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New preprint "The Localized Reduced Basis Multiscale Method" published.

23.04.2012, 10:51

We recently published our work on "The Localized Reduced Basis Multiscale Method" as...

Reduced Basis Summer School 2012

22.02.2012, 00:00

The time and date for this year's reduced basis PhD summer school have been announced!

New SimTech Preprint published

11.01.2012, 17:17

We recently published our work on "Online Reduced Basis Construction Procedure for Model...

You are here: » Organization » People » Sven Kaulmann

Dipl.-Math. Sven Kaulmann

Department	Universität Stuttgart Department of Mathematics Lehrstuhl für Angewandte Mathematik
Address	Institute for Applied Analysis and Numerical Simulation Pfaffenwaldring 57 D-70569 Stuttgart Germany
Phone	+49 (0)711 - 685 - 62069
Fax	+49 (0)711 - 685 - 65599
Room	7.116
e-Mail	sven.kaulmann(at)mathematik.uni-stuttgart.de

Curriculum Vitae

Work Experience

since 2011		Research assistant, SimTech Cluster of Excellence, Universität Stuttgart
2009-2011		Student assistant, Institut für Numerische und Angewandte Mathematik, Universität Münster
2007-2009		Salesman for german Apple© distributor
2005-2006		Civilian service

Education

Mar 2011		Diploma in Mathematics, Universität Münster
2008-2010		Main study period, Mathematics, Universität Münster
Oct 2008		Intermediate examination, Mathematics, Universität Münster
2007-2008		Undergraduate studies, Mathematics, Universität Münster
2006-2007		Undergraduate studies, Mathematics, Universität Bonn

My full vitae can be found here.

Publications

Talks

2011-05-19: A Localized Reduced Basis Approach for Heterogenous Multiscale Problems

In this talk, held at the Oberseminar of the Institute for Applied Analysis and Numerical Simulation (University of Stuttgart), I presented the results of my diploma thesis.

File

2010-01-15: The Reduced Basis Method: Basis Ideas, Applications and Implementation Aspects

This minisymposium talk during the third chilean workshop on numerical analysis of partial differential equations (WONAPDE, Universidad de Concepción) provides an overview of the basic ideas of the reduced basis method.