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Computational Analysis Seminar

Wednesdays, 11:15-12:30
Research I Seminar Room

The Computational Analysis Seminar is a graduate research seminar covering topics from applied analysis, numerical analysis, algorithms, and applications.

Fall Semester 2010 Schedule

Date Time Speaker Title
Friday
Sep 3
11:15 Michael Holst
University of California, San Diego
Adaptive methods for multiscale/multiphysics problems in biochemistry and biomedicine
Wednesday
Sep 8
11:15 Peter Oswald
Jacobs University
Greedy meets Gauss-Southwell
Wednesday
Sep 15
11:15 Zymantas Darbenas
Jacobs University
On error estimators for the finite element method I
Wednesday
Sep 22
11:15 Zymantas Darbenas
Jacobs University
On error estimators for the finite element method II
Wednesday
Sep 29
11:15 Pavel Zheltov
Jacobs University
Greedy algorithms, the approximation theory point of view
Wednesday
Oct 6
11:15 Marcel Oliver
Jacobs University
Fourier transforms, Strang-Fix conditions, and the Hamiltonian particle-mesh method I
Wednesday
Oct 13
11:15 Marcel Oliver
Jacobs University
Fourier transforms, Strang-Fix conditions, and the Hamiltonian particle-mesh method II
Wednesday
Nov 3
11:15 Peter Oswald
Jacobs University
Projectors on linear finite element spaces over arbitrary triangulations
Wednesday
Nov 10
11:15 Marcel Oliver
Jacobs University
Numerical benchmarking of a class of balance models for rotating shallow water
Wednesday
Nov 17
11:15 Karolis Blazevicius
Jacobs University
On compartmental model and its extension for concentration of diffusable tracer in lesion
Wednesday
Nov 24
11:15 Mats Ehrnström
Universität Hannover
Existence of steady water waves with multiple critical layers
Wednesday
Dec 1
11:15 Felix Krahmer
Universität Bonn
New and improved Johnson-Lindenstrauss embeddings via the Restricted Isometry Property
Wednesday
Dec 8
11:15 Orif Ibrogimov
Jacobs University
On the spline frames with arbitrary polynomial degree in Sobolev spaces
Wednesday
Dec 15
10:30 Torben Pätz
Fraunhofer MEVIS and Jacobs University
Numerical solution of stochastic PDEs

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