ENG

  • presso lo stand di Ingegneria Matematica (posizionato nel chiostro dell’edificio 3)

  • Al Dr. Mikel Landajuela, postdoc al MOX, è stato assegnato il SMAI-GAMNI prize 2017 per la migliore tesi di dottorato francese dell’anno in metodi numerici per scienze meccaniche e di ingegneria

  • Polimi Finance Lunch Seminar 2017

  • Seminari di Cultura Matematica anno 2017 XVI ciclo
    a cura di Anna Maria Paganoni e Giulio Magli

  • Corso di Studi in Ingegneria Matematica, nuovo progetto di doppia laurea con EPFL
    Double degree Master Program between Politecnico di Milano and EPFL

Laboratory of Modeling and Scientific Computing
MOX
Laboratorio di Modellistica
e
Calcolo Scientifico
Laboratory of Mathematics Education and Scientific Experimentation
EFFEDIESSE
Laboratorio di Formazione
e
Sperimentazione Didattica
differential equations at polimi
differential equations
at polimi
Quantitative Finance LAB
Laboratorio di
Finanza Quantitativa
Game Theory And Computation (Group)
Game Theory And Computation
(Group)


Prossimi Eventi

  • mar
    29
    mer
    2017
    Seminario
    29-03-2017, ore 12:15 Un agguato e due errori. comunicare contenuti di scienza e tecnologia: è possibile? non è detto
    Federico Pedrocchi

    • SEMINARIO
    • Un agguato e due errori. comunicare contenuti di scienza e tecnologia: è possibile? non è detto
    • Federico Pedrocchi, Giornalista scientifico
    • Mercoledì 29 marzo 2017 alle ore 12:15, Campus Leonardo, via Bonardi 9, Edificio 14 (Nave), aula B21

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • mar
    29
    mer
    2017
    Seminario
    29-03-2017, ore 15:15 precise Asymptotic analysis of linear moore-gibson-thompson equations
    Filippo Dell’oro

    • SEMINARIO
    • Asymptotic analysis of linear moore-gibson-thompson equations
    • Filippo Dell’oro, Politecnico di Milano
    • Mercoledì 29 marzo 2017 alle ore 15:15 precise, Aula seminari 3° piano
    • Abstract
      We consider the linear third-order Moore-Gibson-Thompson equation arising in acoustics, together with its memory relaxation. We analyze the stability properties of the solutions in dependence of the structural parameters of the models, and we discuss some intrinsic connections with the equation of linear viscoelasticity

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • apr
    03
    lun
    2017
    Seminario
    03-04-2017, ore 14:30 Reduced basis methods for parametrized pdes: how to enhance efficiency and accuracy in complex problems
    Andrea Manzoni

    • SEMINARIO
    • Reduced basis methods for parametrized pdes: how to enhance efficiency and accuracy in complex problems
    • Andrea Manzoni , EPFL Losanna
    • Lunedì 3 aprile 2017 alle ore 14:30, Aula Seminari ‘Saleri’ VI Piano MOX-Dipartimento di Matematica, Politecnico di Milano – Edificio 14
    • Abstract
      Reduced basis (RB) methods represent a reliable and efficient approach for the numerical approximation of problems involving the repeated solution of differential equations arising from engineering and applied sciences. Noteworthy examples include partial differential equations (PDEs) depending on several parameters, PDE-constrained optimization,
      data assimilation and uncertainty quantification problems. When dealing with more complex nonaffine and/or nonlinear problems, several challenges have to be faced to ensure accuracy and computational efficiency. These involve, among others, the need of (i) generating the reduced problem in non-intrusive and purely algebraic way; (ii) estimating the reduction errors or providing effective error surrogates; (iii) approximating manifolds of large intrinsic dimension with low-dimensional subspaces through possibly nonlinear or localized model order reduction algorithms.
      In this talk I will show how to combine some recent reduction and hyper-reduction techniques to solve a variety of
      computationally-intensive problems ranging, e.g., from fluid dynamics on domains with varying shape to cardiac electrophysiology and parameter estimation in a Bayesian setting.

