MAT-52506 INVERSE PROBLEMS, 6 cr
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Courses persons responsible
Samuli Siltanen
Language of Instruction
If one or more students do not speak Finnish, then all teaching is given in English.
Implementations
Person responsible: |
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Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Lecture | 4 h/week | 4 h/week | - | - | - | - |
Exercise | 2 h/week | 1 h/week | - | - | - | - |
Exercise work | - | 2 h/week | - | - | - | - |
Exam |
Objectives
Examples of inverse problems include medical imaging (CT, MRI), underground prospecting for ores using electrical measurements,
recovering the shape of an asteroid from lightcurve observations, and sharpening a blurred photograph. These problems are sensitive to measurement errors: straightforward inversion attempts lead to failure. Therefore spezialized solution methods are needed. This course gives an overview of classical and modern solution methods for inverse problems. Both theory and computer implementation are discussed, and the methods are demonstrated with practical inverse problems involving measured data.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Inversion of Radon transform of 3D X-ray tomography. |   | |
2. | Singular value decomposition of a matrix and solution by SVD truncation. Classical and generalized Tikhonov regularization. |   | |
3. | Total variation regularization with emphasis on implementation issues. |   | |
4. | Introduction to statistical (Bayesian) inversion. Theory and implementation of Monte Carlo Markov Chain methods. |   | |
5. | Practical applications to medical imaging and signal processing. |   |
Requirements for completing the course
Passed exam, sufficient activity in exercises, accepted Matlab project work.
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Lecture slides | Inverse Problems | Fox, Nicholls, Tan | http://www.math.auckland.ac.nz/%7Ephy707/ | No | English | ||
Online book | Inversio-ongelmat | Erkki Somersalo | http://www.math.hut.fi/teaching/invvanha/indexvanha.html.fi | No | Finnish | ||
Lecture slides | Käänteiset ongelmat | Jari Kaipio | http://venda.uku.fi/studies/virtual/KON/KON1/lectures/main.pdf | No | Finnish | ||
Lecture slides | Inverse Problems | Samuli Siltanen | http://matriisi.ee.tut.fi/courses/MAT-52500/course.html | Yes | English |
Prerequisites
Prequisite relations (Sign up to TUT Intranet required)
Remarks
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- Contact teaching: 80 %
- Distance learning: 0 %
- Proportion of a student's independent study: 20 %
Correspondence of content
MAT-52500 Inverse Problems
Last modified | 09.02.2007 |
Modified by | Samuli Siltanen |