Numerical solution of saddle point problems with applications to Optimal Transport

POSTPONED TO SUMMER 2021 DUE TO COVID-19 EMERGENCY

 

This course will cover state-of-the-art methods for the solution of large-scale saddle point problems. Such problems arise frequently throughout computational science and engineering, for example in computational fluid mechanics and in optimization. The main emphasis of the course will be the design and analysis of preconditioners for the iterative solution of saddle point systems via Krylov subspace methods. Part of the course will be devoted to the numerical solution of problems arising in Optimal Transport.

The lessons will be held from 13 September to 19 September 2020

 

NUMERICAL SOLUTION OF SADDLE POINT PROBLEMS WITH APPLICATIONS TO OPTIMAL TRANSPORT

13 September to 19 September 2020

Lecturer 1 Lecturer 2 Abstract

Michele Benzi

SCUOLA NORMALE SUPERIORE, PISA

Enrico Facca

SCUOLA NORMALE SUPERIORE, PISA

pdf

 

Download the Guide for the Palazzone