ELEDIA@UniTN

ELEDIA Turns 20!
ELEDIA Turns 20! It was back in October-November 2000 that the ELEDIA brand began to circulate in an official form…
ELEDIA Artificial Intelligence Research Blog is online!
The ELEDIA Artificial Intelligence Research Blog (E-AIR Blog) has been launched! Check out our latest advancements on Artificial Intelligence as applied…
Dr. R. J. MAILLOUX awarded "Bruno Kessler" Honorary Professor
The ELEDIA Research Center is pleased to announce that Dr. Robert J. MAILLOUX will receive the title of Honorary Professor…
Inverse Problems and Optimization
Category: Master Degree
Summary: 

The course will review fundamentals and main issues of inverse problems then focusing on classical/state-of-the-art and recently introduced inverse solution procedures and algorithms and their use through a professional optimization framework. Applicative examples including exercises will corroborate the theoretical concepts. The first part is devoted to introduce the students to the concept of inverse problems and to their general formulation. 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 methods;

  5. use of professional optimization tools for the solution of inverse problems..

Topics: 4

Course Topics