      contact: paola.antonietti@polimi.it

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • apr
    05
    mer
    2017
    Seminario
    05-04-2017, ore 12:15 Las meninas di diego velasquez: segno, proiezione, riflesso
    Luigi Cocchiarella

    • SEMINARIO
    • Las meninas di diego velasquez: segno, proiezione, riflesso
    • Luigi Cocchiarella, Politecnico di Milano
    • Mercoledì 5 aprile 2017 alle ore 12:15, Campus Leonardo, via Bonardi 9, Edificio 14 (Nave), aula B21

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • apr
    06
    gio
    2017
    Seminario
    06-04-2017, ore 14:00 precise Regression analysis for compositional data from perspective of the logratio approach
    Eva Fiserova E Karel Hron

    • SEMINARIO
    • Regression analysis for compositional data from perspective of the logratio approach
    • Eva Fiserova E Karel Hron, Palacky University, Olomouc, Czech Republic
    • Giovedì 6 aprile 2017 alle ore 14:00 precise, Aula Seminari “F. Saleri” VI piano – MOX – Dipartimento di Matematica, Politecnico di Milano – Edificio 14
    • Abstract
      Regression analysis is an important tool for analysing the relationships between the response variable and known explanatory variables. When the response variables or explanatory variables are compositional, i.e. multivariate observations carrying only relative information (proportions, percentages), a special treatment in regression is necessary. Compositional data are characterized by the simplex sample space with the Aitchison geometry that forms the Euclidean structure. Proper statistical methodology for this kind of observations is the logratio methodology that enables to express the data isometrically in the real Euclidean space where it is possible to apply standard statistical tools (Aitchison, 1986; Pawlowsky-Glahn et al., 2015). The lecture is focused on three main regression tasks, where compositional data are involved: either regression with a compositional response variable, or regression with compositional explanatory variables, or regression between parts of a composition. The main methodological approach for dealing with compositional regression is based on orthonormal logratio coordinates. Although regression models in orthonormal logratio coordinates are theoretically well justified, both the normalizing constants to reach orthonormality and the natural logarithm itself result in quite a complex interpretation of the regression parameters. In the lecture, we will present new orthogonal logratio coordinates (Muller et al., 2017) in order to achieve better interpretability of regression parameters while preserving all important features of regression models for compositional data. Theoretical results will be applied to real-world examples.

      contatto: alessandra.menafoglio@polimi.it

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • apr
    11
    mar
    2017
    Seminario
    11-04-2017, ore 15:00 precise Proximity operator computation for large scale problems
    Jean-christophe Pesquet

    • SEMINARIO
    • Proximity operator computation for large scale problems
    • Jean-christophe Pesquet, University Saclay
    • Martedì 11 aprile 2017 alle ore 15:00 precise, Aula seminari 3° piano
    • Abstract
      Proximal methods have gained much interest for solving large-scale possibly non smooth optimization problems. When dealing with complicated convex functions, the expression of the proximity operator is however often non explicit and it thus needs to be determined numerically. We show in this work how block-coordinate algorithms can be designed to perform this task. We deduce also distributed optimization strategies allowing us to implement our solutions on multicore architectures. Applications of these methods to video restoration of old TV sequences illustrate the good performance of the proposed algorithms.

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • apr
    20
    gio
    2017
    Seminario
    20-04-2017, ore 14:00 Computational cardiac electrophysiology: motivations, mathematical models and scalable solvers
    Piero Colli Franzone

