WSC voorjaarsbijeenkomst 2013
Deelnemers WSC voorjaarsbijeenkomst 2012 in Antwerpen
Op vrijdag 17 mei 2013 organiseert de Werkgemeenschap Scientific Computing i.s.m. het
Centrum Wiskunde & Informatica
haar jaarlijkse voorjaarsbijeenkomst te Amsterdam.
Op deze bijeenkomst zullen AIOs/OIOs en senior onderzoekers op het gebied van
Scientific Computing een voordracht geven.
Het programma en de samenvattingen van de lezingen zijn hieronder te vinden.
Aan deelname zijn geen kosten verbonden, maar
Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam
| 09.30-10.00 uur
| 10.00-10.30 uur
||Fast time solution of the Maxwell equations by matrix functions[abstract]
(http://www.math.utwente.nl/~botchevma/) obtained his PhD degree from the Rostov
State University (now Southern Federal University, Russia) in 1995. He spent several
years at Utrecht University, CWI and FOM Plasma Physics institute "Rijnhuizen" as a
postdoctoral researcher and now works at the Applied Math Department, University of Twente.
His research interests include efficient time integration methods and linear solvers,
preconditioned Krylov subspace methods and numerical solution of the Maxwell equations.
| 10.30-10.55 uur
||Partitioned simulation of fluid-structure interaction
Joris Degroote obtained his MSc and PhD degrees at Ghent
University (Belgium) in 2006 and 2010, respectively.
He was a visiting researcher at MIT (USA) from September 2007
until August 2008 and at TUM (Germany) from July until September 2011.
Currently, he is a post-doctoral researcher at the department of Flow,
Heat and Combustion Mechanics at Ghent University.
His research interests are the development and analysis of coupling schemes
for partitioned fluid-structure interaction simulations and their
applications to mechanical, civil and biomedical engineering problems.
| 10.55-11.20 uur
||A Monge-Ampère equation in illumination optics
Corien Prins (Corien's website)
studied physics and mathematics in Groningen and Utrecht.
After finishing her master's degree in mathematics, she decided to start
a PhD project at the Eindhoven University of Technology on a
joint project with Philips Lighting.
Currently her research is focused on inverse methods for the design
of optics for LED lighting.
Next to having a broad education in both mathematics and physics, she is also an enthusiastic programmer.
| 11.20-11.45 uur
| 11.45-12.10 uur
||Application of the Level-Set Method to a Mixed-Mode Driven Stefan Problem
Dennis den Ouden is PhD Researcher for M2i, located at TU Delft, in cooperation
with Tata Steel, Nederland.
His research focuses on modelling growth and nucleation of particles within
HSLA steels during thermomechanical processing.
The research has two main areas of focus.
First the evolution of size distributions of particles to obtain
global information on the microstructure of the steel. Second the shape
evolution of single particles. The results from this project will be (partially)
implemented at Tata Steel for validation and use.
Dennis den Ouden studied Applied Mathematics at TU Delft.
| 12.10-12.35 uur
||Local Discontinuous Galerkin Method for Inkjet Drop Formation and Motion
Tatyana Medvedeva is a PhD student at the Mathematics of Computational Science
(MaCS) group, University of Twente. The title of her research topic is
"Local Discontinuous Galerkin Method for Inkjet Drop Formation and Motion".
Current research interests include computational mathematics and fluid mechanics.
She got her Master's degree at the faculty of Applied Mathematics and Computer
Science, Novosibirsk State Technical University (Russia).
| 12.45-13.45 uur
||Lunch in Polder, Science Park 205
| 13.45-14.10 uur
||Challenges in fluid modeling of streamer discharges
Aram Markosyan(http://www.cwi.nl/~aram) is a PhD student at CWI in Amsterdam.
He is in the group of multiscale dynamics under supervision of U. Ebert and W. Hundsdorfer.
