Paper Title:
Positive Approximation for Positive Scattered Data
  Abstract

The curve and surface fitting problem is very important in CAD and CAGD. However, it is important to construct a suitable function to interpolate or approximate which satisfies the underlying constraints since we have some additional information that is confined to interpolation or approximation. In this paper, we discuss the positive approximation for positive scattered data of any dimensionality by using radial basis functions. The approach is presented to compute positive approximation by solving a quadratic optimization problem. Numerical experiments are provided to illustrate the proposed algorithm is flexible.

  Info
Periodical
Edited by
Shaobo Zhong, Yimin Cheng and Xilong Qu
Pages
683-687
DOI
10.4028/www.scientific.net/AMM.50-51.683
Citation
X. L. Zhang, J. M. Wu, "Positive Approximation for Positive Scattered Data", Applied Mechanics and Materials, Vols. 50-51, pp. 683-687, 2011
Online since
February 2011
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