    • SEMINARIO
    • Computational cardiac electrophysiology: motivations, mathematical models and scalable solvers
    • Piero Colli Franzone, Università di Pavia, Dipartimento di Matematica
    • Giovedì 20 aprile 2017 alle ore 14:00, Aula Seminari ‘Saleri’ VI Piano MOX-Dipartimento di Matematica, Politecnico di Milano – Edificio 14
    • Abstract
      Life sciences could benefit immensely from the massive growth of HPC processing power occurred in the last ten years. Indeed, complex biological systems are described by sophisticated mathematical models, whose solution requires highly scalable solvers. In particular, for what concerns cardiac electrophysiology, the simulation of the electrical excitation of the heart muscle, and the subsequent contraction-relaxation process, represents a challenging computational task. In the present talk, we will describe the main mathematical model of the cardiac electrical and mechanical interactions, the so-called cardiac electro-mechanical coupling model. This model consists of a system of non-linear partial differential equations (PDEs), constituted by four sub-models: the anisotropic Bidomain model, i.e. a system of degenerate parabolic reaction-diffusion PDEs describing the electrical current flow through the tissue; the membrane model of the cardiac cell myocyte describing the ionic fluxes across the membrane, including stretch-activated channels; the active tension model describing the intracellular calcium dynamics and the consequent generation of the cellular force; the quasi-static anisotropic finite elasticity equations describing the deformation of the ventricular walls. The complex interaction between the cardiac bioelectrical and mechanical phenomena is modeled by a system of non-linear partial differential equations (PDEs), known as cardiac electromechanical coupling (EMC) model. Due to the extremely different spatial and temporal scales of the physical phenomena occurring during a single heartbeat, the discretization of the EMC model with finite elements in space and finite differences in time yields the solution of thousands of large scale linear systems, with O(106 – 108) degrees of freedom each. The effective solution of such linear systems requires the use of hundreds/thousands processors and, consequently, of highly scalable preconditioners. The numerical simulations are based on our finite element parallel solver, which employs Multilevel Additive Schwarz preconditioners for the solution of linear systems arising from the discretization of the Bidomain equations and Newton-Krylov-Algebraic Multigrid methods for the solution of the non-linear systems arising from the discretization of the finite elasticity equations.
      Finally, the results of three-dimensional parallel simulations will demonstrate the effectiveness of the resulting algorithms.

      contact: christian.vergara@polimi.it

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • apr
    27
    gio
    2017
    Seminario
    27-04-2017, ore 14:00 Energy from ocean waves
    Giuseppe Passoni

    • SEMINARIO
    • Energy from ocean waves
    • Giuseppe Passoni, POLITECNICO DI MILANO, Dipartimento di Elettronica Informazione e Bioingegneria
    • Giovedì 27 aprile 2017 alle ore 14:00, Aula Seminari ‘Saleri’ VI Piano MOX-Dipartimento di Matematica, Politecnico di Milano – Edificio 14
    • Abstract
      Electricity generation from clean, safe and sustainable energy sources is one of the main challenges of the 21th century. Ocean waves represent a vast untapped energy source, which could contribute to energy portfolio diversification and to economic growth in coastal regions. Compared to other renewable energy sources, like solar and wind energy, ocean wave power is characterized by higher energy density, less hour-to-hour variability, higher predictability and lower visual impact. Thanks to its huge potential, ocean energy technologies are currently drawing large interest, particularly in the European Union, which is at the forefront in this technological challenge. The European Commission is now implementing a policy framework to support ocean energy with the aim of installing 100 GW of wave and tidal energy capacity by 2050. Although wave energy technologies are still not economically competitive, a number of devices are starting to be rolled out for large scale development and several others are close to prototyping stage. In this context, the mild Mediterranean wave climate, compared to severe ocean climates, has hampered the research until the last few years. However, the interest in wave electricity production is now steadily increasing, particularly in Italy, as highly energetic Atlantic sites have been proven to be too extreme for devices survivability. In this talk, an overview of wave energy production will be given: from the physical concepts, to the assessment of the available resource, to the classification of the different types of wave energy converters (WECs). Then, recent research on wave energy exploitation in Italian seas will be presented. Starting from the feasibility of wave electricity production off the Italian coasts, some existing devices will be analyzed in terms of their performance at some of the most promising Italian locations. After proper rescaling to the Mediterranean wave climate, some of the existing technologies will result into attractive performance parameters, very close to those of more energetic wave climates. The importance of mathematical modeling in wave energy conversion will be illustrated taking the example of a promising point absorber, directly driven by a linear generator and specifically designed for mild wave climates. A key feature of the mathematical model is the coupling between hydrodynamic and electromagnetic kernel, which allows for taking into account the effect of hydrodynamic interactions on the power take off system, as a whole. Numerical models are also essential tools for assessing the overall performance of wave energy farms, i.e. when looking at the topology of arrays of devices with respect to their mutual interactions and power quality issues.