The main focus of his research is development of new mathematical models for
| 14.10-14.35 uur
||Pricing American-style options in the Heston model with ADI FD schemes
Tinne Haentjes is currently PhD student in the Applied Mathematics
and Numerical Analysis research group at the University of Antwerp.
Her research deals with the analysis and development of numerical methods
for the efficient and stable solution of higher dimensional partial
differential equations arising in financial option pricing theory.
The main focus is on Alternating Direction Implicit (ADI) time discretization schemes.
| 14.35-15.00 uur
||Stochastic parameterization of atmospheric convection
Jesse Dorrestijn obtained his bachelor's and master's degrees at the Mathematics
at Universiteit Utrecht in the Netherlands, Master with distinction.
During his study he spent one year at the department of Mathematics at
La Sapienza in Rome in Italy.
From 2010 Jesse is a PhD-student at CWI in Amsterdam.
He is in the group computational dynamics under supervision of Daan Crommelin.
The subject of his research is stochastic parameterization of atmospheric convection.
| 15.00-15.25 uur
| 15.25-15.55 uur
||Frame Computing: working with redundant representations of functions
Daan Huybrechs studied engineering and finished a phd in applied mathematics
on numerical methods for wave problems at KU Leuven in 2006.
After a postdoc in Cambridge, he currently holds a research professorship
position in Leuven.
Frames and approximation theory are a recent research topic, which evolved
from earlier work on numerical methods for the evaluation of oscillatory integrals and integral equations.
| 16.00-16.45 uur
Organisatie, deelname en registratie
Deze voorjaarsbijeenkomst wordt jaarlijks georganiseerd door de Werkgemeenschap Scientific Computing (WSC),
dit jaar in samenwerking met het CWI.
Prof.dr. Kees Oosterlee (CWI, TU Delft),
Drs. Margreet Nool (CWI, secretaris WSC),
Nada Mitrovic (CWI).
Subsidie Centrum Wiskunde & Informatica (CWI). De Werkgemeenschap Scientific
Computing is hiervoor zeer erkentelijk.
Het dichtstbijzijnde treinstation is Amsterdam Science Park. Van hieruit is het minder dan 10 minuten
lopen naar het CWI. Het dichtstbijzijnde intercity station is Amsterdam Amstel. Vandaar gaat bus
40/240 naar het Science Park. Het is ook mogelijk om een fiets te huren of een taxi te nemen op het station.
Met de auto volgt u de Ring A10 en neemt u de afslag 'S113/Watergraafsmeer'.
Volg de borden Science Park, sla rechtsaf
op de Kruislaan en volg deze ongeveer 1 kilometer. Rijd onder de spoorwegtunnel door en ga op de eerste kruising
direct naar links, de Carolina MacGillavrylaan. Rij het Science Park in via het toegangshek aan de rechterkant.
Net voorbij de eerste kruising van straten aan de rechterkant vindt u het CWI. De hoofdingang is onder de poort
aan de linkerkant, herkenbaar aan het logo en de twee lambdamannen voor de deur.
Bij vertrek kunt u bij de organisatie een uitrijkaart vragen.
en routebeschrijving (Google Maps)
Aan deelname zijn geen kosten verbonden. Wel wordt u gevraagd zich te
Voor vragen kunt u terecht bij Margreet Nool
Mike Botchev (University Twente)
Fast time solution of the Maxwell equations by matrix functions
Solution of the time dependent Maxwell equations is an important
problem arising in many applications ranging from nanophotonics to
geoscience and astronomy. The problem is far from trivial, and
solutions typically exhibit complicated wave properties as well
as damping behavior.
Usually, special staggered time stepping schemes are used.
Although their time step may be severely restricted by the CFL
condition, performance of these schemes is hard to beat by modern
implicit or exponential time integration schemes.
We show that in some cases so-called time-stepping-free schemes
provide a very efficient alternative to the standard schemes.
