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

Date: August 12
Time: 13:30--15:30
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.

Quasi-Monte Carlo sampling for non-uniform measures
Aistleitner, Christoph (Univ. Linz)

A universal cubature formula for functions with mixed smoothness
Ullrich, Mario (Johannes Kepler Univ.)

Probabilistic Discrepancy Bounds for Latin Hypercube Samples
Gnewuch, Michael (Christian-Albrechts-Universität zu Kiel)

Optimality of Taylor algorithm for solving IVPs with presence of noise
Morkisz, Pawel (AGH Univ. of Sci. & Tech., Krakow)


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