Integration, Approximation and Discrepancy - Part II of III
For Part I, see MS-We-D-31
For Part III, see MS-Th-BC-31

Date: August 12
Time: 16:00--18:00
Room: 405

(Note: Click title to show the abstract.)

Ullrich, Mario (Johannes Kepler Univ.)
Gnewuch, Michael (Christian-Albrechts-Universität zu Kiel)

Abstract: Numerical methods for high dimensional integration and
approximation play a crucial role in a number of applications.
This session brings together experts from the areas of
integration, approximation, discrepancy theory, information-based
complexity, potential theory, and partial differential equations (PDE)
to discuss numerical methods for these types of problems.
In this context, well distributed point sets are important.
The generation of good point sets for various problems as well as
bounds for their discrepancy and integration error will be covered in
the minisymposium.
Particular emphasis is given to the dependence of the results on
the dimension.
Approximation of functions is intimately related with the
integration problem and the proposed minisymposium should
stimulate the exchange between both communities.

$L_p$-discrepancy of higher order digital sequences
Markhasin, Lev (Univ. of Stuttgart)

Linear versus non-linear approximation in the average case setting
Plaskota, Leszek (Univ. of Warsaw, Inst. of Applied Mathematics & Mechanics)

An implementation of the Multivariate Decomposition Method
Gilbert, Alexander (The Univ. of New South Wales)
Kuo, Frances (Univ. of New South Wales)

Quasi-Polynomial Tractability for Standard Information
Wozniakowski, Henryk (Columbia Univ. & Univ. of Warsaw)


Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA