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Inverse Problems and Optimization
Category: Master Degree
Summary: 

The course will review the fundamentals and the main issues of inverse problems then focusing on classical/state‐of‐the‐art and recently introduced inverse solution procedures and algorithms. Applicative examples including software exercises will corroborate the theoretical concepts. More in details, the course is divided into four parts. The first part is devoted to introduce the students to the concept of inverse problems and to the general formulation of an inverse problem. The second part reviews the mathematical issues of inverse problems and the third part is aimed to teach the strategies to overcome such drawbacks. The last part presents how to deal with the solution of inverse problems through optimization methodologies.
In short, the course attendees will:



  1. learn about the basics of inverse problems;

  2. enhance their background on inverse problems;

  3. know about state‐of‐the art inversion algorithms;

  4. be informed about leading edge and more recent advances in inversion methodologies.

Topics: 4

Course Topics