A new spline approach for data fitting

作者: JR Nunhez , CBB Costa , R Guirardello , None

DOI: 10.1016/J.FLUID.2004.04.003

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摘要: Abstract This paper presents an extension of the Modified Spline Technique (MST) formulation for data fitting named power spline, which gives consistent results sets concave and convex curves. method is based on a technique couples implicit maximum likelihood principle to spline method, making suitable fit when no physical model available. The MST proved be better than extended (EST), because it provided accurate first second derivatives in where EST solution developed inaccuracies. that Least Squares method. There are, however, some would show inconsistent solutions derivatives. eliminates these problems or Another improvement more flexible choice interval boundaries. 1

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