651-4096-02L  Inverse Theory II: Applications

SemesterFrühjahrssemester 2021
DozierendeA. Fichtner, C. Böhm
Periodizitätjährlich wiederkehrende Veranstaltung
KommentarVoraussetzung: Erfolgreicher Abschluss von 651-4096-00L Inverse Theory I: Basics.


651-4096-02 GInverse Theory II: Applications28s Std.
Mi/208:15-12:00NO F 11 »
A. Fichtner, C. Böhm


KurzbeschreibungThis second part of the course on Inverse Theory provides an introduction to the numerical solution of large-scale inverse problems. Specific examples are drawn from different areas of geophysics and image processing. Students solve various model problems using python and jupyter notebooks, and familiarize themselves with relevant open-source libraries and commercial software.
LernzielThis course provides numerical tools and recipes to solve (non)-linear inverse problems arising in nearly all fields of science and engineering. After successful completion of the class, the students will have a thorough understanding of suitable solution algorithms, common challenges and possible mitigations to infer parameters that govern large-scale physical systems from sparse data measurements.

Prerequisites for this course are (i) 651-4096-00L Inverse Theory: Basics, (ii) basic programming skills.
InhaltThe class discusses several important concepts to solve (non)-linear inverse problems and demonstrates how to apply them to real-world data applications. All sessions are split into a lecture part in the first half, followed by tutorials using python and jupyter notebooks in the second. The range of covered topics include:

1. Regularization filters and image deblurring
2. Travel-time tomography
3. Line-search methods
4. Time reversal and Born’s approximation
5. Adjoint methods
6. Full-waveform inversion
SkriptPresentation slides and some background material will be provided.
Voraussetzungen / BesonderesThis course is offered as a half-semester course during the second part of the semester


Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte3 KP
PrüfendeA. Fichtner, C. Böhm
Formbenotete Semesterleistung
RepetitionRepetition ohne erneute Belegung der Lerneinheit möglich.
Zusatzinformation zum PrüfungsmodusReports on 5 out of 6 projects


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Es werden nur die öffentlichen Lernmaterialien aufgeführt.


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