[ 403MAMOINPV22 ] VL Inverse problems

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Mathematics Andreas Neubauer 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Industrial Mathematics 2023W
Objectives Introduction to inverse and ill-posed problems
Subject 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