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The Interdisciplinary Center for Scientific Computing (IWR) and its affiliated institutions organize a large number of workshops, conferences and other events for discussing latest scientific results as well as identifing upcoming challenges in the field of Scientific Computing. In addition the IWR regularly hosts events which emphasis on broadening and improving the interdisciplinary dialogue.

Upcoming Events: 2019

Event Archive: 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010-2000



"7th International Conference On High Performance Scientific Computing"

March 19-23, 2018 • Hanoi, Vietnam

Topics: Modeling, Simulation and Optimization of Complex Processes

Detailed information can be found at the conference websites

The conference is jointly organized by the IWR and the Institute of Mathematics, Vietnam Academy of Science and Technology.


"DUNE/PDELab Course"

Prof. Peter Bastian •  IWR
February 26 - March 2, 2018

The Distributed and Unified Numerics Environment (DUNE) is a software framework for the numerical solution of partial differential equations with grid-based methods. Using generic programming techniques it strives for both: high flexibility (efficiency of the programmer) and high performance (efficiency of the program). DUNE provides, among other things, a large variety of local mesh refinement techniques, a scalable parallel programming model, an ample collection of finite element methods and efficient linear solvers.

DUNE-PDELab is a powerful tool for implementing discretisations of partial-differential equations. It helps to substantially reduce the time to implement discretizations and solvers for (systems of) PDEs based on DUNE. It is not only suitable for rapid prototyping but also for building highly performant simulation software and is used by a variety of projects already.

This one week course will provide an introduction to the most important DUNE modules and especially to DUNE-PDELab. At the end the attendees will have a solid knowledge of the simulation workflow from mesh generation and implementation of finite element and finite volume methods to visualization of the results. Topics covered are the solution of stationary and time-dependent problems, as well as local adaptivity, the use of parallel computers and the solution of non-linear PDE’s and systems of PDE’s.

Location: Mathematikon • Conference Room / 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

"Mathematics of Life" Special Interest Group - Colloquium

"Cancer Modelling Through Evolutionary Game Theory"

Prof. David Basanta & Dr. Jeffrey West • H. Lee Moffitt Cancer Center, USA
February 5, 2018 • 14:00

Evolutionary game theory (EGT) has recently become a popular modelling framework for understanding, modeling, and treating cancer. EGT is a quantitative framework for modeling evolution and natural selection. The purpose of this event is to introduce the attendees to the topic, the limitations of EGT and the research questions that are being tackled in the field. The event features an introductory talk to this research area by Dr. Jeffrey West and a scientific lecture from Prof. David Basanta. Both speakers are researchers from the Integrated Mathematical Oncology Department at H. Lee Moffitt Cancer Center, Tampa, USA.

Dr. Jeffrey West - "Modeling the evolution of cancer from a game theoretic perspective"
Tumor development is an evolutionary and ecological process in which a heterogeneous population of cells with different growth capabilities compete for space and resources. In this Darwinian competition, systemic therapy strongly selects for resistant phenotypes, leading to eventual unconstrained proliferation of resistant populations even when no drug is present—an evolutionary phenomenon called “competitive release.” Often, the evolution of resistance comes at a cost, as it requires diversion of cellular resources from proliferation and invasion to the resistance mechanism.

What are the minimal ingredients needed to recreate some of the emergent features of such an evolving complex ecosystem? The first section of this talk will provide an overview of important game theoretic modeling frameworks historically used in modeling cancer progression and therapeutics: deterministic replicator dynamics, stochastic Moran process models, and spatial cellular automata games. The complex interactions within the tumor ecosystem can often be recast in the form of a game payoff table, to which the analytical tools of evolutionary game theory can be applied. In the second half, we highlight the utility, clarity, and power that such models provide, despite (and because of) their simplicity and built-in assumptions.

Prof. David Basanta - "Evolutionary Game Theory to define cancer ecology and evolution"
The importance of evolutionary dynamics in cancer cannot be understated, making mathematical tools like Evolutionary Game Theory (EGT) well suited to investigate the emergence and fixation of phenotypes typically characterized by the hallmarks of cancer. Importantly, and even if not part of the strictest definition of EGT, the storm can be made part of the game and its role studied in connection to the progression of the tumor and its response to treatment. In this talk I will review some of my work in these topics and debate the merits of abstract versus experimentally-driven approaches in mathematical oncology.

