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Winter Term 2012/2013, Doctoral School Events
2012-11-09 Doctoral School Seminar (Seminarraum 2, Institut f. Geometrie, Kopernikusgasse 24, 10:30—13:00, TU)
Thi Tuyet Luong (TU, advisor P. Beglez): On a class of pseudo-analytic functions: representations, generalizations and applications [show abstract]
Michael Juhos (KFU, advisor R. Perko): Contributions to a mathematically stringent stochastics course in High School (AHS-Oberstufe) [show abstract]
Gilbert Peralta (KFU, advisor G. Propst): Smooth Global Solution to a 2 × 2 Hyperbolic System on a Bounded Interval with Damping [show abstract]
2012-11-30 Doctoral School Seminar (KFU, cancelled)
2012-12-14 Doctoral School Seminar (Seminarraum 2, Institut f. Geometrie, Kopernikusgasse 24, 10:30—13:00, TU)
Peter Scheibelhofer (TU, advisor E. Stadlober): Improvements on Prediction Accuracy and Reliability of a Predictive Maintenance Model for Semiconductor Fabrication [show abstract]
Johannes Cuno (TU, advisor W. Woess): Random Walks on Baumslag-Solitar Groups: The Driftless Case [show abstract]
Martin Piffl (TU, advisor E. Stadlober): The Rectangle Design - A mixture between stochastic and deterministic space filling design [show abstract]
Nina Schmuck (TU, advisor C. Heuberger): The minimum number of subtrees of trees [show abstract]
2013-01-25 Doctoral School Seminar ( Inst. Mathematik, Heinrichstr. 36, HS 11.02. 15:00—17:30, KFU)
Christoph Gruber (KFU, advisor B. Thaller): The Modelling Week – Research on educational aspects and professional perspectives [show abstract]
Karl-Heinz Graß (KFU, advisor B. Thaller): On the Influence of Spatial Abilities on Basic Number Processing and Arithmetic [show abstract]
Thomas Mendlik (TU, advisor E. Stadlober): Selecting representative climate simulations for impact studies

Abstract: In climate change impact research it is crucial to carefully select the climatic input in order to realistically represent the uncertainty in climate scenarios. This study represents one possible selection framework, taking model interdependence into account, leading to a more reliable ensemble of simulations. Multivariate statistical methods are used to describe model dependence based on the spatial patterns of their climate change signals.[hide abstract]

Florian Lehner (TU, advisor J. Wallner): Distinguishing graphs with intermediate growth [show abstract]