@INCOLLECTION{BeBuHaPrRuSpSt00,
  author = {Becker, J. and B{\"{u}}rkle, D. and Happe, R.-T. and Preu{\ss}er,
	T. and Rumpf, M. and Spielberg, M. and Strzodka, R.},
  title = {Asspects on Data Analysis and Visualization for Complex Dynamical
	Systems},
  booktitle = {Ergodic Theory, Analysis, and Efficient Simulation of Dynamical Systems},
  publisher = {Springer},
  year = {2000},
  editor = {Fiedler, Bernold},
  chapter = {Aspects on Data Analysis and Visualization for Complex Dynamical
	Systems},
  abstract = {Flow visualization is an indispensible tool for the understandig of
	complex flow phenomena in computational fluid dynamics and the analysis
	of dynamical systems. In this note we will present several ways for
	an effective post processing of fluid flows and flows on invariant
	manifolds of dynamical systems. Feature extraction techniques will
	be present which reduce the informational content of large timedependent
	data sets to its mainly intersesting essence. Futhermore, we present
	visualization approaches which are based on partial differential
	equations. Similar to the modelling of physical phenomena by partial
	differential equations, in the postprocessing of data such equations
	naturally arise as well. Finally, the method for the dense covering
	of an invariant manifold with streamlines is outlined, which enables
	us to represent the geometry of the objects, statistical information
	on it, and the local flow properties at the same time.}
}