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Wednesday, 20.06.2018, 10:00 (WIAS-406)
Forschungsseminar Mathematische Statistik
Prof. Z. Shi, Tsinghua University, Beijing, China:
PDE-based methods for Interpolation on High Dimensional Point Cloud
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, 4. Etage, Weierstraß-Hörsaal (Raum: 406)

Abstract
Interpolation on high dimensional point cloud provides a fundamental model in many data analysis and machine learning problems. In this talk, we will present some PDE based methods to do interpolation on point cloud. Applications in image processing and data analysis are shown to demonstrate the performance of our methods.

Host
Humboldt-Universität zu Berlin
WIAS Berlin
Wednesday, 20.06.2018, 14:30 (WIAS-ESH)
INSTITUTSKOLLOQUIUM
Prof. Dr. M. C. Ferris, Computer Sciences Department and Wisconsin Institute for Discovery, University of Wisconsin-Madison, USA:
Modelling 100 percent renewable electricity
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Abstract
In the past few decades, power grids across the world have become dependent on markets that aim to efficiently match supply with demand at all times via a variety of pricing and auction mechanisms. These markets are based on models that capture interactions between producers, transmission and consumers. Energy producers typically maximize profits by optimally allocating and scheduling resources over time. A dynamic equilibrium aims to determine prices and dispatches that can be transmitted over the electricity grid to satisfy evolving consumer requirements for energy at different locations and times. Computation allows large scale practical implementations of socially optimal models to be solved as part of the market operation, and regulations can be imposed that aim to ensure competitive behaviour of market participants. The recent explosion in the use of renewable supply such as wind, solar and hydro has led to increased volatility in this system. We develop models that aim to ensure enough generation capacity for the long term under various constraints related to environmental concerns, and consider the recovery of costs for this enhanced infrastructure. We demonstrate how risk can impose significant costs on the system that are not modeled in the context of socially optimal power system markets and highlight the use of contracts to reduce or recover these costs. We also outline how battery storage can be used as an effective hedging instrument.

Host
WIAS Berlin
June 25 – 27, 2018 (TU-H2036)
Workshop/Konferenz: Interplay of Random Media and Stochastic Interface Models (RMSI2018)
more ... Location
Technische Universität, Straße des 17. Juni 135, 10623 Berlin, Main building, Room H 2036

Host
Technische Universität Berlin
Tuesday, 26.06.2018, 13:30 (WIAS-ESH)
Seminar Numerische Mathematik
Prof. T. Iliescu, Virginia Tech, USA:
Physically-constrained data-driven correction for reduced order modeling of fluid flows
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Abstract
We propose a data-driven correction reduced order model (DDC-ROM) framework for the numerical simulation of fluid flows, which can be formally written as DDC-ROM = Galerkin-ROM + Correction. The new DDC-ROM is constructed by using ROM spatial filtering and data-driven ROM closure modeling (for the Correction term). Furthermore, we propose a physically-constrained DDC-ROM (CDDC-ROM), which aims at improving the physical accuracy of the DDC-ROM. The new physical constraints require that the CDDC-ROM operators satisfy the same type of physical laws (i.e., the Correction term's linear component should be dissipative and the Correction term's nonlinear component should conserve energy) as those satisfied by the fluid flow equations. To implement these physical constraints, in the data-driven modeling step, we replace the unconstrained least squares problem with a constrained least squares problem. We perform a numerical investigation of the new CDDC-ROM and standard DDC-ROM for a 2D channel flow past a circular cylinder at Reynolds numbers Re=100, Re=500, and Re=1000. To this end, we consider a reproductive regime as well as a predictive (i.e., cross-validation) regime in which we use as little as 50 % of the original training data. The numerical investigation clearly shows that the new CDDC-ROM is significantly more accurate than the DDC-ROM in both regimes.

Host
WIAS Berlin
Tuesday, 26.06.2018, 15:00 (WIAS-406)
Forschungsseminar Mathematische Statistik
Dr. A. Suvorikova, WIAS Berlin:
CLT in 2-Wasserstein space
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, 4. Etage, Weierstraß-Hörsaal (Raum: 406)

Host
Humboldt-Universität zu Berlin
Universität Potsdam
WIAS Berlin
Wednesday, 27.06.2018, 15:15 (WIAS-ESH)
Berliner Oberseminar „Nichtlineare partielle Differentialgleichungen” (Langenbach-Seminar)
Prof. Dr. L. Berlyand, Pennsylvania State University, USA:
Free boundary PDE models of active gels
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Abstract
here

Host
WIAS Berlin
Humboldt-Universität zu Berlin
Friday, 29.06.2018, 14:00 (WIAS-ESH)
Halbleiterseminar
Prof. Dr. M. Willatzen, Technical University of Denmark, Dänemark:
Strain and symmetry effects in Bi2Se3 thin films using the k·p method
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Further Informations
WIAS-Halbleiterseminar

Host
WIAS Berlin
Friday, 29.06.2018, 14:30 (WIAS-ESH)
Halbleiterseminar
Dr. M. Caro, Aalto University, Finnland:
Growth of amorphous carbon simulated with a machine-learning based interatomic potential
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Further Informations
WIAS-Halbleiterseminar

Host
WIAS Berlin
Tuesday, 03.07.2018, 15:00 (WIAS-406)
Seminar Modern Methods in Applied Stochastics and Nonparametric Statistics
Dr. P. Pigato, WIAS Berlin:
Asymptotic analysis of rough volatility models
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, 4. Etage, Weierstraß-Hörsaal (Raum: 406)

Host
WIAS Berlin
Wednesday, 04.07.2018, 15:15 (WIAS-ESH)
Berliner Oberseminar „Nichtlineare partielle Differentialgleichungen” (Langenbach-Seminar)
Dr. J. Mankau, Technische Universität Dresden:
A descent step algorithm based on generalized gradients on sets
more ... Location
Weierstraß-Institut, Mohrenstr. 39, 10117 Berlin, Erdgeschoss, Erhard-Schmidt-Hörsaal

Abstract
here

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

Host
WIAS Berlin
Humboldt-Universität zu Berlin