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2d Polynomial Interpolation: A Symbolic Approach with Mathematica

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Book cover Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3482))

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Abstract

This paper extends a previous work done by the same authors on teaching 1d polynomial interpolation using Mathematica [1] to higher dimensions. In this work, it is intended to simplify the the theoretical discussions in presenting multidimensional interpolation in a classroom environment by employing Mathematica’s symbolic properties. In addition to symbolic derivations, some numerical tests are provided to show the interesting properties of the higher dimensional interpolation problem. Runge’s phenomenon was displayed for 2d polynomial interpolation.

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References

  1. Yazici, A., Altas, I., Ergenc, T.: Symbolic Interpolation using Mathematica. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3039, pp. 365–370. Springer, Heidelberg (2004)

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  2. Reiter, C.A.: Exploring Hermite Interpolation with Mathematica. Primus 2(2), 173–182 (1992)

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  3. Kaput, J.: Technology and Mathematics Education. In: Grouws, D.A. (ed.) Handbooks of Research on Mathematics Teaching and Learning, pp. 515–556. MacMillan, New York (1992)

    Google Scholar 

  4. De Boor, C.: A Practical Guide to Splines. Springer, Heidelberg (1978)

    MATH  Google Scholar 

  5. Mathews, J.H.: Numerical Methods For Computer Science, and Mathematics. Prentice-Hall International, Englewood Cliffs (1987)

    Google Scholar 

  6. Heath, M.T.: Scientific Computing: An Introductory Survey. McGraw-Hill International Editions, New York (1997)

    Google Scholar 

  7. Linz, P.: Theoretical Numerical Analysis: An Introduction to Advanced Techniques. John-Wiley & Sons, Ltd., West Sussex (1979)

    Google Scholar 

  8. Altas, I., Stephenson, J.W.: Existence of Second Order Discretizations on Irregular Mesh. Appl. Math Lett. 2(4), 315–318 (1989)

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© 2005 Springer-Verlag Berlin Heidelberg

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Yazici, A., Altas, I., Ergenc, T. (2005). 2d Polynomial Interpolation: A Symbolic Approach with Mathematica. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424857_49

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  • DOI: https://doi.org/10.1007/11424857_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25862-9

  • Online ISBN: 978-3-540-32045-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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