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Interpolation of Scattered Data: Distance Matrices and Conditionally Positive Definite Functions

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Approximation Theory and Spline Functions

Part of the book series: NATO ASI Series ((ASIC,volume 136))

Abstract

For practical problems of data fitting in two dimensions two methods seem to be most popular: Thin Plate Splines (TPS) Duchon (1976) and Hardy’s Multiquadric Surfaces (MQS) Hardy (1971), (1982), see also Franke (1982). The theory for TPS has been developed in a series of papers (see Duchon (1976), Meinguet (1979)). However, beyond its numerical performance little seems to be known about MQS. For instance, in his lecture notes for a recent meeting, Franke (1983) raised (based on extensive numerical experience) the followine conjecture.

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References

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© 1984 D. Reidel Publishing Company

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Micchelli, C.A. (1984). Interpolation of Scattered Data: Distance Matrices and Conditionally Positive Definite Functions. In: Singh, S.P., Burry, J.W.H., Watson, B. (eds) Approximation Theory and Spline Functions. NATO ASI Series, vol 136. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6466-2_7

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  • DOI: https://doi.org/10.1007/978-94-009-6466-2_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-6468-6

  • Online ISBN: 978-94-009-6466-2

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