This course is a comprehensive treatment of numerical linear algebra from the standpoint of practice that is essential for computational scientists and engineers. It now includes: • fast transforms • parallel LU • discrete Poisson solvers • pseudospectra • structured linear equation problems • structured eigenvalue problems • large-scale SVD methods • polynomial eigenvalue problems

Temps présentiel : 37.5 heures

Charge de travail étudiant : 150 heures

Méthode(s) d'évaluation : Examen écrit