Cari tutti,
vi giro le informazioni su un convegno molto interessante giratemi da Antonio De Simone. La deadline per la registrazione è oggi...
Cordialmente,
Luca.
> Begin forwarded message:
>
> From: Antonio De Simone <antonio.desimone(a)santannapisa.it>
> Subject: [Junk released by User action] Convegno al Centro De Giorgi: Morphogenesis and morphing, 200 years after Gauss
> Date: 10 September 2025 at 12:53:19 CEST
> To: Alessandro Tognetti <alessandro.tognetti(a)unipi.it>, Roberto Paroni <rob.paroni(a)gmail.com>, Simone Camarri <simone.camarri(a)unipi.it>, "luca.heltai(a)unipi.it" <luca.heltai(a)unipi.it>
>
> Cari Roberto, Alessandro, Simone, Luca,
>
> il 20-24 ottobre prossimi organizzo un convegno internazionale al Centro De Giorgi della Scuola Normale Superiore, insieme ai matematici:
>
> https://indico.sns.it/event/122/
> https://indico.sns.it/event/122/
>
> Sarà un convegno di alto livello, molto interdisciplinare e penso che potrebbe essere interessante per molti ricercatori e studenti a UniPI.
> Posso chiedervi la cortesia di diffondere questa informazione attraverso i canali della vostra università e dei vostri dipartimenti?
> Occorre registrarsi alla pagina web qui sotto:
>
> https://indico.sns.it/event/122/registrations/69/
>
> Ovviamente siete invitantissimi a partecipare.
> Grazie mille e cari saluti,
> Antonio
>
> *** English Version***
> International worship at Centro De Giorgi, Pisa
> 20-24 October 2025
> Morphogenesis and morphing, 200 years after Gauss:
>
> On October 20-24 there will be an interesting and high level international workshop at Centro De Giorgi (Scuola Normale Superiore, Pisa) entitled:
> Morphogenesis and morphing, 200 years after Gauss:
>
> https://indico.sns.it/event/122/
>
> Registration is required, via the following webpage:
>
> https://indico.sns.it/event/122/registrations/69/
>
> Thank you and best wishes,
> Antonio DeSimone
> ****
Cari colleghi,
Giovedì 22/5 alle 11:00 nell’aula magna dell’ex facoltà di Scienze, Nello Cristianini, professore di intelligenza artificiale all’ Università di Bath terrà una presentazione del suo libro "Machina Sapiens <https://www.mulino.it/isbn/9788815384461>” discutendo dei rischi e delle implicazioni dell'AI generativa.
Sarà un'ottima occasione per approfondire temi di grande attualità nel nostro campo con uno dei principali esperti dell'argomento, che li presenterà in modo accessibile. Vi incoraggio a partecipare e a contribuire alla discussione, invitando anche gli studenti del nostro corso di laurea.
Cordiali saluti,
Gianna
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Gianna M. Del Corso, PhD
Dipartimento di Informatica,
Università di Pisa
Largo Pontecorvo, 3 56127 Pisa, Italy
ph. +39-050-2213118
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Title: Optimal and Scalable Augmented Lagrangian preconditioners for Fictitious Domain problems,
Speaker(s): Federica Mugnaioni, Scuola Normale Superiore,
Date and time: 13 May 2025, 11:00 (Europe/Rome),
Lecture series: Seminar on Numerical Analysis,
Venue: Dipartimento di Matematica (Saletta Riunioni).
You can access the full event here: https://events.dm.unipi.it/e/321
Abstract
--------
One of the major drawbacks of using Fictitious Domain methods is the computational demands of solving the associated large-scale linear systems, both in terms of time and memory. To address this issue, we propose two augmented Lagrangian-based preconditioners for efficiently solving linear systems of equations with a block two-by-two and three-by-three structure arising from fictitious domain problems and from finite element discretizations of immersed boundary methods. We consider two relevant examples to illustrate the performance of these preconditioners when used in conjunction with flexible GMRES: the Poisson and the Stokes fictitious domain problems. We provide a detailed spectral analysis, deriving lower and upper bounds for the eigenvalues of the preconditioned matrix and showing their independence with respect to discretization parameters. Furthermore, we discuss the eigenvalue distribution when inexact versions of the preconditioners are employed. We show the effectiveness of the proposed approach and the robustness of our preconditioning strategies through extensive numerical tests in both two and three dimensions, using different immersed geometries.M. Benzi, M. Feder, L. Heltai and F. Mugnaioni. Optimal and Scalable Augmented Lagrangian preconditioners for Fictitious Domain problems. arXiv:2504.11339, 2025
Note
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A reminder of tomorrow's seminar.
--
Indico :: Email Notifier
https://events.dm.unipi.it/e/321
Title: Optimal and Scalable Augmented Lagrangian preconditioners for Fictitious Domain problems,
Speaker(s): Federica Mugnaioni, Scuola Normale Superiore,
Date and time: 13 May 2025, 11:00 (Europe/Rome),
Lecture series: Seminar on Numerical Analysis,
Venue: Dipartimento di Matematica (Saletta Riunioni).
