If you are interested in organizing a minisymposium, please send a tentative title and
a brief description to esco2014(at)femhub(dot)com.
List of Minisymposia
 Computational Biomechanics (J.R. Whiteman  Brunel University, London, UK)
Computational biomechanics plays an important role in the study of biological systems and
processes, as they appear in “the challenges of today”. This minisymposium is devoted
to the computational modelling of problems of biomechanics such as: cardiovascular
systems; haemodynamics; biodentistry; bone modelling, hip and implant biomechanics;
soft tissue biomechanics; biomaterials such as thermoplastics. The focus will be on advances
in computational methods for modelling and treating problems of the above type, novel
numerical methods and computational techniques and challenges.
 Selected Applications of Computational Geometry (J.H. Brandts  University of Amsterdam, The Netherlands)
The influence of the geometry of triangulations on qualitative aspects of
finite element approximations is by now well known, and has initiated
research in the area of simplicial triangulations using simplices with
restricted shapes only, such as nonobtuse or even acute simplices.
Such simplices can conveniently be described in terms of linear algebra,
leading to the studies of special matrix classes, such as ultrametric
matrices, (inverse) Mmatrices, and completely positive matrices.
This minisymposium aims to bring together people who are active in
the field of Computational Geometry, with geometry and computation
as common divisor.
 Sensitivity Computations in Computational Science and Engineering (M. Buecker and F. Schiller  University of Jena, Germany)
Sensitivities are basic building blocks in a variety of numerical techniques for
the solution of optimization problems, inverse problems, or uncertainty quantification.
Not only they are necessary from a methodological point of view; they also provide
additional insight into the scientific and engineering problem to which the numerical techniques are applied.
This minisyposium will focus on recent advances in methods for the efficient computation of sensitivities
and show their high relevance in actual applications like geophysics and hydrology.
 Computational Modeling of Porous Media Flow (Michal Kuraz  Czech Technical University, Prague)
Mathematical modeling of the porous media flow and contaminant transport could be summarized into two distinct categories. It is the reliable solution of the governing equations and the macro parameter description of the porous media.
The numerical solution of the governing equations of the porous media flow involves several difficulties originating from steep gradients in nonlinear constitutive laws for the unsaturated hydraulic functions. And the macro parameter description involves another severe problem in a search for parameters that macroscopically describe highly nonhomogeneous and complicated system of the porous media flow.
 Paremeter Identification in a Probabilistic Setting (Bojana Rosic  Inst. für Wiss. Rechnen, Braunschweig)
Inverse problems in a deterministic setting are typically illposed as
the mapping from parameter to observable is usually not invertible.
In order to cope with the solution uniqueness and instabilities under data
perturbations, special optimisation methods have to be developed.
These methods are fundamentally based on the introduction of a regularization
term so that the predicted system state is constrained to remain
close to the observed system state. The objective
of the minisymposium is to familiarize the participants with the Bayesian
inference in full and linear setting and share the knowledge about
numerical methods such as Markov Chain Monte Carlo algorithms, Kalman
lter estimate, spectral based linear Bayesian procedures etc.
 Bayesian Framework for Multiphysics Inverse Problems (Helcio R.B. Orlande  Federal University of Rio de Janeiro, Rio de Janeiro, Brasil; Marcelo J. Colaço  Federal University of Rio de Janeiro, Rio de Janeiro, Brasil; Zbigniew Buliński  Silesian University of Technology, Gliwice, Poland)
The application field of inverse problems
is very wide starting with image analysis, electrical tomography, bioengineering, heat
and mass transfer and fluid mechanics, and still new applications are reported in literature.
Most inverse problems are illposed in the sense given by Hadamard, therefore
they need regularisation. Application of Bayesian framework to inverse problems allows us
to take advantage of all information about a given problem which can be incorporated as a
priori distribution to the solution procedure, what makes the problem better posed. Moreover,
solution of the inverse problem is given in terms of posterior distribution function, which
also regularised the problem. New developments as well as applications of a well established
Bayesian techniques like: Marcov Chain Monte Carlo, Kalman filter, Particle filter are
welcome.
 Numerical Modeling of Material Behaviour on Nano, Micro or Macro Scale Level (Jaroslav Kruis  Czech Technical University, Prague)
This minisymposium is devoted to numerical modeling of behaviour of materials used especially in civil engineering such as concrete, composites, wood, soil, etc. Because of their complicated structure, various levels (from nano to macro) of description are used. Transport of heat, moisture and chemical species, mechanical analysis and coupled hydrothermochemomechanical analysis are in the center of attention. Multilevel models require huge computational power which is accessible on parallel computers. Contributions dealing with singlelevel or multilevel analysis on single or parallel computer are welcome.
 Simulation and Coupling Strategies for Particle
Dynamics and CFD (Philipp Neumann  Technical University of Munich; Ulrich Ruede  University of Erlangen)
In this minisymposium, recent advances in simulating complex particulate
systems in the context of fluid dynamics are presented. Particular topics com
prise the simulation of suspended particles in (turbulent) flows and the simu
lation of largescale molecular systems. Both high performance computing and
multiscale aspects are considered.
 Advances in Numerical Methods for Eigenvalue Problems and Applications (Stefano Giani  University of Durham))
The aim of this minisymposium is to present and discuss stateoftheart numerical methods for eigenvalue problems and their applications. Contributions on error analysis, error estimators, guaranteed computable bounds for eigenvalues, convergence for adaptive schemes, advances in numerical linear algebra, polygonal finite elements and stochastic finite elements are most welcome.
 Computational Methods in Applied Inverse Problems (Aaron Luttman  National Security Technologies, LLC; Robert Zemcik  University of West Bohemia)
Indirect measurements in science and engineering provide data that are often not the quantities of primary interest. Inferring the information of interest then becomes a problem of mathematically modeling the experiment and data capture and solving an associated inverse problem. This minisymposium will focus on recent work on computational methods for solving inverse problems arising from real experiments. Some of the focus applications are imaging science, signal processing, and stress and strain, but submissions of work on computational methods for inverse problems in other applications are welcome.
 Coupled problems in electromagnetics (P. Karban  University of West Bohemia)
The aim of this minisymposium is to present and discuss stateoftheart
mathematical models, numerical methods, and computational techniques for
solving multiphysics coupled problems rooted in electromagnetic fields.
Target applications include induction and dielectric heating, electromechanical
transducers, and highvoltage phenomena of thermoelasticity.
 Advances in Discontinuous Galerkin Methods for complex wave
propagation problems (S. Schnepp  ETH Zurich)
This minisymposium is
concerned with advances and novel DG techniques for the
computer simulation of complex wave propagation problems.
Contributions on methodological advances  such as hybridized DG
methods, efficient time integration, error estimation and adaptivity 
or the modeling of complex situations and materials  such as
encountered in nanosciences, bioelectromagnetics or coupled problems
 are most welcome.
Software Workshops

NCLab  Free cloud computing platform for education and research

DUNE  Distributed and Unified Numerics Environment

Agros2D  Multiplatform interactive graphical application for the solution of engineering problems based on adaptive hpFEM

Hermes  C/C++ library for rapid development of adaptive hpFEM and hpDG solvers with emphasis on timedependent nonlinear multiphysics problems

emgr  Toolbox for model order reduction, uncertainty quantification, and system identification compatible with OCTAVE and MATLAB