Dipartimento di Matematica

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Direttore: Prof. Giulio Magli

Direttore Vicario: Prof. Gabriele Grillo

Responsabile Gestionale: Dr.ssa Franca Di Censo

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Bandi di concorso

Bando di Concorso per Borsa di Studio

Decreto Approvazione Atti relativi alla Procedura di Valutazione Comparativa del Concorso Internazionale per l’Assegnazione di n. 1 Borsa di Studio “Nicola Bruti Liberati” per studi in Finanza Matematica – Anno 2021”
Nicola Bruti Liberati Scholarship for studies in Financial Mathematics - Year 2021
Director Decree (Index n° 5021/2022 Ref. n° 127421 issued on May 19, 2022), concerning the Approval of the Minutes of the Selection

see the University Official Register (Albo Ufficiale di Ateneo) n.
dated

Decreto Approvazione Atti Prot. .pdf (152 KB)

Bando di Concorso per incarico di Ricerca

DMAT - Decreto di approvazione atti relativo alla procedura comparativa per il conferimento di 1 incarico di collaborazione presso il Dipartimento di Matematica per “Misconcezioni e difficoltà in matematica degli studenti di Ingegneria” - Bandita con provvedimento Rep. n. 2922 Prot. n. 81446 del 21/03/2022

Decreto Approvazione Atti PUBBL.pdf (202 KB)

Bando di Concorso per incarico di Ricerca

DMAT - BANDO DELLA PROCEDURA DI VALUTAZIONE COMPARATIVA PER IL CONFERIMENTO DI UN INCARICO DI COLLABORAZIONE DI NATURA AUTONOMA PRESSO IL DIPARTIMENTO DI MATEMATICA PER ATTIVITA’ DAL TITOLO “ANALISI DEGLI INDICATORI ESG DELLE SOCIETA’ QUOTATE ITALIANE”

Scadenza: 27 maggio 2022
Data del colloquio: 8 giugno 2022

Bando ESG pubbl.pdf (326 KB)

Bando di Concorso per incarico Didattico

DMAT_DECRETO DI APPROVAZIONE ATTI DELLA PROCEDURA DI SELEZIONE PER IL CONFERIMENTO DI INCARICHI DI SUPPORTO ALLA DIDATTICA POST-COVID 4a A FAVORE DEI CORSI DI STUDIO DEL POLITECNICO DI MILANO DIPARTIMENTO DI MATEMATICA ANNO ACCADEMICO 2021 -2022 ELEMENTI DI MATEMATICA A Tipologia Bando: Incarico

20220422 Approvazione atti ELEMENTI MATE A.pd... (329 KB)

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Eventi di oggi 26 maggio 2022

mag 23 lun 2022

mag 27 ven 2022

Convegno
Semiclassical analysis, quantum field theory, nonlinear pdes
23/05/2022 - 27/05/2022
- CONVEGNO
- Semiclassical analysis, quantum field theory, nonlinear pdes
- organizzatori
  M. Correggi, M. Falconi
- Workshop II - Intensive Period "INdAM Quantum Meetings (IQM22)"
- Lunedì 23 maggio 2022 - Venerdì 27 maggio 2022
  Sala Consiglio - 7° piano
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

Prossimi Eventi

mag 30 lun 2022

MOX Colloquia
Ole Sigmund, Recent developments in multi-scale and non-linear topology optimization problems, 30-05-2022, ore 14:00

MOX Colloquia
Ole Sigmund
Dept. of Mechanical Engineering, Technical University of Denmark
Recent developments in multi-scale and non-linear topology optimization problems
Lunedì 30 maggio 2022 alle ore 14:00
Live: Aula Consiglio, Dip. di Matematica
Online: mox.polimi.it/mox-seminars/?id_evento=2167
Abstract

Topology optimization was introduced as a multi-scale approach in the seminal paper by Bendsøe and Kikuchi from 1988. However, simpler isotropic density interpolation schemes soon substituted the original homogenization-based approach. With advances in additive manufacturing technologies that may realize complex lattice and infill structures, needs for efficient multiscale topology optimization approaches have been revived. The first part of the talk will give an overview of latest advances in so-called de-homogenization techniques that generate highly optimized lattice structures from homogenization-based topology optimization results, also taking local and global buckling instabilities into account.

The second part of the talk will give an overview of latest developments within single and multi-material topology optimization approaches for generating pre-scribed non-linear force-displacement relations. By appropriate definition of goal and response functions, it is demonstrated that one can tailor very complex response curves almost at will. On-going studies include formulations that allow internal member contact through so-called third medium approaches.

Contatto: simona.perotto@polimi.it

Ole Sigmund

Ole Sigmund is a world leading researcher within topology optimization. Ole Sigmund is a Professor and Villum Investigator at the Department of Mechanical Engineering, Technical University of Denmark (DTU). He obtained his Ph.D.-degree in 1994 and Habilitation in 2001 and has held research positions at University of Essen and Princeton University. He is a member of the Danish Academy of Technical Sciences and the Royal Academy of Science and Letters and is the former President (2011-15, now EC member) of ISSMO (International Society of Structural and Multidisciplinary Optimization) and former Chairman of DCAMM (Danish Center for Applied Mathematics and Mechanics, 2004-2010). Together with Noboru Kikuchi and Martin Bendsøe, Ole Sigmund is one of the founders and present main contributors to the development of topology optimization methods in academia and industry. His +300 scientifc papers have received ~50000 citations in Google Scholar and an H-index of 85.

Politecnico di Milano, Dipartimento di Matematica edificio 14, via Giuseppe Ponzio 31/P, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568

giu 07 mar 2022

MOX Seminar
Stefano Castruccio, Physics-Informed, Data-Driven and Hybrid Approaches to Space-Time Systems, 07-06-2022, ore 15:30
- MOX Seminar
- Stefano Castruccio
- University of Notre Dame
- Physics-Informed, Data-Driven and Hybrid Approaches to Space-Time Systems
- Martedì 7 giugno 2022 alle ore 15:30
- Live: Aula Saleri, VI piano Dip. di Matematica
  Online: mox.polimi.it/mox-seminars/?id_evento=2169
- Abstract
  
  In this talk I will discuss two different approaches to characterize space-time systems. This first one is model-driven and loosely inspired by physics, assumes that the system is locally diffusive through a stochastic partial differential equation, and can be efficiently approximated with a Gaussian Markov random field. This approximation will be used to produce a stochastic generator of simulated multi-decadal global temperature, thereby offering a fast alternative to the generation of large climate model ensembles.
  
  The second approach is instead data-driven, and relies on (deep) neural networks in time. Instead of traditional machine learning methods aimed at inferring an extremely large parameter space, we instead rely on an alternative fast, sparse and computationally efficient echo state network dynamics on an appropriately dimensionally reduced spatial field. The additional computational time is then used to produce an ensemble and probabilistically calibrate the forecast. The approach will be used to produce air pollution forecasts from a citizen science network in San Francisco and forecasting wind energy in Saudi Arabia.
  
  Towards the end of the presentation, I will discuss how these two broad frameworks could be used in synergy to allow for improved predictability and understanding of space-time systems whose physical understanding is currently limited and/or largely influenced by parametrizations.
- Politecnico di Milano, Dipartimento di Matematica edificio 14, via Giuseppe Ponzio 31/P, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568
lug 10 dom 2022

lug 16 sab 2022

Convegno
Group actions in algebraic geometry
10/07/2022 - 16/07/2022
- CONVEGNO
- Group actions in algebraic geometry
- organizzatori
  Alexandru Constantinescu (Freie Universität Berlin, Germania), Andreas Hochenegger (Politecnico di Milano), Elena Martinengo (Università degli Studi di Milano).
- We will celebrate Klaus Altmann's birthday by bringing together experts working in toric geometry and related fields. Besides talks about recent results, there will be a lot of time for interaction and discussions.
- Domenica 10 luglio 2022 - Sabato 16 luglio 2022
  Hotel San Michele, Cetraro
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568