November 2025 - NumPI - Mailing list — Dipartimento di Matematica, UniPI

HPSC Colloquia - Darya Majidi - L’Intelligenza Artificiale per costruire un futuro digitale, etico, ed inclusivo
by Fabio Durastante 13 Nov '25

13 Nov '25

Inizia il ciclo di incontri “HPSC Colloquia”, organizzato dal dottorato in "High Performance Scientific Computing”, in collaborazione con il ciclo di incontri "Matematici al Lavoro", in cui I nostri studenti hanno l'opportunità di confrontarsi con professionisti e scoprire le diverse carriere verso cui i percorsi formativi del nostro ateneo possono portare. Scrivo per ricordarvi del prossimo appuntamento, che sarà Mercoledì 19 Novembre alle ore 11:00 nell'Aula Magna del Dipartimento di Matematica, e online al link: https://meetings.dm.unipi.it/b/luc-bw9-xim-ayo Ospite dell'incontro sarà Darya Majidi, President UN Women Italy - Fortune Italia Most Powerful Women 2023 - CEO Daxo Group - Founder Donne 4.0 - Italian/Iranian Entrepreneur with 30 years in digital transformation & AI - Board Member - Speaker - Author. Darya terrà una conferenza dal titolo: "L’Intelligenza Artificiale per costruire un futuro digitale, etico, ed inclusivo" (di cui l'abstract è riportato sotto) L'incontro si concluderà con un dibattito e una sessione di domande e risposte, un momento prezioso per interagire direttamente con l'ospite. Tutti gli interessati sono caldamente invitati a partecipare. Non esitate a rispondere a questa email per ulteriori informazioni. Cordiali Saluti per HPSC: Luca Heltai, Giuseppe Felici per Matematici al lavoro: Stefano Galatolo, Silvia Gazzola, Marco Romito Titolo: "L’Intelligenza Artificiale per costruire un futuro digitale, etico, ed inclusivo” ABSTRACT L’intelligenza artificiale rappresenta una delle più potenti trasformazioni della nostra epoca, capace di ridefinire non solo i modelli economici e scientifici, ma anche i valori fondamentali che orientano le società umane. L’intervento propone una riflessione sulla costruzione di un’intelligenza artificiale al servizio dell’uomo, etica, trasparente e inclusiva. Verranno affrontati i temi di machine learning, reti neurali, etica, bias nei dati e e dell’importanza di un approccio multidisciplinare che integri competenze tecniche, etiche e sociali. L’obiettivo è stimolare nei ricercatori una consapevolezza critica e un impegno attivo nella progettazione di tecnologie che promuovano equità, sostenibilità e rispetto dei diritti umani.

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[Indico] Kai Bergermann, Numerical linear algebra meets multiplex networks, 13/11/2025, 11:00 Europe/Rome
by fabio.durastante＠unipi.it 12 Nov '25

12 Nov '25

Title: Numerical linear algebra meets multiplex networks, Speaker(s): Kai Bergermann, Scuola Normale Superiore, Date and time: 13 Nov 2025, 11:00 (Europe/Rome), Lecture series: Seminar on Numerical Analysis, Venue: Department of Mathematics (Sala Riunioni). You can access the full event here: https://events.dm.unipi.it/e/329 Abstract -------- Multiplex networks are used to model complex systems from myriad applications. They generalize classical complex networks by recording different types of relationships, different interactions, or changing interactions over time between the same entities in different layers. They possess natural linear algebraic representations in terms of structured matrices, which makes efficient numerical linear algebra techniques a valuable tool for their analysis. In this talk, I will present contributions to multiplex network analysis relying on matrix function approximation and nonlinear spectral methods. I will discuss centrality measures, the solution of stiff systems of non-linear differential equations with exponential Runge--Kutta integrators, un- and semi-supervised community detection, and core-periphery detection. All presented methods have a linear runtime scaling, which allows the treatment of large-scale multiplex networks and numerical experiments for all considered problems will be presented. -- Indico :: Email Notifier https://events.dm.unipi.it/e/329

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[Indico] Prof. Luca Heltai, An overview of non-matching coupling algorithm for High Performance Finite Element Applications, 11/11/2025, 14:00 Europe/Rome
by fabio.durastante＠unipi.it 10 Nov '25

10 Nov '25

Title: An overview of non-matching coupling algorithm for High Performance Finite Element Applications, Speaker(s): Prof. Luca Heltai, Università di Pisa, Date and time: 11 Nov 2025, 14:00 (Europe/Rome), Lecture series: Seminar on Numerical Analysis, Venue: Dipartimento di Matematica (Aula Seminari). Address: Largo Bruno Pontecorvo, 5, 56127 Pisa PI You can access the full event here: https://events.dm.unipi.it/e/333 Abstract -------- This seminar presents an overview of non-matching coupling algorithms for high-performance finite element applications, with emphasis on implementation and preconditioning aspects. We address ficitious domain, immersed boundary, and mixed-dimensional problems on non-matching grids, as arise in coupled PDE systems defined on heterogeneous domains. We derive different formulations and show how most of them can be traced back to variations or stabilizations of the Lagrange multiplier and distributed Lagrange multiplier frameworks. We discuss various implementation aspects of the problem, including exact and inexact integration across non-matching grids, matrix based and matrix-free transfer operators, particle-based transfer operators, and discuss briefly some augmented Lagrangian-based preconditioners, designed to yield optimal and scalable convergence properties when used in conjunction with iterative Krylov solvers. Finally, we discuss what is the current status of the implementation for these solvers within the deal.II finite element library. StreamingThe seminar will also be broadcast online at the link: https://meetings.dm.unipi.it/b/luc-kwc-keb-p9k Note ---- Reminder -- Indico :: Email Notifier https://events.dm.unipi.it/e/333

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[Indico] Prof. Luca Heltai, An overview of non-matching coupling algorithm for High Performance Finite Element Applications, 11/11/25, 2:00 PM Europe/Rome
by fabio.durastante＠unipi.it 06 Nov '25

06 Nov '25

Title: An overview of non-matching coupling algorithm for High Performance Finite Element Applications, Speaker(s): Prof. Luca Heltai, Università di Pisa, Date and time: Nov 11, 2025, 2:00 PM (Europe/Rome), Lecture series: Seminar on Numerical Analysis, Venue: Dipartimento di Matematica (Aula Seminari). Address: Largo Bruno Pontecorvo, 5, 56127 Pisa PI You can access the full event here: https://events.dm.unipi.it/e/333 Abstract -------- This seminar presents an overview of non-matching coupling algorithms for high-performance finite element applications, with emphasis on implementation and preconditioning aspects. We address ficitious domain, immersed boundary, and mixed-dimensional problems on non-matching grids, as arise in coupled PDE systems defined on heterogeneous domains. We derive different formulations and show how most of them can be traced back to variations or stabilizations of the Lagrange multiplier and distributed Lagrange multiplier frameworks. We discuss various implementation aspects of the problem, including exact and inexact integration across non-matching grids, matrix based and matrix-free transfer operators, particle-based transfer operators, and discuss briefly some augmented Lagrangian-based preconditioners, designed to yield optimal and scalable convergence properties when used in conjunction with iterative Krylov solvers. Finally, we discuss what is the current status of the implementation for these solvers within the deal.II finite element library. StreamingThe seminar will also be broadcast online at the link: https://meetings.dm.unipi.it/b/luc-kwc-keb-p9k -- Indico :: Email Notifier https://events.dm.unipi.it/e/333

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[Indico] Kai Bergermann, Numerical linear algebra meets multiplex networks, 13/11/2025, 11:00 Europe/Rome
by fabio.durastante＠unipi.it 03 Nov '25

03 Nov '25

Title: Numerical linear algebra meets multiplex networks, Speaker(s): Kai Bergermann, Scuola Normale Superiore, Date and time: 13 Nov 2025, 11:00 (Europe/Rome), Lecture series: Seminar on Numerical Analysis, Venue: Department of Mathematics (Sala Riunioni). You can access the full event here: https://events.dm.unipi.it/e/329 Abstract -------- Multiplex networks are used to model complex systems from myriad applications. They generalize classical complex networks by recording different types of relationships, different interactions, or changing interactions over time between the same entities in different layers. They possess natural linear algebraic representations in terms of structured matrices, which makes efficient numerical linear algebra techniques a valuable tool for their analysis. In this talk, I will present contributions to multiplex network analysis relying on matrix function approximation and nonlinear spectral methods. I will discuss centrality measures, the solution of stiff systems of non-linear differential equations with exponential Runge--Kutta integrators, un- and semi-supervised community detection, and core-periphery detection. All presented methods have a linear runtime scaling, which allows the treatment of large-scale multiplex networks and numerical experiments for all considered problems will be presented. -- Indico :: Email Notifier https://events.dm.unipi.it/e/329

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