The following seminar will take place next week; Lauri Nyman and Vanni
Noferini from Aalto University are visiting the department of computer
science in that week.
Title: Riemann-Oracle: A framework for matrix nearness problems
Speaker: Lauri Nyman, Aalto University, Espoo, Finland
Where: Sala Seminari Est, Dipartimento di Informatica
When: Tuesday December 10, 2024; 16:00
Abstract:
In this talk, we propose a versatile approach for addressing a large
family of matrix nearness problems. In these problems, the task is to
find a matrix nearest to a given one that satisfies a desired
constraint. The method is based on splitting a matrix nearness problem
into two nested optimization problems, of which the inner one can be
solved cheaply and exactly, while the outer one can be recast as an
unconstrained optimization task over a smooth real Riemannian manifold.
We also show that the objective function to be minimized on the
Riemannian manifold can be discontinuous, thus requiring regularization
techniques, and we give conditions for this to happen. Finally, we
demonstrate the practical applicability of our method by implementing it
for a number of matrix nearness problems that are relevant for
applications, including nearest singular matrix with a given sparsity
structure, nearest singular matrix polynomial, approximate GCD and
nearest unstable matrix.
--
--Federico Poloni
Dipartimento di Informatica, Università di Pisa
https://www.di.unipi.it/~fpoloni/ tel:+39-050-2213143
Dear all,
please share the following information with possible candidates, and to colleagues that may know of possible candidates.
Thanks!
Luca.
Numerical Analysis Group @ University of Pisa
Start Date: March 1st
Application Deadline: January 24th
Application Portal: <https://bandi.unipi.it/public/Bandi/Detail/150eaadb-8fec-4fc5-acb6-593dc7a2…>
The University of Pisa invites applications for a short-term Research Associate position within the dealii-X project. This role, based in the Department of Mathematics, will concentrate on Numerical Analysis and the creation of advanced numerical tools for high-performance simulations using the deal.II library.
The dealii-X project aims to create an Exascale Framework for Digital Twins of the Human Body. This initiative seeks to enhance personalized medicine through sophisticated computational models, enabling scalable and detailed simulations of human organs.
We are looking for dynamic individuals with a strong scientific CV relevant to numerical analysis and simulations (a Master degree in a scientific subject is mandatory, a PhD is a plus). The successful candidate will work on the development and optimization of numerical tools for high-performance simulations in the deal.II library, focusing on meshing techniques, advanced coupling methods, non-matching techniques, reduced order methods, and large scale preconditioning techniques. The role will involve a tight collaboration with other international teams and team members, contributing to the development of the deal.II library.
Key information:
- Research Focus: Development and optimization of numerical tools for high-performance simulations in the deal.II library
- Department of Mathematics, University of Pisa
- Numerical Analysis and High Performance Scientific Computing
- Contract Duration: 24 months
- Gross Annual Salary: €32,427.96
- Application Deadline: 24th January 2025
- Starting Date: 1st March 2025 or as soon as possible thereafter