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Data smoothing by divided differences

Part of the Lecture Notes in Mathematics book series (LNM,volume 912)

Keywords

  • Optimal Vector
  • Quadratic Programming Problem
  • Divided Difference
  • Require Approximation
  • Minimization Calculation

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References

  • Hildebrand, F.B. (1956), Introduction to numerical analysis, McGraw-Hill (New York).

    MATH  Google Scholar 

  • Kruskal, J.B. (1964), “Nonmetric multidimensional scaling: a numerical method”, Psychometrika, Vol. 29, pp. 115–129.

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  • Powell, M.J.D. (1981), Approximation theory and methods, Cambridge University Press (Cambridge).

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  • Ubhaya, V.A. (1977), “An O(n) algorithm for discrete n-point convex approximation with applications to continuous case”, Technical Memorandum No. 434 (Operations Research Dept., Case Western Reserve University).

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© 1982 Springer-Verlag

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Cullinan, M.P., Powell, M.J.D. (1982). Data smoothing by divided differences. In: Watson, G.A. (eds) Numerical Analysis. Lecture Notes in Mathematics, vol 912. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0093146

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  • DOI: https://doi.org/10.1007/BFb0093146

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11199-3

  • Online ISBN: 978-3-540-39009-1

  • eBook Packages: Springer Book Archive