Abstract
In this text we present an approach for Hermite interpolation with rational splines without predefined weight factors. We rearrange the equation of the derivative of the rational spline function into a homogeneous linear system of equations in homogeneous space. We use this linear system to formulate different interpolation problems, with the weight factors as well as the control points as a solution. In the first approach, we solve the linear system directly by adding only one inhomogeneous equation to normalise the weights. This approach has some significant constraints. The second approach uses the linear system as a secondary condition for maximizing the minimum weight. This way allows us to obtain method more open regarding the number of interpolation points. In the third approach, we reduce the number of interpolation points to approximate the values of the function between the interpolation points.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
de Boor, C.: A Practical Guide to Splines. Springer, New York (2001)
Farin, G.: Curves and Surfaces for CAGD. Academic Press, San Diego (2002)
Piegl, L., Tiller, W.: The NURBS Book. Springer, Berlin (1997)
Schneider, F.-J.: Interpolation, Approximation und Konvertierung mit rationalen B-Splines. Dissertation TH Darmstadt (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hamm, C., Sauer, T., Zimmermann, F. (2014). Hermite Interpolation with Rational Splines with Free Weights. In: Floater, M., Lyche, T., Mazure, ML., Mørken, K., Schumaker, L.L. (eds) Mathematical Methods for Curves and Surfaces. MMCS 2012. Lecture Notes in Computer Science, vol 8177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54382-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-54382-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54381-4
Online ISBN: 978-3-642-54382-1
eBook Packages: Computer ScienceComputer Science (R0)