You can access the full event here: https://events.dm.unipi.it/e/321
Abstract
--------
One of the major drawbacks of using Fictitious Domain methods is the computational demands of solving the associated large-scale linear systems, both in terms of time and memory. To address this issue, we propose two augmented Lagrangian-based preconditioners for efficiently solving linear systems of equations with a block two-by-two and three-by-three structure arising from fictitious domain problems and from finite element discretizations of immersed boundary methods. We consider two relevant examples to illustrate the performance of these preconditioners when used in conjunction with flexible GMRES: the Poisson and the Stokes fictitious domain problems. We provide a detailed spectral analysis, deriving lower and upper bounds for the eigenvalues of the preconditioned matrix and showing their independence with respect to discretization parameters. Furthermore, we discuss the eigenvalue distribution when inexact versions of the preconditioners are employed. We show the effectiveness of the proposed approach and the robustness of our preconditioning strategies through extensive numerical tests in both two and three dimensions, using different immersed geometries.M. Benzi, M. Feder, L. Heltai and F. Mugnaioni. Optimal and Scalable Augmented Lagrangian preconditioners for Fictitious Domain problems. arXiv:2504.11339, 2025
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Indico :: Email Notifier
https://events.dm.unipi.it/e/321
Good morning,
We would like to fix the date for the next NUMPI seminar in May. It will be a seminar held by Federica Mugnaioni (Ph.D. Scuola Normale Superiore) on the topic of preconditioners for discretization of fictitious domain problems.
Please reply with your availability for the days of May 12/13 and we will try to organize it at a time convenient for most of us: https://date.dm.unipi.it/Vh6AwjL3MKGWBESp
Best,
Fabio
Title: On inverse eigenvalue problems for multiple orthogonal polynomials,
Speaker(s): Raf Vandebril, KU Leuven,
Date and time: 14 Apr 2025, 11:30 (Europe/Rome),
Lecture series: Seminar on Numerical Analysis,
Venue: Dipartimento di Matematica (Saletta Riunioni).
You can access the full event here: https://events.dm.unipi.it/e/318
Abstract
--------
Multiple orthogonal polynomials (MOP's) arise in various applications, including approximation theory, random matrix theory, and numerical integration. To define MOP's, one needs multiple inner products, leading to two types of MOP’s, which are mutually biorthogonal. These MOP's satisfy recurrence relations, which can be linked to linear algebra, via discretization. As a result we get an inverse eigenvalue problem to retrieve the matrix of recurrences directly. We provide two algorithms for solving the inverse eigenvalue problem, one based on classical equivalence transformations and one linked to (block) Krylov methods. Numerical illustrations are provided to demonstrate correctness of the approach and also reveal the strong sensitivity of the problem.
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Indico :: Email Notifier
https://events.dm.unipi.it/e/318
Title: On inverse eigenvalue problems for multiple orthogonal polynomials,
Speaker(s): Raf Vandebril, KU Leuven,
Date and time: 14 Apr 2025, 11:30 (Europe/Rome),
Lecture series: Seminar on Numerical Analysis,
Venue: Dipartimento di Matematica (Saletta Riunioni).
You can access the full event here: https://events.dm.unipi.it/e/318
Abstract
--------
Multiple orthogonal polynomials (MOP's) arise in various applications, including approximation theory, random matrix theory, and numerical integration. To define MOP's, one needs multiple inner products, leading to two types of MOP’s, which are mutually biorthogonal. These MOP's satisfy recurrence relations, which can be linked to linear algebra, via discretization. As a result we get an inverse eigenvalue problem to retrieve the matrix of recurrences directly. We provide two algorithms for solving the inverse eigenvalue problem, one based on classical equivalence transformations and one linked to (block) Krylov methods. Numerical illustrations are provided to demonstrate correctness of the approach and also reveal the strong sensitivity of the problem.
--
Indico :: Email Notifier
https://events.dm.unipi.it/e/318
Title: Recent Progress in Steplengths in Gradient Methods for Unconstrained Optimization,
Speaker(s): Prof. Michiel Hochstenbach, Eindhoven University of Technology,
Date and time: Mar 27, 2025, 2:00 PM (Europe/Rome),
Lecture series: Seminar on Numerical Analysis,
Venue: Dipartimento di matematica (Aula riunioni).
You can access the full event here: https://events.dm.unipi.it/e/314
Abstract
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We review recent progress in stepsizes in gradient methods for unconstrained numerical optimization, for both quadratic and general nonlinear problems, including several very valuable contributions from Italian experts such as Prof. Zanni and colleagues. We will review Barzilai-Borwein steps and secant equations, and show developments in harmonic stepsizes and homogeneous secant equations. The key idea is that the steplength is selected as the inverse Ritz value of an average Hessian. For limited memory methods, we will address several challenges, including how to avoid negative or non-real stepsize candidates. We will also present some open problems. This talk reflects joint work with Giulia Ferrandi.
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Indico :: Email Notifier
https://events.dm.unipi.it/e/314