Introduction to Inverse Problems
Prof. Antonio Emolo 12 hours – 3 CFU
When: 2022, Feb 28, Mar 1, 2 and 3, from 9.30 to 12.30
Where: room GE04 @DiSTAR (Building L3, ground floor)
Description of the Course
The course aims at providing fundamental understanding of parameter estimation and inverse problem philosophy and methodologies.
Theoretical aspects come with illustrative examples implemented numerically.
Main topics covered in the course are inverse problems characterization, L2 and L1 linear regression, Singular Value Decomposition, linearized inverse problems, numerical optimization techniques.
Prerequisites
Familiarity with linear algebra, differential equations, probability and statistics, and calculus
The course aims at providing fundamental understanding of parameter estimation and inverse problem philosophy and methodologies.
Theoretical aspects come with illustrative examples implemented numerically.
Main topics covered in the course are inverse problems characterization, L2 and L1 linear regression, Singular Value Decomposition, linearized inverse problems, numerical optimization techniques.
Prerequisites
Familiarity with linear algebra, differential equations, probability and statistics, and calculus