14:00 Introductory tutorial by Dr. Jeffrey West
15:30 Meet & Greet (Mathematikon • Common Room / 5th Floor)
16:00 Lecture by Prof. David Basanta

Location: Mathematikon • Conference Room / 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

14. Modellierungstag Rhein-Neckar

"Geobasierte Modelle"

1. Februar 2018 • 14:00

Mathematische Modelle kommen in unserem Alltag in vielfältigen Varianten vor. Dabei spielt die Lokalisierung eine besonders wichtige Rolle: Ein abstraktes Modell wird konkretisiert, indem es mit lokalen Daten angereichert und so präzise für einen Kunden angepasst wird.

Die geografische Komponente ist vor allem in der modellgestützten Optimierung eine entscheidende Größe. Ein Beispiel mag dies verdeutlichen: Während die Fahrroutenoptimierung in nicht-geobasierten Modellen auf abstrakte Grundgrößen wie durchschnittliche Fahrtzeit von Ort zu Ort zurückgreifen muss, können in Modellen mit detaillierten geografischen Daten exakte Vorhersagen für die Fahrtdauer beim Einsatz unterschiedlicher Fahrzeuge der zur Verfügung stehenden Flotte errechnet und in die Planoptimierung eingespeist werden. Die Kopplung mit aktuellen Verkehrsdaten erlaubt sogar eine tagesabhängige Nachoptimierung und so eine noch bessere Anpassung der Fahrpläne an die realen Gegebenheiten.

Diese Verbesserungen können auch in vielen anderen Bereichen erreicht werden:

  • Modellierung der Ausbreitung von Infektionserkrankungen in Abhängigkeit von regionalem Klima und Wetter
  • Hochwasservorhersage auf Basis detaillierter Geländekarten
  • Planung von Funknetzwerken unter Berücksichtigung von Bebauungsplänen

Der Zusammenhang zu geografischen Daten ist so offensichtlich, dass die Anbindung geografischer Informationssysteme oft selbstverständlich erscheint. Auf dem Modellierungstag wollen wir uns mit dieser Facette der Modellbildung beschäftigen und auf Schwierigkeiten bei der Modellerstellung, Risiken in der Datengenerierung und Chancen im wirtschaftlichen Einsatz eingehen. Experten aus Wissenschaft, Forschung und Praxis geben dazu Einblicke in aktuelle Projekte und neue Entwicklungen.

Der Modellierungstag Rhein-Neckar eröffnet Praktikern und Wissenschaftlern die Gelegenheit, Innovationen zur Diskussion zu stellen, Gemeinsamkeiten und Unterschiede der verwendeten Modellierungsansätze herauszuarbeiten und den gegenseitigen Erfahrungsaustausch zu pflegen.

>Die Veranstaltung ist öffentlich. Der Eintritt ist frei. Um Anmeldung bis zum 28. Januar 2018 wird gebeten<

Veranstaltungsort: Mathematikon • Konferenzraum / 5. Stock • Im Neuenheimer Feld 205 • 69120 Heidelberg

IWR Colloquium Winter Term 2017 / 2018

"Electrostatics in Protein Structure and Action"

Prof. Huan-Xiang Zhou •  University of Illinois at Chicago, USA
January 24, 2018 • 16:15

Proteins are made up of 20 types of amino acids with varying physical properties.  Amino acids with ionizable and polar groups, through forming ion pairs, hydrogen bonds, and other less specific electrostatic interactions, impart important properties to proteins.  Modulation of the charges on these amino acids, e.g., by pH and by phosphorylation and dephosphorylation, have profound effects such as protein denaturation and switch-like response of signal transduction networks. This talk will present a unifying theme among the various effects of protein charges and polar groups.  Simple models will be used to illustrate basic ideas about electrostatic interactions in proteins, and these ideas in turn will be used to elucidate the roles of electrostatic interactions in protein structure, folding, binding, condensation, and related biological functions.  In particular, I will examine how charged side chains are spatially distributed in various types of proteins and how electrostatic interactions affect thermodynamic and kinetic properties of proteins.  Both important historical developments and recent experimental and theoretical advances in quantifying electrostatic contributions of proteins will be highlighted.

Prof. Zhou is the most recently appointed Romberg Guest Professor at the HGS MathComp. The program invites distinguished researchers to stay at the graduate school for an extended period. Over the course of three years, the Romberg professors are visiting the graduate school several times, developing new ideas in close collaboration with doctoral students and fellow researchers.

