Study guide of JKU Linz
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Artificial Intelligence
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Mathematics
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VL
Inverse problems
Versionsauswahl
Version
2024W
2023W
2022W
2018W
Es ist eine neuere Version
2024W
dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden.
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 2018W
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, The conjugate gradient method, Tikhonov regularization of nonlinear problems, Nonlinear iterative regularization methods
Criteria for evaluation
oral exam
Language
French and English
Study material
Lecture Notes
Changing subject?
No
Further information
(English on demand)
On-site course
Maximum number of participants
-
Assignment procedure
Direct assignment
