Scientific School
Advanced numerical techniques for inverse problems,
with applications in imaging science and applied geophysics
Cagliari, July 17-21, 2017
Main Course (20 hrs)
Title: Numerical Linear Algebra for Discrete Ill-Posed Problem.
Instructor: Lothar Reichel, Kent State University, USA.
Timetable: Monday to Friday, 9:00-12:30
Abstract
It is the aim of this course to provide the background of Numerical
Linear Algebra needed to successfully
solve discrete ill-posed problems.
Exercises, that include programming in MATLAB, complement the course.
Short courses (3 hrs each)
Title: Iterative thresholding algorithms for sparse reconstructions with
application to image deblurring.
Instructor: Marco Donatelli, University of Insubria, Italy.
Timetable: Monday, 14:30-17:30
Title: Enhancing sparsity beyond convexity: applications to the restoration
of barcode images and
segmentation of medical images.
Instructor: Fiorella Sgallari, University of Bologna, Italy.
Timetable: Tuesday, 14:30-17:30
Title: Regularization in functional Banach spaces for image restoration and
subsurface prospecting.
Instructor: Claudio Estatico, University of Genova, Italy.
Timetable: Wednesday, 14:30-17:30
Title: Stochastic methods for the solution of inverse problems.
Instructor: Daniel Gerth, TU Chemnitz, Germany.
Timetable: Thursday, 14:30-17:30
Title: Some examples of inverse problems in geophysics.
Instructor: Giulio Vignoli, University of Cagliari, Italy.
Timetable: Friday, 14:30-17:30
Seminar
Title: Vector extrapolation and ill-posed problems
Instructor: Hassane Sadok, Université du Littoral, France.