Location: Mathematikon • Conference Room / 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg


"Difference Operators in Sobolev Spaces and Applications"

Prof. Alexander L. Skubachevskii •  RUDN University, Russia
January 24, 2018 • 10:15

The theory of elliptic differential-difference equations has many interest-ing applications e.g. to

  • the theory of sandwich shells and plates,
  • the Kato problem concerning the analyticity of the square root of an analytic  function of dissipative operators,
  • nonlocal boundary value problems arising in plasma theory,
  • the theory of multidimensional diffusion processes,
  • nonlinear optics, …

This theory is based on the properties of difference operators acting in Sobolev spaces. Most important property of a regular difference operator:

It maps the Sobolev space of the first order with the homogeneous Dirichlet boundary condition onto the subspace of the Sobolev space of the first order with nonlocal boundary conditions continuously and bijectively. This result allows to reduce boundary value problems for strongly elliptic differential-difference equations to elliptic equations with nonlocal boundary conditions. Conversely, in some cases nonlocal elliptic boundary value problems can be reduced to elliptic differential-difference equations.

Location: Mathematikon • Seminar Room 12 / 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg

67. Bildverarbeitungsforum

"10 Jahre Heidelberg Collaboratory for Image Processing (HCI)"

12. Januar 2018 • 13:00 - 20:00 Uhr

Die Bildverarbeitung am Interdisziplinären Zentrum für Wissenschaftliches Rechnen (IWR) hat sich über die Jahrzehnte aus kleinen Anfängen kontinuierlich und organisch weiterentwickelt. Von Anfang an war die Grundlagenforschung eng mit Applikationen aus den Umwelt- und Lebenswissenschaften und der Industrie verknüpft. Zehn Jahre erfolgreiche Zusammenarbeit zwischen Forschung und Industrie im HCI sind einen Rückblick auf das Konzept, die wichtigsten Forschungsergebnisse und einen Ausblick auf die Zukunft wert, in einer Sonderveranstaltung des Heidelberger Bildverarbeitungsforums und eines gemeinsamen Festkolloquiums der Fakultät für Physik und Astronomie und des IWR.

> Die Teilnahme ist kostenfrei - Anmeldung erforderlich <

Veranstaltungsort: Hörsaalgebäude Physik • Hörsaal 1 • Im Neuenheimer Feld 308 • 69120 Heidelberg

IWR Colloquium Winter Term 2017 / 2018

"Stabilised Finite Element Methods for Variational Inequalities"

Rolf Stenberg • Aalto University, Finland
January 10, 2018 • 16:15

We survey our recent and ongoing work [1,2] on finite element methods for contact problems. Our approach is to first write the problem in mixed form, in which the contact pressure act as a Lagrange multiplier. In order to avoid the problems related to a direct mixed finite element discretisation, we use a stabilised formulation, in which appropriately weighted residual terms are added to the discrete variational forms. We prove that the formulation is uniformly stable, which implies an optimal a priori error estimate. Using the stability of the continuous problem, we also prove a posteriori estimates, the optimality of which is ensured by local lower bounds. In the implementation of the methods, the discrete Lagrange multiplier is locally eliminated, leading to a Nitsche-type method [3].

For the problems of a membrane and plate subject to solid obstacles, we present numerical results.

Joint work with Tom Gustafsson (Aalto) and Juha Videman (Lisbon).

[1]     T. Gustafsson, R. Stenberg, J. Videman. Mixed and stabilized finite element methods for the obstacle problem. SIAM Journal of Numerical Analysis 55 (2017) 2718–2744
[2]    T. Gustafsson, R. Stenberg, J. Videman. Stabilized methods for the plate obstacle problem.
[3]    E. Burman, P. Hansbo, M.G. Larson, R. Stenberg. Galerkin least squares finite element method for the obstacle problem. Computer Methods in Applied Mechanics and Engineering 313 (2017) 362–374

Location: Mathematikon • Conference Room / 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg


"Processes in Branching Networks - Modelling Structures in Plant Physiology and Blood Vessels in the Human Heart"

Dr. Somporn Chuai-Aree •  Prince of Songkla University, Thailand
January 10, 2018 • 14:15

Mathematical modelling and simulation of physiological processes in organs and organisms are confronted with the challenge that the processes take place in complex structures, often on branching networks. In this lecture we consider networks arising in plants (“trees”, root-systems, vessel systems in leaves) and in vascular systems - in particular in cardio vascular systems. We are going to focus on the following topics:

  1. characterization of the arising complex networks and construction of a coding system, including the essential information required in real applications;
  2. requirements for the data, methods for data collection and processing;
  3. algorithms to solve the geometric inverse problem to determine from CT-data the geometry  and the developed code of the underlying network;
  4. presentation and discussion of results obtained in recent research at IWR for the blood vessel system for the human heart, based on real CT-data;
  5. open problems, requirements from the applications.

Location: Mathematikon • Seminar Room 12 / 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Last Update: 27.02.2018 - 10:35

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