Multivariate polynomials, duality, and structured matrices
Journal of Complexity
Polynomials and Linear Control Systems
Polynomials and Linear Control Systems
Applied Numerical Mathematics
Theoretical Computer Science - Algebraic and numerical algorithm
The numerical condition of univariate and bivariate degree elevated Bernstein polynomials
Journal of Computational and Applied Mathematics
Structured total least norm and approximate GCDs of inexact polynomials
Journal of Computational and Applied Mathematics
The Cayley method in computer aided geometric design
Computer Aided Geometric Design
Bernstein Bezoutians and application to intersection problems
Computer Aided Geometric Design
The Bernstein polynomial basis: A centennial retrospective
Computer Aided Geometric Design
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Resultant matrices can be used to compute the intersection points of curves that are defined by polynomials. They were originally developed for polynomials expressed in the power (monomial) basis, but the recent development of resultant matrices for Bernstein basis polynomials has increased their use in computer aided geometric design, for which the Bernstein basis is the standard polynomial basis. In this paper, the equations that relate the Sylvester, Bezout and companion resultant matrices for Bernstein basis polynomials are derived, thereby establishing their equivalence. It is shown that these equations are more complicated than their power basis equivalents.