Enrolment options
![](https://elearning.di.unipi.it/pluginfile.php/81837/course/overviewfiles/SVMprob6.jpg)
The
course aims at providing the mathematical foundations for some of the
main computational approaches to Learning, Data Analysis and Artificial
Intelligence. These comprise techniques and methods for the numerical
solution of
systems of linear and nonlinear equations and related problems (e.g.,
computation of eigenvalues), as well as methods for the solution of
constrained and unconstrained optimization problems. This requires the
understanding of the
connections between techniques of numerical analysis and
optimization algorithms. The course focuses on presenting the main
algorithmic approaches and the underlying mathematical concepts, with
attention to the implementation aspects. Hence, use of typical
mathematical environments (e.g., Matlab and Octave) and available
solvers/libraries is discussed throughout the course.
- Teacher: ANTONIO FRANGIONI