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Monday, 20.11.2017, 14:00 (WIAS-ESH)
Seminar Quantitative Biomedizin
Prof. J.-F. Gerbeau, Inria de Paris & Sorbonne Universités UPMC Paris 6:
Numerical methods for variability modeling and biomarkers design
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Abstract
Many phenomena are modeled by deterministic differential equations, whereas the observation of these phenomena, in particular in life science, exhibit an important inter-subject variability. We will address the following question: how the model can be adapted to reflect the variability observed in a population? We will present a non-parametric and non-intrusive procedure based on offline computations of the deterministic model. The algorithm infers the probability density function of uncertain parameters from the matching of the observable statistical moments at different points in the physical domain. This inverse procedure is improved by incorporating a point selection algorithm that both reduces its computational cost and increases its robustness. The method will be illustrated for different models, based on Ordinary or Partial Differential Equations. In particular, applications to experimental data sets in cardiac electrophysiology will be presented.
In biophysics and medicine, the system of interest is often studied by monitoring quantities, called biomarkers, extracted from measurements. These biomarkers convey some information about relevant hidden quantities, which can be seen as parameters of an underlying model. We propose a strategy to automatically design biomarkers to estimate a given parameter. Such biomarkers are chosen as the solution of a sparse optimization problem. We will show applications in electrophysiology where our algorithm provides composite biomarkers which improve the parameter estimation and the classification problems.

Host
WIAS Berlin
Tuesday, 21.11.2017, 10:15 (WIAS-406)
Seminar Nichtlineare Optimierung und Inverse Probleme
Prof. E. Charkaluk, Ecole Polytechnique, Frankreich:
Fatigue of metallic additive manufactured structures: What can we learn from other manufacturing processes?
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, 4. Etage, Weierstraß-Hörsaal (Raum: 406)

Host
WIAS Berlin
Tuesday, 21.11.2017, 15:00 (WIAS-406)
Seminar Modern Methods in Applied Stochastics and Nonparametric Statistics
V. Avanesov, WIAS Berlin:
Dynamics of high-dimensional covariance matrices
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, 4. Etage, Weierstraß-Hörsaal (Raum: 406)

Abstract
We consider the detection and localization of an abrupt break in the covariance structure of high-dimensional random data. The study proposes two novel approaches for this problem. The approaches are essentially hypothesis testing procedures which requires a proper choice of a critical level. In that regard calibration schemes, which are in turn different non-standard bootstrap procedures, are proposed. One of the approaches relies on techniques of inverse covariance matrix estimation, which is motivated by applications in neuroimaging. A limitation of the approach is a sparsity assumption crucial for precision matrix estimation which the second approach does not rely on. The description of the approaches are followed by a formal theoretical study justifying the proposed calibration schemes under mild assumptions and providing the guaranties for the break detection. Theoretical results for the first approach rely on the guaranties for inference of precision matrix procedures. Therefore, we rigorously justify adaptive inference procedures for precision matrices. All the results are obtained in a truly high- dimensional (dimensionality p _x001d_ n) finite-sample setting. The theoretical results are supported by simulation studies, most of which are inspired by either real- world neuroimaging or financial data.

Host
WIAS Berlin
November 22, 2017 (WIAS-ESH)
Workshop/Konferenz: Colloquium in Mathematical Statistics
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Host
Humboldt-Universität zu Berlin
Universität Potsdam
WIAS Berlin
Wednesday, 22.11.2017, 14:30 (WIAS-406)
FG Stochastische Systeme mit Wechselwirkung
Dr. S. Simonella, Technische Universität München:
Correlations in the mean field dynamics: a random walk expansion
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, 4. Etage, Weierstraß-Hörsaal (Raum: 406)

Host
WIAS Berlin
Friday, 24.11.2017, 14:00 (WIAS-ESH)
Halbleiterseminar
Dr. O. Marquardt, WIAS Berlin:
Anwendungen der kp-Theory
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Further Informations
Halbleiterseminar

Host
WIAS Berlin
Monday, 27.11.2017, 14:00 (WIAS-ESH)
Dr. A. Höner, Forschungsverbund Berlin e.V.:
Funding opportunities for WIAS Researchers within the European Framework Programme Horizon 2020
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Host
WIAS Berlin
Tuesday, 28.11.2017, 10:15 (WIAS-406)
Seminar Nichtlineare Optimierung und Inverse Probleme
Ch. Löbbert, RWTH Aachen:
Parallel arithmetic for distributed tensors in the HT-format
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, 4. Etage, Weierstraß-Hörsaal (Raum: 406)

Host
WIAS Berlin
Wednesday, 29.11.2017, 15:15 (WIAS-ESH)
Berliner Oberseminar „Nichtlineare partielle Differentialgleichungen” (Langenbach-Seminar)
Dr. P. Gurevich, Freie Universität Berlin:
Rattling in hysteretic reaction-diffusion systems
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Further Informations
Berliner Oberseminar “Nichtlineare Partielle Differentialgleichungen” (Langenbach Seminar)

Host
WIAS Berlin
Humboldt-Universität zu Berlin
Thursday, 30.11.2017, 14:00 (WIAS-ESH)
Seminar Numerische Mathematik
Priv.-Doz. Dr. M. Pavelka, Charles University, Tschechische Republik:
42=GENERIC --- Unified Hamiltonian description of solids and fluids
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Abstract
GENERIC (General equation for non-equilibrium reversible-irreversible coupling) provides evolution equations for many physical theories: fluid mechanics, kinetic theory, mechanics of solids, plasticity, non-Newtonian fluid mechanics, electromagnetic field coupled with matter, dynamics of mixtures, etc. The equations consist of a reversible Hamiltonian part, generated by a Poisson bracket and energy, and by an irreversible gradient part, generated by a dissipation potential and entropy. The purpose of this talk is to provide introduction into GENERIC and discuss some specific applications.

Host
WIAS Berlin
Thursday, 30.11.2017, 16:00 (WIAS-ESH)
Forschungsseminar Mathematische Modelle der Photonik
S. Pickartz, WIAS Berlin:
All-optical control of fiber-solitons
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Host
WIAS Berlin
Monday, 11.12.2017, 14:00 (WIAS-ESH)
INSTITUTSKOLLOQUIUM
J. Borchardt/P. Mathé, WIAS:
Der block-orientierte Prozesssimulator BOP: Was er kann und was er tat.
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Abstract
BOP dient zur Prozesssimulation, insbesondere zum Lösen großer DAE Systeme (differential-alegebraic systems). Über viele Jahre hinweg wurden mit BOP Simulationen von Gas/Öl-Turbinen vorgenommen, in der Kooperation mit Alstom, Switzerland. Um eine derartige praxisbezogene Zusammenarbeit langfristig zu gestalten, wurden die Fähigkeiten des solvers weiterentwickelt. Peripher wurden verschiedene Verfahren implementiert, insbesondere zur deterministischen und Bayes'schen Optimierung. Die Simulationsergebnisse können vielfältig visualisiert werden. Im Vortrag werden diese Entwicklungen vorgestellt. Weiterhin wird die erfolgreiche Zusammenarbeit mit dem Kooperationspartner im Rückblick skizziert.

Host
WIAS Berlin