2012Unpublished venueRequires access

Newton-Barycentric-Thiele Trivariate Blending Rational Interpolation on Rectangular Parallelepiped Grid

Yali Pan, Changwen Li

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Abstract

The advantages of barycentric interpolation for mulations in computation are small number of floating point operations and good numerical stability. Adding a new data pair, the barycentric interpolation formula don't require new computation all of basis functions. Thiele-type continued fractions interpolation and Newton interpolation may be the favoured nonlinear and linear interpolations, A new kind of Tri-variate blending rational interpolants was constructed by combining of barycentric interpolation, Thiele continued fractions and Newton interpolation. We discussed the interpolation theorem with no poles and error estimation.

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The advantages of barycentric interpolation for mulations in computation are small number of floating point operations and good numerical stability. Adding a new data pair, the barycentric interpolation formula don't require new computation all of basis functions. Thiele-type continued fractions interpolation and Newton interpolation may be the favoured nonlinear and linear interpolations, A new kind of Tri-variate blending rational interpolants was constructed by combining of barycentric interpolation, Thiele continued fractions and Newton interpolation. We discussed the interpolation theorem with no poles and error estimation.

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Available abstract

The advantages of barycentric interpolation for mulations in computation are small number of floating point operations and good numerical stability. Adding a new data pair, the barycentric interpolation formula don't require new computation all of basis functions. Thiele-type continued fractions interpolation and Newton interpolation may be the favoured nonlinear and linear interpolations, A new kind of Tri-variate blending rational interpolants was constructed by combining of barycentric interpolation, Thiele continued fractions and Newton interpolation. We discussed the interpolation theorem with no poles and error estimation.

Key concepts: Barycentric coordinate system, Interpolation (computer graphics), Trilinear interpolation, Mathematics, Bilinear interpolation, Stairstep interpolation, Linear interpolation, Nearest-neighbor interpolation

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