Prof. Dr. Peter Gritzmann

Principal Investigator

Applied Geometry and Discrete Mathematics
Technical University of Munich
Boltzmannstr. 3, 85747 Garching

 

  • Dissertation 1980, Habilitation 1984, U Siegen
  • 1985-1997: Associate, Full Professor, U Siegen, U Augsburg, U Trier
  • since 1997: Full Professor for Mathematics, TU Munich
  • since 2008: Adjunct Professor for Computer Science, TU Munich
  • Visiting Professor University of Washington, Seattle, USA, Institute for Mathematics and its Applications, University of Minnesota, Minneapolis, USA, Université Paris VII

Research interests:

Discrete Mathematics, Applied Geometry and Optimization.

Contact and further information

Geometric clustering for the consolidation of farmland and woodland (with S. Borgwardt und A. Brieden), Math. Intelligencer, 26 (2014), 37-44.

On optimal weighted balanced clusterings: gravity bodies and power diagrams (with A. Brieden), SIAM J. Discrete Math., 26 (2012), 415-434.

Supply chain safety: A Diversification model based on clustering (with A. Brieden and M. Öllinger), In: "Supply Chain Safety Management: Achieving Security and Robustness in Logistics'', (Ed. by M. Eßig, E.-M. Kern, S. Klein-Schmeik and M. Hülsmann), Springer, 2012, 323-351.

Constrained minimum-k-star clustering and its application to the consolidation of farmland (with S. Borgwardt and A. Brieden), Operational Research, 11 (2011), 1-17.

On clustering bodies: Geometry and polyhedral approximation (with A. Brieden), Discrete Comp. Geom., 44 (2010), 508-534.

Minimum cycle bases and their applications (with F. Berger and S. de Vries). In: "Algorithmics of Large and Complex Networks'' Springer LNCS 5515 (Ed. by J. Lerner, D. Wagner, K.A. Zweig), 2009, 34-49.

Minimum cycle bases for network graphs (with F. Berger and S. de Vries). Algorithmica, 40 (2004), 51-62.

Deterministic and randomized polynomial-time approximation of radii (with A. Brieden, R. Kannan, V. Klee, L. Lovász und M. Simonovits), Mathematika, 48 (2001), 63-105.

Approximation of diameters: randomization doesn't help (with A. Brieden, R. Kannan, V. Klee, L. Lovász and M. Simonovits), 1998 IEEE Symp. Found. Computer Sci. (FOCS'98), 244-251.

Grundlagen der Mathematischen Optimierung, Springer, 2013, 525 + 18 pages.