      contact: edie.miglio@polimi.it

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • mag
    10
    mer
    2017
    Seminario
    10-05-2017, ore 12:15 Laser superintensi, materiali nanostrutturati, accelerazione di particelle: il ruolo della matematica
    Matteo Passoni

    • SEMINARIO
    • Laser superintensi, materiali nanostrutturati, accelerazione di particelle: il ruolo della matematica
    • Matteo Passoni, Politecnico di Milano
    • Mercoledì 10 maggio 2017 alle ore 12:15, Campus Leonardo, via Bonardi 9, Edificio 14 (Nave), aula B21

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • mag
    17
    mer
    2017
    Seminario
    17-05-2017, ore 12:15 Oltre il nostro sistema solare: alla ricerca di un’altra terra
    Barbara Negri

    • SEMINARIO
    • Oltre il nostro sistema solare: alla ricerca di un’altra terra
    • Barbara Negri , ASI Agenzia Spaziale Italiana
    • Mercoledì 17 maggio 2017 alle ore 12:15, Campus Leonardo, via Bonardi 9, Edificio 14 (Nave), aula B21

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • mag
    24
    mer
    2017
    Seminario
    24-05-2017, ore 12:15 Iannis xenakis: architetto della luce e del suono
    Alessandra Capanna

    • SEMINARIO
    • Iannis xenakis: architetto della luce e del suono
    • Alessandra Capanna, Università “La Sapienza” ? Roma
    • Mercoledì 24 maggio 2017 alle ore 12:15, Campus Leonardo, via Bonardi 9, Edificio 14 (Nave), aula B21

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • mag
    31
    mer
    2017
    Seminario
    31-05-2017, ore 12:15 Leggere i dati per progettare le politiche pubbliche per il nuovo millennio: una sfida (im)possibile
    Giovanni Azzone – Piercesare Secchi

    • SEMINARIO
    • Leggere i dati per progettare le politiche pubbliche per il nuovo millennio: una sfida (im)possibile
    • Giovanni Azzone – Piercesare Secchi, Politecnico di Milano
    • Mercoledì 31 maggio 2017 alle ore 12:15, Campus Leonardo, via Bonardi 9, aula De Donato

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • giu
    07
    mer
    2017
    Seminario
    07-06-2017, ore 12:15 Astronome del passato – una, nessuna o centomila?
    Gabriella Bernardi

    • SEMINARIO
    • Astronome del passato – una, nessuna o centomila?
    • Gabriella Bernardi, Giornalista scientifico
    • Mercoledì 7 giugno 2017 alle ore 12:15, Campus Leonardo, via Bonardi 9, Edificio 14 (Nave), aula B21

    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568
  • lug
    05
    mer
    2017
    lug
    07
    ven
    2017
    Convegno
    05-07-2017 – 07-07-2017 Workshop on polytopal element methods in mathematics and engineering

    • CONVEGNO
    • POEMS 2017
      workshop on polytopal element methods in mathematics and engineering

      (http://u53037a.matapp.unimib.it/POEMS2017/index.shtml)

    • organizzatori Paola Antonietti (Politecnico di Milano, Milan, Italy) Lourenço Beirão da Veiga (University of Milano-Bicocca, Milan, Italy) Franco Brezzi (IMATI-CNR, Pavia, Italy) Alessandro Russo (University of Milano-Bicocca, Milan, Italy) Giuseppe Vacca (Universi
    • Mercoledì 5 luglio 2017 – Venerdì 7 luglio 2017
    • Università degli Studi di Milano Bicocca
    Politecnico di Milano, Dipartimento di Matematica via Bonardi 9, 20133 Milano – Telefono: +39 02 2399 4505 – Fax: +39 02 2399 4568