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Spring Semester 2017

Date / Time Speaker Title Location
6 March 2017
16:15-17:15 		Prof. Dr. Bjorn Engquist
ICES, University of Texas
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Seismic imaging and the Monge-Ampère equation
Speaker, Affiliation Prof. Dr. Bjorn Engquist, ICES, University of Texas
Date, Time 6 March 2017, 16:15-17:15
Location Y27 H 28
Seismic imaging and the Monge-Ampère equation
Y27 H 28
8 March 2017
16:15-17:15 		Dr. Carola-Bibiane Schönlieb
University of Cambridge
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Bilevel learning of variational models
Speaker, Affiliation Dr. Carola-Bibiane Schönlieb, University of Cambridge
Date, Time 8 March 2017, 16:15-17:15
Location Y27 H 25
Abstract When assigned with the task of reconstructing an image from imperfect data the first challenge one faces is the derivation of a truthful image and data model. In the context of regularised reconstructions, some of this task amounts to selecting an appropriate regularisation term for the image, as well as an appropriate distance function for the data fit. This can be determined by the a-priori knowledge about the image, the data and their relation to each other. The source of this knowledge is either our understanding of the type of images we want to reconstruct and of the physics behind the acquisition of the data or we can thrive to learn parametric models from the data itself. The common question arises: how can we optimise our model choice? In this talk we discuss a bilevel optimization method for learning optimal variational regularisation models. Parametrising the regularisation and data fidelity terms, we will learn optimal total variation type regularisation models for image and video de-noising, and optimal data fidelity functions for pure and mixed noise corruptions. By considering quotients of desirable and undesirable image structures, we will also show how optimization strategies can be used to favour particular structures over others. I will also give an outlook on how such an approach can be used to learn optimal sampling patterns for magnetic resonance tomography. This presentation contains joint work with M. Benning, L. Calatroni, C. Chung, J. C. De Los Reyes, M. Ehrhardt, G. Gilboa, J. Grah, G. Maierhofer, T. Valkonen, and V. Vlacic
Bilevel learning of variational modelsread_more
Y27 H 25
15 March 2017
16:15-17:15 		Prof. Dr. Jean-Michel Coron
Université Pierre et Marie Curie
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Finite-time stabilization
Speaker, Affiliation Prof. Dr. Jean-Michel Coron, Université Pierre et Marie Curie
Date, Time 15 March 2017, 16:15-17:15
Location Y27 H25
Abstract We present various results on the finite-time stabilization of control systems. This includes control systems in finite dimension (with an application to a quadcopter sliding on a plane) as well as control systems modeled by means of partial differential (1-D linear hyperbolic systems and 1-D linear parabolic equations).
Finite-time stabilizationread_more
Y27 H25
22 March 2017
16:15-17:15 		Dr. Joscha Gedicke
Fakultät für Mathematik, Universität Wien
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title An adaptive C^0 interior penalty method for a biharmonic obstacle problem
Speaker, Affiliation Dr. Joscha Gedicke, Fakultät für Mathematik, Universität Wien
Date, Time 22 March 2017, 16:15-17:15
Location Y27 H 25
Abstract C^0 interior penalty methods are discontinuous Galerkin methods for fourth order elliptic boundary value problems that are easier to implement than C^1 continuous finite elements. They were recently extended to the obstacle problem of clamped Kirchhoff plates. In this talk we present the residual based a posteriori error analysis for the fourth order obstacle problem following the approach of Braess for second order obstacle problems. We show that the resulting a posteriori error estimator is similar to the one for the fourth order boundary value problem. Moreover, we apply the resulting adaptive finite element algorithm to a specific optimal control problem, that can be reformulated as fourth order obstacle problem. Numerical examples in 2d and 3d illustrate the proven reliability and efficiency of the a posteriori error estimator.
An adaptive C^0 interior penalty method for a biharmonic obstacle problemread_more
Y27 H 25
29 March 2017
16:15-17:15 		Prof. Dr. Mathias Fink
ESPCI Paris
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Wave Control and Holography with Time Transformations
Speaker, Affiliation Prof. Dr. Mathias Fink, ESPCI Paris
Date, Time 29 March 2017, 16:15-17:15
Location Y27 H 25
Abstract Because time and space play a similar role in wave propagation, wave control can be achieved or by manipulating spatial boundaries or by manipulating time boundaries. Here we emphasize the role of time boundaries manipulation. We show that sudden changes of the medium properties generate instant wave sources that emerge instantaneously from the entire wavefield and can be used to control wavefield and to revisit the holographic principles and the way to create time-reversed waves. Experimental demonstrations of this approach with water waves will be presented and the extension of this concept to acoustic and electromagnetic waves will be discussed. More sophisticated time manipulations can also be studied in order to extend the concept of photonic crystals and wave localization in the time domain.
