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Boundary/Contour Fitted Grid Generation for Effective Visualizations in a Digital Library of Mathematical Functions

Published

Author(s)

Bonita V. Saunders, Qiming Wang

Abstract

Effective visualizations can help researchers obtain a more complete understanding of high level mathematical functions that arise in mathematics, statistics, physics, fluid dynamics and other fields of the mathematical and physical sciences. Accordingly, dynamic interactive 3D graphs of function surfaces will be a key feature of the National Institute of Standards and Technology Digital Library of Mathematical Functions, a new Web-based compendium of mathematical functions that will replace a popular but dated resource, the National Bureau of Standards Handbook of Mathematical Functions, published by Abramowitz and Stegun in 1964. As developers of commercial packages are well aware, creating software to accurately plot complicated 3D surfaces can be a challenging task. This paper looks at the effectiveness of modifying an algebraic tensor product spline grid generation technique, whose design was originally motivated by problems in aerodynamics and solidification theory, to create computational grids for accurate visualizations of 3D surfaces that capture key function features such as poles, branch cuts and other singularities.
Proceedings Title
Proceedings of the 9th International Conference on Numerical Grid Generation in Computational Field Simulations
Conference Dates
June 11-18, 2005
Conference Location
San Jose, CA, USA

Keywords

3D clipping, grid generation, scientific visualization, virtual reality modeling language

Citation

Saunders, B. and Wang, Q. (2007), Boundary/Contour Fitted Grid Generation for Effective Visualizations in a Digital Library of Mathematical Functions, Proceedings of the 9th International Conference on Numerical Grid Generation in Computational Field Simulations, San Jose, CA, USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150097 (Accessed June 22, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created February 28, 2007, Updated October 12, 2021