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Part of the book series: Progress in Computer Science and Applied Logic ((PCS,volume 18))

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Abstract

Let p1,…, p n R3. A flexible springy wire of length h pinned at the end points p1 and p n , and passing through the points p2, … , pn−1 with or without specified directions is physically determined to have one of several stable shapes, each corresponding to a locally minimal energy value. We may seek these minimal energy shapes; such a curve will be called a physical spline curve. Although a cubic spline may be a good approximation to a physical spline, this is often not the case, and moreover the length constraint applied to a cubic spline segment is difficult to honor. It is important in various engineering applications to be able to compute the exact physical spline curve of a given length that satisfies given boundary conditions.

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© 2000 Springer Science+Business Media New York

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Knott, G.D. (2000). Physical Splines. In: Interpolating Cubic Splines. Progress in Computer Science and Applied Logic, vol 18. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1320-8_18

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  • DOI: https://doi.org/10.1007/978-1-4612-1320-8_18

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7092-8

  • Online ISBN: 978-1-4612-1320-8

  • eBook Packages: Springer Book Archive

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