Wave Control and Holography with Time Transformationsread_more
Y27 H 25
5 April 2017
16:15-17:15 		Prof. Dr. Eitan Tadmor
University of Maryland, ETH-ITS
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Hierarchical construction of images and the problem of Bourgain-Brezis
Speaker, Affiliation Prof. Dr. Eitan Tadmor, University of Maryland, ETH-ITS
Date, Time 5 April 2017, 16:15-17:15
Location Y27 H 25
Abstract Edges are noticeable features in images which can be extracted from noisy data using different variational models. The analysis of such variational models leads to the question of representing general images as the divergence of uniformly bounded vector fields. We construct uniformly bounded solutions of div(U)= F for general F’s in the critical regularity space L^d(T^d). The study of this equation and related problems was motivated by recent results of Bourgain & Brezis. The intriguing aspect here is that although the problems are linear, construction of their solution is not. These constructions are special cases of a rather general framework for solving linear equations in critical regularity spaces. The solutions are realized in terms of nonlinear hierarchical representations U = \sum_j u_j which we introduced earlier in the context of image processing. The u_j’s are constructed recursively as proper minimizers, yielding a multi-scale decomposition of “images” U.
Hierarchical construction of images and the problem of Bourgain-Brezisread_more
Y27 H 25
12 April 2017
16:15-17:15 		Dr. Máté Gerencsér
Institute of Science and Technology, Austria
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Characteristics of SPDEs
Speaker, Affiliation Dr. Máté Gerencsér, Institute of Science and Technology, Austria
Date, Time 12 April 2017, 16:15-17:15
Location Y27 H 25
Abstract We discuss Feynman-Kac formulae for linear stochastic PDEs. Due to the adapted randomness of the equations to be represented, the associated backward flow does not make (Itô) sense, and hence the temporal inversion has to be replaced by a spatial inversion. Some applications of such formulae to numerics and the theory of SPDEs will be outlined. Based on joint work with I. Gyöngy.
Characteristics of SPDEsread_more
Y27 H 25
26 April 2017
16:15-17:15 		Prof. Dr. Xue-Mei Li
University of Warwick
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Weighted heat kernels and 'Brownian bridges'
Speaker, Affiliation Prof. Dr. Xue-Mei Li, University of Warwick
Date, Time 26 April 2017, 16:15-17:15
Location Y27 H 25
Abstract Gaussian upper and lower bounds for heat kernels are the basic tools for large deviation estimates. There are two well known characterisations on the derivatives of heat semi-grouops: the lower bound of the Ricci curvature by gradient bounds on the heat semi-group; and the validity of the Logarithmic Sobolev inequality for the distributions of the Brownian motion by bounds on the Ricci curvature. What can we say about their second order derivatives? What can we say about the kernels of the self-adjoint operator, which is the sum of the Laplace-Beltrami operator plus a gradient vector field and a potential function? This talk will not be technical. We will discuss why the stochastic damped parallel translation and the doubly damped stochastic parallel translation equation are the natural companions for the heat equations, we will also discuss the associated estimates, the second order Feynman-Kac formulas, and the role of the Brownian bridges and the semi-classical Brownian bridges.
Weighted heat kernels and 'Brownian bridges'read_more
Y27 H 25
3 May 2017
16:15-17:15 		Prof. Dr. Dmitri Kuzmin
Technische Universität Dortmund
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Flux-Corrected Transport Schemes for High-Order Bernstein Finite Elements
Speaker, Affiliation Prof. Dr. Dmitri Kuzmin, Technische Universität Dortmund
Date, Time 3 May 2017, 16:15-17:15
Location Y27 H 25
Abstract This talk presents the first extensions of the flux-corrected transport (FCT) methodology to discontinuous and continuous high-order finite element discretizations of scalar conservation laws. Using Bernstein polynomials as local basis functions, we constrain the variation of the numerical solution by imposing local discrete maximum principles on the coefficients of the Bezier net. The design of accuracy-preserving FCT schemes for high-order Bernstein-Bezier finite elements requires a major upgrade of algorithms tailored for linear and multilinear Lagrange elements. The proposed ingredients include (i) a new discrete upwinding strategy leading to low order approximations with compact stencils, (ii) a variational stabilization operator based on the difference between two gradient approximations, and (iii) new localized limiters for antidiffusive element contributions. The optional use of a smoothness indicator based on a second derivative test makes it possible to avoid unnecessary limiting at smooth extrema and achieve optimal convergence rates for problems with smooth solutions. The accuracy of the proposed schemes is assessed in numerical studies for the linear transport equation in 1D and 2D. This is a joint work with R. Anderson, V. Dobrev, Tz. Kolev, C. Lohmann, M. Quezada de Luna, S. Mabuza, R. Rieben, J.N. Shadid, and V. Tomov.
