• DocumentCode
    877684
  • Title

    An urnful of blending functions

  • Author

    Goldman, Ronald N.

  • Author_Institution
    Control Data Corporation
  • Volume
    3
  • Issue
    7
  • fYear
    1983
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    The author explores the link between probability and geometry. In the process, he shows how to exploit simple probabilistic arguments to derive many of the classical geometric properties of the parametric curves and surfaces currently in vogue in computer-aided geometric design. He also uses this probabilistic approach to introduce many new types of curves and surfaces into computer-aided geometric design, and demonstrates how probability theory can be used to simplify, unify, and generalize many well-known results. He concludes that urn models are a powerful tool for generating discrete probability distributions, and built into these special distributions are many propitious properties essential to the blending functions of computer-aided geometric design. This fact allows mathematicians to use probabilistic arguments to simplify, unify, and generalize many geometric results. He believes that this link between probability and geometry will ultimately prove beneficial to both disciplines, and expects that it will continue to be a productive area for future inspiration and research.
  • Keywords
    Distributed computing; Fluid flow; Information geometry; Probability distribution; Shape control; Solid modeling; Spline; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.1983.263276
  • Filename
    4037650