise distribution
  Numer. Math. 145(3), 581-603, 2020. (https://doi.org/10.1007/s00211-020-01122-2)
   
• B. Sandor, T. Jahn, L. Martin, C. Gros: The Sensorimotor Loop as a Dynamical System: How Regular Motion Primitives May Emerge from Self-Organized Limit Cycles
  Frontiers in Robotics and AI 2, 31, 2015.
   

Lehre:

• Wintersemester 2020/21:
  • Optimierung und inverse Probleme
• Sommersemester 2020:
  • Numerik von Differentialgleichungen
• Wintersemester 2019/20:
  • Kurs Numerisches Programmieren
  • Numerische Mathematik
• Sommersemester 2019:
  • Numerik von Differentialgleichungen
• Wintersemester 2018/19:
  • Optimierung und inverse Probleme
• Sommersemester 2018:
  • Numerik von Differentialgleichungen
• Wintersemester 2017/18:
  • Kurs Numerisches Programmieren
  • Numerik partieller Differentialgleichungen
• Sommersemester 2017:
  • Fortgeschrittene Optimierung und inverse Probleme
• Wintersemester 2016/17:
  • Optimierung und inverse Probleme