These schemes employ the matrix exponential function and can be
implemented by special block Krylov subspace technigues
Joris Degroote (University Gent)
Partitioned simulation of fluid-structure interaction
In partitioned fluid-structure interaction (FSI) simulations,
a flow solver is coupled with a structural solver.
To satisfy the equilibrium of velocity and traction on the interface
between the fluid and the structure, coupling iterations
need to be performed in every time step.
A straightforward approach with fixed-point iterations often does not converge
for cases with strong interaction and incompressible fluids.
Based on the insights from a stability analysis of these fixed-points iterations,
quasi-Newton coupling schemes have been developed.
These techniques use both solvers as black-boxes and have successfully
been applied to various cases, including adjoint FSI problems. Furthermore,
a quasi-Newton iteration scheme can be accelerated by means of reuse,
a multi-level approach and a multi-solver approach.
Corien Prins (TU Eindhoven, Philips)
A Monge-Ampère equation in illumination optics
For a given light source with a known emittance, we want to design a
reflector or lens that converts this light into a given target intensity.
This inverse problem is governed by conservation of energy,
which results in a fully nonlinear elliptic partial differential
equation of the Monge-Ampère type.
This equation is known to be difficult to solve numerically.
The first difficulty occurs in the discretization of the interior.
The solution for the interior is not unique, therefore we need
a scheme that enforces the solution to be convex.
This is taken care of by a complicated scheme based on a wide stencil.
The second difficulty is the boundary condition.
The boundary condition is derived from the fact that all the light
from the source should be transported to the target area.
As a result, the light from the boundary of the source is
transported to the boundary of the target.
This boundary condition can be reformulated as a Hamilton-Jacobi equation.
We have successfully applied this scheme to design various reflectors and lenses.
I will give some example results for reflector design, such as a
reflector for street lighting, and a reflector that projects
a famous Dutch painting on a wall.
Dennis den Ouden (TU Delft)
Application of the Level-Set Method to a Mixed-Mode Driven Stefan Problem
This study focuses on the dissolution and growth of small particles within a
matrix phase. The dissolution or growth of the particle is assumed to be
affected by concentration gradient of one chemical element within the
matrix phase at the particle/matrix boundary and by an interface reaction,
resulting into a mixed-mode formulation. At the interface two conditions are
present for each chemical element, one governs the mass balance at the interface
and results into an equation of motion, and another condition describes the
reaction at the interface which results into a Robin boundary condition.
The formulated Stefan problem is solved using a level-set method by introducing
a time-dependent signed-distance function for which the zero-level contour
describes the particle/matrix interface. To ensure the signed-distance
property of the level-set function we employ a novel pde-free technique for
reinitialization of the level-set function.
Both the convection equation for the signed-distance function and the diffusion
equations are discretised by the use of finite-element techniques. The
convection equations for evolution of the signed-distance function are solved on
a pre-defined grid using a Streamline Upwind Petrov Galerkin finite-element
method. The diffusion equations are solved on a part of the pre-defined grid,
which is determined by the negative value of the signed-distance function.
Simulations with the implemented methods for the dissolution and growth of
various particle shapes show that the methods employed in this study correctly
capture the evolution of the particle/matrix interface, especially for
non-smooth interfaces and breaking of particles. At later stages of
growth and dissolution physical equilibrium is attained. We have also seen that
our solutions show mass conservation when we let the time-step and
mesh-coarseness tend to zero.
Tatyana Medvedeva (University Twente)
Local Discontinuous Galerkin Method for Inkjet Drop Formation and Motion
In inkjet printing accurate control of droplet formation is crucial to obtain
a high printing quality.
In order to investigate this complex process the
one-dimensional model proposed by Eggers and Dupont  was discretized
using a Local Discontinuous Galerkin method.
Viscosity and free surface terms are included in this discretization.
Since the resulting discrete system is very stiff an implicit time
integration method is used in combination with a Newton method.
