2007Unpublished venueRequires access

Rational Approximation of Offset Surfaces by Using Bivariate S-power Basis

Li Zhang, Jieqing Tan, Liu Zhi

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Abstract

The algorithm about rational approximation of offset surfaces is given in this paper. Bivariate symmetric power basis is used here to approximate the radical expression of the given offset surface. There are two steps, first, we express the unit normal vector of offset surface by bivariate symmetric power basis; then, we present bivariate polynomial approximating expression of the radical expression. The algorithm is simple and effective. Numerical examples show that good approximate effects can be achieved along with the raise of the degree of bivariate symmetric power basis.

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What this paper is about

The algorithm about rational approximation of offset surfaces is given in this paper. Bivariate symmetric power basis is used here to approximate the radical expression of the given offset surface. There are two steps, first, we express the unit normal vector of offset surface by bivariate symmetric power basis; then, we present bivariate polynomial approximating expression of the radical expression. The algorithm is simple and effective. Numerical examples show that good approximate effects can be achieved along with the raise of the degree of bivariate symmetric power basis.

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Available abstract

The algorithm about rational approximation of offset surfaces is given in this paper. Bivariate symmetric power basis is used here to approximate the radical expression of the given offset surface. There are two steps, first, we express the unit normal vector of offset surface by bivariate symmetric power basis; then, we present bivariate polynomial approximating expression of the radical expression. The algorithm is simple and effective. Numerical examples show that good approximate effects can be achieved along with the raise of the degree of bivariate symmetric power basis.

Key concepts: Bivariate analysis, Offset (computer science), Mathematics, Basis (linear algebra), Polynomial, Expression (computer science), Applied mathematics, Mathematical analysis

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