Date of Completion
2-3-2014
Embargo Period
2-3-2014
Keywords
Computational Topology, Numerical Analysis, Scientific Visualization
Major Advisor
Professor Thomas J. Peters
Associate Advisor
Professor Alexander Russell
Associate Advisor
Professor Robert McCartney
Field of Study
Computer Science and Engineering
Degree
Doctor of Philosophy
Open Access
Open Access
Abstract
In Computer Aided Geometric Design (CAGD) B-splines are frequently used to model complex geometric objects. The spline models are smooth structures but piecewise linear (PL) approximations are typically used to render the spline. Aeronautical, automotive and chemical simulations rely on topological algorithms to provide mathematically correct visualization. Topological changes are of significant interest to domain scientists, where self-intersection is a critical event that is often difficult to detect. This research focuses on algorithms that guarantee topology, in terms of ambient isotopic equivalence, between a spline curve and its PL approximations, as used in both static and dynamic visualization. Sufficient conditions for ambient isotopic equivalence for subdivision algorithms and for dynamic perturbations are given. Numerical bounds to ensure ambient isotopic equivalence in the presence of errors from floating point computation are rigorously proved.
Recommended Citation
Cassidy, Hugh, "Numerical Analysis and Computational Topology for Scientific Visualization" (2014). Doctoral Dissertations. 314.
https://digitalcommons.lib.uconn.edu/dissertations/314