The newly developed LDG method is verified with detailed computations of
the growth rate of the free surface and other exact solutions.
Also, simulation of the droplet formation in inkjet will be presented.
 J. Eggers, T.F. Dupont, Drop formation in a one-dimensional approximation of
the Navier-Stokes equation, J. Fluid Mech.262 (1994) 205-221.
Aram Markosyan (Centrum Wiskunde & Informatica)
Challenges in fluid modeling of streamer discharges
Streamers occur in lightning and sprites as well as in industrial
applications such as lighting, treatment of polluted gases and water,
disinfection, plasma medicine and plasma assisted combustion.
We have developed a high order fluid model for streamers.
The model consists of the balance equations for electron density,
average electron velocity, average electron energy and average electron energy flux.
We obtain these balance equations as velocity moments of Boltzmann’s equation
and are here coupled to the Poisson equation for the space charge electric field.
Here the results of simulations with the high order model, with a PIC/MC
(Particle in cell/Monte Carlo) model and with the hydrodynamic
drift-diffusion-reaction approximation are presented and compared.
The comparison with the MC model clearly validates our high order fluid model,
thus supporting its correct theoretical derivation and numerical implementation.
The results of the drift-diffusion-reaction model with local field approximation,
as usually used for streamer discharges, show considerable deviations.
In conclusion, the new high order fluid model captures non-local effects
in streamer dynamics that up to now were only inherent in the more microscopic PIC/MC simulations.
This is a significant step forward towards more accurate fluid models of plasmas.
Tinne Haentjens (University Antwerp)
Pricing American-style options in the Heston model with ADI FD schemes
We consider the valuation of American put options in the Heston stochastic
volatility model by numerically solving partial differential complementarity
First, the relevant time- dependent advection-diffusion-reaction operator
is numerically discretized on the two-dimensional spatial domain by applying
suitable finite difference schemes.
Subsequently, we propose several Alternating Direction Implicit (ADI)
type schemes for the time discretization of the obtained semidiscrete PDCPs.
We show that, combined with the Ikonen-Toivanen splitting approach (2009),
this renders a highly effective numerical solution method.
Jesse Dorrestijn (Centrum Wiskunde & Informatica)
Stochastic parameterization of atmospheric convection
In my talk I will present a data-driven approach for subgrid process parameterization.
In particular, data obtained from large-eddy simulation (LES) will be used to construct
a stochastic parameterization of atmospheric convection in climate models.
Atmospheric convection, associated with clouds, is a subgrid process in climate models
which is difficult to parameterize and at the same time it has a major impact on the model predictions.
LES is a high-resolution model which is able to resolve convection explicitly
in a 3D domain of horizontal size O(10-100 km).
The LES data can be used to construct discrete finite Markov chains that mimic the
convective behavior that is observed in the LES data.
The Markov chains will be conditioned on variables that can be resolved by a climate model.
In this way a realistic and computationally cheap parameterization of
the complicated process of atmospheric convection is obtained.
Finally, I will show that one can also use measurement data (e.g., radar data) to construct a parameterization.
Daan Huybrechs (KU Leuven)
Frame Computing: working with redundant representations of functions
The easiest way to approximate functions is by using a basis that describes a function space.
In one dimension, there are many well-known choices: orthogonal polynomials, Fourier series,
wavelets, splines, rational approximations... and so on.
In more than one dimension, fewer bases are available.
Moreover, the known bases are tied very much to simple geometries such as squares and rectangles.
One limiting restriction is that a basis is supposed to be non-redundant, which of course make
sense as redundancy is usually best avoided in computations.
Relaxing this condition leads to the more general concept of frames, which turn out to be very useful too.
The goal of this talk is to show that it is very easy to construct frames for general domains,
and that they can be manipulated efficiently and in a numerically stable way.
There are virtually no restrictions on the shape of the domain anymore.
Yet, algorithms are short and simple and there are a few other surprises.