μ-bases for polynomial systems in one variable

  • Authors:
  • Ning Song;Ron Goldman

  • Affiliations:
  • Rice University, Computer Science, Houston, TX, United States;Rice University, Computer Science, Houston, TX, United States

  • Venue:
  • Computer Aided Geometric Design
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The notion of a @m-basis for an arbitrary number of polynomials in one variable is defined. The basic properties of these @m-bases are derived, and an algorithm is presented based on Gaussian Elimination to calculate a @m-basis for any collection of univariate polynomials. These @m-bases are then applied to solve implicitization, inversion and intersection problems for rational space curves. Systems where base points are present are also discussed.