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Mar 21, 2021 · Gerhard Dangelmayr's Homepage. Professor of Mathematics. EMAIL: gerhard.dangelmayr@colostate.edu. Research Areas: Dynamical Systems. Instabilities and Pattern Formation. Pattern Analysis and Neural Networks. Methods of Mathematical Physics. Publications. Introduction to Mathematical Modeling. Chapter Notes. to the Textbook:
Jan 9, 2023 · Gerhard Dangelmayr Professor Emeritus of Mathematics. EMAIL: gerhard@math.colostate.edu
Gerhard Dangelmayr's 48 research works with 654 citations and 578 reads, including: A period doubling route to spatiotemporal chaos in a system of Ginzburg-Landau equations for nematic ...
Gerhard Dangelmayr and Iuliana Oprea. In–Out Intermittency with Nested Subspaces in a System of Globally Coupled, Complex Ginzburg–Landau Equations. International Journal of Bifurcation and Chaos, 31(1), 2130001-1-21 (2021) . Online: https://doi.org/10.1142/S0218127421300019; Iuliana Oprea and Gerhard Dangelmayr.
College of Natural Sciences Contact Details. Map 117 Statistics Building 1801 Campus Delivery Fort Collins, Colorado 80523-1801; Hours Hours: Mon - Thu: 7:45a - 4:45p
Jun 8, 2011 · The College of Natural Sciences at Colorado State University has promoted longtime math professor and chair Simon Tavener to associate dean of Academics. Tavener will be replaced by Gerhard H. Dangelmayr, also a longtime professor in the Department of Mathematics. Dangelmayr assumed his new responsibilities June 1, and Tavener will begin his ...
Gerhard Dangelmayr, Iuliana Oprea: In-Out Intermittency with Nested Subspaces in a System of Globally Coupled, Complex Ginzburg-Landau Equations. Int. J. Bifurc. Chaos 31 (1): 2130001:1-2130001:21 (2021)
A period doubling route to spatiotemporal chaos in a system of Ginzburg-Landau equations for nematic electroconvection. Iuliana Oprea , and. Gerhard Dangelmayr. Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874, USA. * Corresponding author: Iuliana Oprea.
Abstract. In this paper we show that coupled 1-D and 2-D lo-gistic map lattices can be controlled to di erent types of behaviour through a recently introduced control algorithm (S. Gadaleta and G. Dangelmayr, Chaos 9, 775-788 (1999)) which is based on reinforcement learning.