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  • 标题:Rational iterated function system for positive/monotonic shape preservation
  • 本地全文:下载
  • 作者:AKB Chand ; N Vijender ; RP Agarwal
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2014
  • 卷号:2014
  • 期号:1
  • 页码:30
  • DOI:10.1186/1687-1847-2014-30
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In this paper we consider the (inverse) problem of determining the iterated function system (IFS) which produces a shaped fractal interpolant. We develop a new type of rational IFS by using functions of the form E i F i , where E i are cubics and F i are preassigned quadratics having 3-shape parameters. The fixed point of the developed rational cubic IFS is in C 1 , but its derivative varies from a piecewise differentiable function to a continuous nowhere differentiable function. An upper bound of the uniform error between the fixed point of a rational IFS and an original function Φ ∈ C 4 is deduced for the convergence results. The automatic generations of the scaling factors and shape parameters in the rational IFS are formulated so that its fixed point preserves the positive/monotonic features of prescribed data. The presence of scaling factors provides additional freedom to the shape of the fractal interpolant over its classical counterpart in the modeling of discrete data.
  • 关键词:Shape Parameter ; Original Function ; Unique Fixed Point ; Iterate Function System ; Uniform Error
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