ingleseENG
Direttore Vicario: Prof. Gabriele Grillo
Responsabile Gestionale: Dr.ssa Franca Di Censo

 Seminari

Selezionare una sezione
Parola da cercare

Prossimi Seminari

  • Computational Prediction of Blood Damage
    Marek Behr, Chair for Computational Analysis of Technical Systems Faculty of Mechanical Engineering, RWTH Aachen
    lunedì 1 ottobre 2018 alle ore 14:00, Aula Consiglio VII Piano – Edificio 14, Dipartimento di Matematica POLITECNICO DI MILANO
  • Caputo Evolution Equations with time-nonlocal initial condition
    Lorenzo Toniazzi, University of Warwick
    martedì 9 ottobre 2018 alle ore 15:15, Aula Seminari 3° piano
  • Statistical modeling and monitoring of product and process quality in Additive Manufacturing: opportunities and challenges
    Bianca Maria Colosimo, Dipartimento di Meccanica, Politecnico di Milano
    giovedì 11 ottobre 2018 alle ore 14:00,  Aula Consiglio VII Piano – Edificio 14, Dipartimento di Matematica POLITECNICO DI MILANO
  • Elastic waves in soft tissues: inverse analysis, experiments, simulations, validation
    Michel Destrade, Chair of Applied Mathematics at NUI Galway
    giovedì 18 ottobre 2018 alle ore 14:00, Aula Consiglio VII Piano – Edificio 14, Dipartimento di Matematica POLITECNICO DI MILANO
  • An overview of some mathematical and computational problems in Network Science
    Michele Benzi, Scuola Normale Superiore, Pisa
    giovedì 22 novembre 2018 alle ore 14:00,  Aula Consiglio VII Piano – Edificio 14, Dipartimento di Matematica POLITECNICO DI MILANO
  • BIRATIONAL EQUIVALENCE OF ALGEBRAIC VARIETIES
    Shigefumi Mori, Kyoto University Institute of Advanced Study
    lunedì 26 novembre 2018 alle ore 16:30, Aula Chisini, Diparimento di Matematica, Via C. Saldini 50

Seminari Passati

  • Probabilistic representation of solution to nonlinear parabolic equations
    Francois Delarue, Universita di Parigi
    domenica 9 febbraio 2003 alle ore 15:00, Dipartimento di Matematica
  • Parabolic differential-algebraic multiphysics models in electrical network design
    Giuseppe Alì, Ist. per le appl. del calcolo M. Picone – Napo
    mercoledì 29 gennaio 2003 alle ore 11:30, Aula semianri MOX – 6° piano dip. mat.
    ABSTRACT
    In refined network analysis, a compact network model is combined with distributed models for semiconductor devices in a multiphysics approach. For linear RLC networks containing diodes as distributed devices, we construct a mathematical model that combines the differential-algebraic network equations of the circuit with parabolic-elliptic boundary value problems modelling the diodes.
    For this mixed initial-boundary value problem of partial differential-algebraic equations a first existence result is given.
  • Frattali
    S. Mortola, Dip. di Matematica
    venerdì 17 gennaio 2003 alle ore 12:30, aula B 5.4
  • Problemi di controllo ottimo in economia
    Fausto Gozzi, LUISS – Roma
    lunedì 13 gennaio 2003 alle ore 15:00, Dipartimento di Matematica
  • Buchi neri e singolarità nude
    G. Magli, Dip. di Matematica
    venerdì 10 gennaio 2003 alle ore 12:30, aula B 5.4
  • Reconstruction and classification of distal anastomoses of peripheral by-pass grafts: from Magnetic Resonance Imaging to CFD
    Sergio Giordana, Imperial College – London
    mercoledì 8 gennaio 2003 alle ore 15:00, Aula Seminari MOX – 6° piano – Dip. Matematica
    ABSTRACT
    Abnormal haemodynamic conditions are implicated in the development of anastomotic myointimal hyperplasia (MIH), which constitutes the main cause of failure of peripheral by-pass grafts. However these conditions are difficult to determine in-vivo, prompting research using ex-vivo idealised models. To relate the understanding gained in idealised geometries to anatomically correct conditions we have investigated an approach to classify in-vivo distal graft anastomoses and their inter-patient variability.

    In-vivo distal anastomotic geometries were acquired by magnetic resonance (MR) angiography from 13 patients who had undergone infrageniculate autologous venous bypass surgery. On average, the images were acquired 2 weeks post-operatively. Five patients also underwent repeat examinations 2 to 7 weeks later. For each geometry, the surface of the arterial lumen is reconstructed from MR images using a zero level set of an implicit function constructed from radial basis functions that can be shown to minimise curvature. The final surface representation is a tessellation obtained by the marching cubes algorithm and is the initial support for CFD mesh generation.

    The three-dimensional binary image created from the interpolated surface is processed using a skeletonisation algorithm to obtain the centreline of each branch in the geometry. This allows the definition and the computation of the set of parameters that constitute the base of a geometric classification. In this study we have chosen to measure the branching angles between straight line approximations of the centrelines obtained by averaging over a characteristic length of the anastomosis.
  • Some Remarks on the History and Future of Averaging Techniques in A~Posteriori Finite Element Error Analysis
    Carsten Carstensen, Vienna University of Technology
    martedì 7 gennaio 2003 alle ore 15:00, Aula Seminari MOX – 6° piano dipartimento di Matem
    ABSTRACT
    Given a flux or stress approximation $p_h$ from a low-order finite
    element simulation of an elliptic boundary value problem, averaging or
    (gradient-) recovery techniques aim the computation of an improved
    approximation $Ap_h$ by a (simple) post processing of
    $p_h$. For instance, frequently named after Zienkiewicz and Zhu,
    $Ap_h$ is the elementwise interpolation of the nodal values
    $(Ap_h)(z)$ obtained as the integral mean of $p_h$ on a
    neighbourhood of $z$. This paper gives an
    overview over old and new arguments in the proof of reliability and
    efficiency of the error estimator $ eta_{ cal A}:= |p_h-{A}p_h |$
    as an approximation of the error $ |p-p_h |$ in (an energy norm)
    $ | cdot |$. High-lighted are the general class of meshes, averaging
    operators, or finite elements [conforming, nonconforming, or mixed].
    Emphasis is on old and new aspects of superconvergence and arguments
    to circumvent superconvergence at all within proofs of a~posteriori
    finite element error estimates.

  • A new subdomain-based error estimator for finite element approximations of elliptic problems.
    Fabio Nobile, University of Texas at Austin
    lunedì 16 dicembre 2002 alle ore 16:00, Aula Seminari MOX – 6° piano, Dip. di Matematica
    ABSTRACT
    In this talk we present a sub-domain residual error estimator for
    finite element approximations of elliptic problems. It is obtained by
    solving local problems on patches of elements in weighted spaces and
    provides for an upper bound on the energy norm of the error when the
    local problems are solved in sufficiently enriched discrete spaces. A
    guaranteed lower bound on the error can also be derived by a simple
    postprocess of the solutions to the local problems.
    We will present several numerical tests and discuss the reliability and
    performance of this estimator.
    We will finally address the case of constrained elliptic problems, such
    as the Stokes equations.