Inhalt

[ 403MAMOINPV22 ] VL Inverse problems

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mathematics Andreas Neubauer 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Industrial Mathematics 2025W
Learning Outcomes
Competences
The students know how to deal with ill-posed and inverse problems using different regularization methods.
Skills Knowledge
  • Understand the difference between well- and ill-posed problems
  • Deal with different regularization methods for linear and ill-posed problems
  • Understand and check necessary conditions to obtain convergence rates for regularization methods
Examples of inverse problems, ill-posed linear operator equations, regularization operators, continuous regularization methods, Tikhonov regularization, iterative regularization methods, conjugate gradient method, Tikhonov regularization of nonlinear problems, nonlinear iterative regularization methods
Criteria for evaluation Oral exam
Methods Blackboard presentation
Language English
Study material Lecture Notes
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
TMBPAVOINVE: VO Inverse problems (2005S-2022S)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment