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(Former) Research group Convex Geometry

Secretariat
Allianz-Gebäude (05.20)
Room 4A-16

Address
Institut für Algebra und Geometrie
Universität Karlsruhe (TH)
Kaiserstr. 89-93
76133 Karlsruhe

Office hours:
Montag bis Freitag, 9:15 Uhr bis 11:15 Uhr

Tel.: ++49 721 608 4 3943

Fax.: ++49 721 608 4 6909

Stochastische Geometrie/Stochastic Geometry (Summer Semester 2011)

Lecturer: Prof. Dr. Daniel Hug
Classes: Lecture (0152600), Problem class (0152700)
Weekly hours: 4+2


Schedule
Lecture: Monday 11:30-13:00 Z 2
Thursday 11:30-13:00 Z 2
Problem class: Wednesday 15:45-17:15 Z 2
Lecturers
Lecturer, Problem classes Prof. Dr. Daniel Hug
Office hours: Nach Vereinbarung.
Room 2.051 Kollegiengebäude Mathematik (20.30)
Email: daniel.hug@kit.edu
Problem classes Andreas Reichenbacher
Office hours: Montags, 10:00-11:00 Uhr oder nach Vereinbarung
Room 2.008 Kollegiengebäude Mathematik (20.30)
Email: andreas.reichenbacher@kit.edu

Course description

In Stochastic Geometry mathematical models are developed for describing and analyzing random geometric structures. The course provides an introduction to the foundations of this field which is also highly interesting from an applied point of view.

In the first part, random closed sets and point processes are introduced as basic models. Then specific geometric characteristics of random structures will be developed. It is also planned to include an introduction to random tessellations. Specific topics to be covered include: geometric point processes and random closed sets, stationarity and isotropy, Poisson and related point processes, germ-grain models and Boolean model, specific intrinsic volumes, contact distributions, random tessellations.


Prerequisites

Basic concepts of probability theory (including some measure theory), convex geometry and stochastic processes are helpful, but not required.


References

  • I. Molchanov: Statistics of the Boolean Model for Practitioners and Mathematicians, Wiley, 1997.
  • J. Ohser, F. Mücklich: Statistical Analysis of Microstructures in Materials Science, Wiley, 2000.
  • R. Schneider, W. Weil: Stochastic and Integral Geometry, Springer, 2008.
  • D. Stoyan, W. S. Kendall, J. Mecke: Stochastic Geometry and its Applications, Wiley, 1995, 2nd ed.