SC²S Colloquium - March 30, 2016

Date:	March 30, 2016
Room:	02.07.023
Time:	3:00 pm, s.t.

Aleksandra Pachalieva: Parallel, Dynamically Adaptive 2.5D Porous Media Flow Simulation on Xeon Phi Architectures

TBA

Florian Klemt: Sparse grids with data-aware hierarchical subspaces for regression

The goal of this bachelors thesis is to construct and implement a median based sparse grid and apply it for regression problems. By basing the grid on medians we obtain a data-aware structure. For non-uniform datasets this leads to better regression results than a regression based on regular sparse grids. We test and validate the method and compare it against regular sparse grids. In order to do that we wrote a program in the programming language Python consisting of two parts, one constructing the median based sparse grid on a given dataset and one using it to compute regression on the same dataset. For testing purposes we used a lot of artificially generated datasets, to show the basic improvements achieved with our approach. Later on we use data from the Sloan Digital Sky Survey, which has to do with the cosmological redshift of galaxies, as a real life example to further prove results from previous tests and to show the limits of median based sparse grids.