Geometric Applications of the Bezout Matrix in the Bivariate Tensor-Product Lagrange basis

نویسندگان

  • D. A. Aruliah
  • Robert M. Corless
  • Laureano Gonzalez-Vega
  • Azar Shakoori
چکیده

Using a new formulation of the Bézout matrix, we construct bivariate matrix polynomials expressed in a tensor-product Lagrange basis. We use these matrix polynomials to solve common tasks in computer-aided geometric design. For example, we show that these bivariate polynomials can serve as stable and efficient implicit representations of plane curves for a variety of curve intersection problems.

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تاریخ انتشار 2007