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Search Publications by: Fern Hunt (Assoc)

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Displaying 26 - 33 of 33

Attractors, Chain Transitive Sets and Invariant Measures

September 15, 2000
Author(s)
Fern Y. Hunt
This paper discusses an easy to implement procedure for approximating the long time behavior of iterates of maps. Applications include to finding the roots of a complex polynomial and approximating attractors. The method uses the theory of Markov chains.

Measurements and Predictions of Light Scattering by Coatings

May 1, 1999
Author(s)
Theodore V. Vorburger, Egon Marx, M E. McKnight, Maria Nadal, P Y. Barnes, Alan Keith Thompson, Michael Galler, Fern Y. Hunt, Mark R. VanLandingham
We show comparisons between calculations and measurements of angle-resolved light scattering distributions from clear dielectric, isotropic coatings. The calculated distributions are derived from topography measurements performed with scanning white light

Finite Precision Representation of the Conley Decomposition

December 1, 1998
Author(s)
Fern Y. Hunt
We present the theoretical basis for a novel way of studying and representing the long time behavior of finite dimensional maps. It is based on the sample paths of a Markov chain. Applications of the method to the approximation of attractors of maps and to

Conference Report: Workshop on Advanced Methods and Models for Appearance of Coatings and Coated Objects, Gaithersburg, MD, May 20, 1996

July 1, 1997
Author(s)
M E. McKnight, J Martin, Michael Galler, Fern Y. Hunt, R Lipman, Theodore V. Vorburger, A Thompson
To help NIST researchers better understand industry''s needs, four NIST laboratories held a Workshop on Advanced Methods and Models for Appearance of Coatings and Coated Objects on May 20, 1996. The four NIST laboratories are Building and Fire Research

Probabilistic computation of Poiseuille flow velocity fields

May 1, 1995
Author(s)
Fern Y. Hunt, J. F. Douglas, Javier Bernal
Velocity fields for Poiseuille flow through tubes having general cross section are calculated using a path integral method involving the first‐passage times of random walks in the interior of the cross sectional domain D of the pipe. This method is applied