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Last update:
23.05.2018

Program
The lectures will be prepared with a broad multidisciplinary audience in mind,
and at each school a broad scope, ranging from modeling to scientific computing,
will be covered. The four main speakers will deliver a series of three
70minutes lectures. Ample time within the school is allocated for the promotion of
informal scientific discussions among the participants.
The detailed program and the program scheme are available in pdf.
Plenary speakers

Françoise Tisseur
The University of Manchester, UK
School of Mathematics
Alan Turing Building
Manchester, M13 9PL


The nonlinear eigenvalue problem 
Nonlinear eigenvalue problems (NEPs) arise in many areas of computational
science and engineering, including acoustics, control theory, fluid mechanics
and structural engineering, and in the past ten years there have been numerous
breakthroughs in the development of numerical methods.
In the first lecture, I will present simple but representative examples of NEPs
associated with matrixvalued functions that depend nonlinearly on a single
parameter. I will discuss some interesting mathematical properties of nonlinear
eigenproblems, present their solution structure, including discussions of
invariant pairs, Keldysh's theorem, and generalized Rayleigh functionals, as
well as some perturbation results.
In the second and third lectures, I will present three classes of numerical
methods for NEPs:
1. solvers based on Newton's method, illustrating their convergence properties
with examples;
2. solvers using contour integrals, discussing their dependence on parameters;
3. solvers based on the linearization of rational eigenvalue problems.
I will discuss practical and efficient construction of rational interpolants via sampling of the
matrixvalued function defining the NEP.


Nicholas J. Higham
The University of Manchester, UK
School of Mathematics
Alan Turing Building
Manchester, M13 9PL


Multiprecision Algorithms 
Today's computing environments offer multiple precisions of
floatingpoint arithmetic, ranging from quarter precision (8 bits) and
half precision (16 bits) to double precision (64 bits) and even
quadruple precision (128 bits, available only in software), as well as
arbitrary precision arithmetic (again in software). Exploiting the
available precisions is essential in order to reduce the time to
solution, minimize energy consumption, and (when necessary) solve
illconditioned problems accurately.
In this course we will describe the precision landscape, explain how we
can exploit different precisions in numerical linear algebra, and
discuss how to analyze the accuracy and stability of multiprecision
algorithms.
Lecture 1:
IEEE standard arithmetic and availability in hardware and software.
Motivation for low precision from applications, including machine
learning. Applications requiring high precision. Simulating low
precision for testing purposes. Software for high precision.
Challenges of implementing algorithms in low precision.
Lecture 2:
Basics of rounding error analysis. Examples of error analyses of
algorithms, focusing on issues relating to low precision.
Lecture 3:
Solving linear systems using mixed precision: iterative refinement,
hybrid directiterative methods. Multiprecision algorithms for matrix
functions, focusing on the matrix logarithm.


Eduard Feireisl
Institute of Mathematics AS CR, Czech Republic
Žitná 25
CZ  115 67 Prague 1 

Mathematics of fluids in motion 
We discuss solvability of the basic problems of fluid mechanics as the NavierStokes and/or the Euler equations. We examine this problem in the context of complete fluid systems. These may be seen as
the simplest mathematical model that complies with all basic laws of thermodynamics. We address the question of well and ill posedness with regard to the recent result obtained via a method commonly known as convex integration. We introduce a general class of solutions  the dissipative measure valued solution  that may be seen as the largest class of objects that complies with the principle of weakstrong uniqueness. We discuss several applications of this new concept of solutions, in particular to problems involving singular limits.


Roland Becker
Université de Pau et des Pays de l’Adour, France
Laboratoire de Mathématiques Appliquées
Bâtiment IPRA
Avenue de l'Université BP 1155
64013 Pau Cedex 

Finite element methods for boundary and interface problems 
These lectures are concerned with the discretization of boundary value and interface
problems by adaptive finite element methods. They are motivated by applications
in solid and fluid mechanics, which provide a variety of different boundary
conditions, either because of physical modeling or the need to limit the computational
domain. In addition, many problems involve different physical materials,
which lead to coupling of different partial differential equations by interface problems.
The mathematical theory of finite elements is mostly concerned with approximation
properties, stability and error analysis, limiting the considered models
to the simplest boundary conditions and generally excluding multiphysical couplings.
Therefore, a standard first course on the mathematical theory of finite elements
generally focusses on elliptic problems with homogenous Dirichlet data.
In recent time, considerable research has been made to develop numerical
methods for multiphysics with an without meshes matching at the interfaces;
naturally, nonmatching meshes are at least interesting for problems with a priori
unknown position of interfaces or dynamically moving interfaces.
These notes focus on finite element methods based on weak treatment of interface
couplings. This can in principle be achieved by means of Lagrange multipliers.
At least from a computational point of view, methods avoiding multipliers
are preferable, since they avoid discretization of the multiplier spaces and do not
require additional work for iterative solution of the resulting systems.
An important additional property of weak coupling is the possibility of weighting
contributions from different partial differential operators involved in the system.
Thereby it is possible to establish a discrete weak formulation which makes
sense for the limit of a singularly perturbed problem, such as the convectiondiffusion
problem with vanishing viscosity parameter.
For more details we refer to abstract.

