Abstract
Barycentric interpolation is considered to be the most stable formula for a rational Hermite interpolation. The core problem is to choose the optimal weights. In this paper, the optimal weights of the bivariate barycentric rational Hermite interpolation are obtained based on the Lebesgue constant minimizing. Then the solution of the optimization model can be obtained by the software LINGO. Further, the numerical examples are given to show the effectiveness of the new method.
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Acknowledgments
This work was supported by CNSF (Grant number: 60973050, 30570431, 60873144); Science Foundation of Educational government of Anhui Province of China (KJ2009A50, KJ2007B173); Program for Excellent Talents in Anhui and Program for New Century Excellent Talents in University (NCET-06-0555).
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Zhao, Q., Qiao, J. (2013). Bivariate Barycentric Rational Hermite Interpolaiton Based on the Lebesgue Constant Minimizing. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_15
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DOI: https://doi.org/10.1007/978-3-642-37502-6_15
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