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


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Prossimi Seminari

  • Dealing with unreliable computing platforms at extreme scale
    Luc Giraud, INRIA (Inria Bordeaux – Sud-Ouest)
    mercoledì 23 gennaio 2019 alle ore 14:00, Aula Consiglio VII Piano – Edificio 14, Dipartimento di Matematica POLITECNICO DI MILANO
  • Poroelasticity: Discretizations and fast solvers based on geometric multigrid methods
    Francisco José Gaspar Lorenz, Department of Applied Mathematics -Zaragoza University – Spain
    giovedì 31 gennaio 2019 alle ore 14:00, Sala Consiglio VII Piano – Edificio 14, Dipartimento di Matematica POLITECNICO DI MILANO
  • Application of Polyconvexity and multivariable convexity of energy potentials in nonlinear solid mechanics
    Javier Bonet, University of Greenwich
    giovedì 14 febbraio 2019 alle ore 14:00, Aula Consiglio VII Piano – Edificio 14, Dipartimento di Matematica POLITECNICO DI MILANO

Seminari Passati

  • Quasistationary Penrose-Fife Model with Neumann Boundary Conditions
    Anastasia Klepatcheva, Dip. di Matematica Politecnico di Milano
    giovedì 15 maggio 2003
  • The classical limit of the relativistic Vlasov-Maxwell system in two space dimensions
    Hayoung Lee Max Planck, Institute for Gravitational Physics
    giovedì 15 maggio 2003
  • Il sistema solare: un orologio perfetto o una Babele ben mascherata? (I parte)
    A. Giorgilli, Univ. Milano Bicocca
    mercoledì 14 maggio 2003 alle ore 12:30, aula consiglio VII piano
  • Blackholes vs. naked singularities formation in gravitational collapse: analytical and numerical results and perspectives.
    Giulio Magli, Dipartimento di matematica F. Brioschi
    lunedì 12 maggio 2003 alle ore 14:30, aula seminari MOX- 6° piano dip. matem.
    In 1969 Roger Penrose proposed the so called Cosmic Censorship
    conjecture, namely the idea that all gravitating systems
    undergoing complete gravitational collapse – such as very massive
    stars – should always form blackholes. In other words, the
    conjecture states that all singularities eventually forming will
    be safely hidden to far-away observers by a event horizon. From
    the mathematical point of view the conjecture can be read off as
    a characterization of the geodesic motion (governed by o.d.e.) in
    a gravitational field assumed to be a solution of the Einstein
    field equations (a system of p.d.e.), with the addition of
    reasonable physical assumptions. No proof of the conjecture is
    available so far, while several examples of physically sound
    systems exhibiting naked singularities have been found. In recent
    years, the application of techniques coming from non-linear
    o.d.e. analysis allowed to construct a new mathematical framework
    for censorship experiments which can be used in problems so far
    considered unsolvable, such as the gravitational collapse of
    barotropic perfect fluids. Parallel, relevant results obtained by
    other groups working in the numerical simulation of gravitational
    collapse will also be reviewed.
  • Estimating Unobserved Probability and the Number of Unobserved Outcomes of an Experiment
    Chelluri C.A. Sastri, Dalhousie University, Halifax (Canada)
    lunedì 12 maggio 2003 alle ore 16:00, Dipartimento di Matematica e Applicazioni – Università degli Studi di Milano Bicocca – Via Bicocca degli Arcimboldi, 8 – Aula 371
    Suppose that an experiment with an unknown, possibly infinite, number of outcomes is performed and that these outcomes occur according to some random mechanism. Suppose that n independent trials are carried out and that N distinct outcomes have been observed. We attempt to answer the following questions: What is the probability that, on the next trial, an outcome not observed before occurs? (This is called the problem of unobserved probability.) What is the total number of outcomes not observed? This second problem has a long history going back to Turing and is, apart from its mathematical interest, important in many areas such as biology (species sampling), numismatics, and literary scholarship. We’ll give a brief survey of past work and also discuss recent joint work with Alberto Gandolfi in which a Bayes-like estimator for the number of unobserved outcomes is derived. This has the advantage over the existing estimators — due to Chao and Lee and others — in that, modulo the fact that Turing’s ansatz is used (it is used by everyone else as well), it is derived from first principles, without any ad hoc assumptions, and includes previous estimators as special cases. We’ll also briefly discuss an almost complete classification of infinite discrete probability measures, which emerges as a by-product of a solution we have obtained for the problem of unobserved probability.
  • Presentazione del Corso di Studi in Ingegneria Matematica
    Proff. A.Quarteroni, F.Saleri, S.Salsa, P.Secchi, A.Veneziani
    sabato 10 maggio 2003 alle ore 09:30, Aula S05 (replica ore 11:30 e 14:45, stessa aula)
    Nota: Il seminario verra ripetuto alle ore 11:30 e alle ore 14:45 .
  • A variational approach to double-porosity problems
    Valeria Chiad•, Piat Dip. di Matematica Politecnico di Torino
    mercoledì 7 maggio 2003
  • 3D Computer Vision and Pattern Recognition: Recent Activities at the VIPS Laboratories
    Vittorio Murino, Dip. di Informatica – Univ. degli Studi di Verona
    lunedì 5 maggio 2003 alle ore 11:00, Aula Seminari MOX – 6° piano – Dip. Matematica
    In this talk, a general overview of the activities carried out at the
    Vision, Image Processing and Sound (VIPS) laboratory (Department of
    Computer Science, University of Verona, Italy), and the main research
    projects in which it is involved will be described.

    The laboratory is involved in a broad spectrum of activities, mainly in
    the areas of Computer Vision, Pattern Recognition, and Human-Computer

    In particular, the talk will focus on the following research topics:

    – 3D Computer Vision: 3D data registration and reconstruction, mosaicing,
    view synthesis, augmented reality.

    – Pattern Recognition: object detection and classification in remote
    sensing images, Hidden Markov models for classification and
    videosurveillance applications, face recognition.

    Depending on the audience interest and the available time, some issues
    can be more detailed.

    In particular, the lab is working from long time on methods for the
    automatic environment reconstruction from multiple 3D images, and in
    exploring Hidden Markov Models (HMMs) for 2D shape classification, and
    background detection.