Flux-Corrected Transport Schemes for High-Order Bernstein Finite Elementsread_more
Y27 H 25
10 May 2017
16:15-17:15 		Prof. Dr. Ivan Oseledets
INM RAS and SkolTech, Moscow
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Deep learning and tensors for the approximation of multivariate functions: recent results and open problems.
Speaker, Affiliation Prof. Dr. Ivan Oseledets, INM RAS and SkolTech, Moscow
Date, Time 10 May 2017, 16:15-17:15
Location Y27 H 25
Abstract In this talk I overview recent results in the algorithms and theory for the approximation of multivariate functions using low-rank tensor decompositions and deep neural networks (DNN), outline connections between two areas and also discuss open problems that need to be addressed. Tensor decompositions can be applied in DNN in several ways: first, they can be used to compress layers of DNN; second, DNN can be viewed as a generalized tensor network. A separate part will be denoted to the generalization ability of DNN, which is not fully described by the standard methods, and I will show our recent experimental study of the existence of "bad" local minima for neural networks.
Deep learning and tensors for the approximation of multivariate functions: recent results and open problems.read_more
Y27 H 25
17 May 2017
16:15-17:15 		Prof. Dr. Thanasis Fokas
University of Cambridge
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Revisiting the greats: Fourier, Laplace and Riemann
Speaker, Affiliation Prof. Dr. Thanasis Fokas, University of Cambridge
Date, Time 17 May 2017, 16:15-17:15
Location Y27 H 25
Abstract The unified transform (also referred to as the Fokas method) will be reviewed. In particular, it will be shown that this transform yields unexpected results for such classical problems as the heat equation on the half line which was first investigated by Fourier,as well as for the Laplace equation in the interior of a polygon. Interesting connections of this approach with the Riemann hypothesis has led to the proof of the Lindelof hypothesis for a close variant of the Riemann zeta function.
Revisiting the greats: Fourier, Laplace and Riemannread_more
Y27 H 25
24 May 2017
16:15-17:15 		Prof. Dr. Mikhail Shashkov
Los Alamos National Laboratory
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Modern numerical methods for high-speed, compressible, multi-physics, multi-material flows
Speaker, Affiliation Prof. Dr. Mikhail Shashkov , Los Alamos National Laboratory
Date, Time 24 May 2017, 16:15-17:15
Location KOL G 201
Abstract Computational experiment is among the most significant developments in the practice of the scientific inquiry in the 21th century. Within last four decades, computational experiment has become an important contributor to all scientific research programs. It is particular important for the solution of the research problems that are insoluble by traditional theoretical and experimental approaches, hazardous to study in the laboratory, or time consuming or expensive to solve by traditional means. Computational experiment includes several important ingredients: creating mathematical model, discretization, solvers, coding, verification and validation, visualization, analysis of the results, etc. In this talk we will describe some aspects of the modern numerical methods for high-speed, compressible, multi-physics, multi-material flows. We will address meshing issues, mimetic discretizations of equations of the Lagrangian gas dynamics and diffusion equation on general polygonal meshes, mesh adaptation strategies, methods for dealing with shocks, interface reconstruction needed for multi-material flows, closure models for multi-material cells, time discretizations, etc.
Modern numerical methods for high-speed, compressible, multi-physics, multi-material flowsread_more
KOL G 201
31 May 2017
16:15-17:15 		Dr. Maxim Rakhuba
SkTech Institute, Moscow, Russia
Event Details

Zurich Colloquium in Applied and Computational Mathematics

Title Tensor solvers for high-dimensional eigenvalue problems
Speaker, Affiliation Dr. Maxim Rakhuba, SkTech Institute, Moscow, Russia
Date, Time 31 May 2017, 16:15-17:15
Location Y27 H 25
Abstract This talk focuses on the solution of high-dimensional eigenvalue problems, which arise, e.g. in quantum chemistry and in the modelling of quantum spin systems. The key assumption is that eigenvectors can be approximated in low-rank tensor formats. This a priori knowledge allows us to reduce the number of parameters and to improve the convergence of iterative methods. We present new iterative solvers that explicitly account for the low-rank structure of the eigenvectors and that are capable of computing hundreds of eigenstates in high dimensions. We showcase our method by solving vibrational Scrödinger equation as well as equations arising in density functional theory.
Tensor solvers for high-dimensional eigenvalue problemsread_more
Y27 H 25

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