A Practical Guide To Spline
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See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/200744645 A Practical Guide to Spline Book in Mathematics of Computation · January 1978 DOI: 10.2307/2006241 CITATIONS READS 4,662 21,217 1 author: Carl R de Boor University of Wisconsin–Madison 237 PUBLICATIONS 15,542 CITATIONS SEE PROFILE All content following this page was uploaded by Carl R de Boor on 11 August 2017. The user has requested enhancement of the downloaded file. Carl de Boor A Practical Guide to Splines Revised Edition With 32 figures Springer Contents Preface Notation xv I • Polynomial Interpolation Polynomial interpolation: Lagrange form Polynomial Interpolation: Divided differences and Newton form Divided difference table Example: Osculatory interpolation to the logarithm Evaluation of the Newton form 2 3 8 9 9 Example: Computing the derivatives of a polynomial in Newton form 11 Other polynomial forms and conditions 12 Problems 15 II • Limitations of Polynomial Approximation Uniform spacing of data can have bad consequences Chebyshev sites are good Runge example with Chebyshev sites Squareroot example Interpolation at Chebyshev sites is nearly optimal 17 20 22 22 24 The distance from polynomials Problems 24 27 IX x Contents III • Piecewise Linear Approximation Broken line interpolation Broken line interpolation is nearly optimal Least-squares approximation by broken lines Good meshes Problems 31 32 32 35 37 IV • Piecewise Cubic Interpolation Piecewise cubic Hermite interpolation Runge example continued Piecewise cubic Bessel interpolation Akima's interpolation Cubic spline interpolation 40 41 42 42 43 Boundary conditions Problems 43 48 V • Best Approximation Properties of Complete Cubic Spline Interpolation and Its Error Problems 51 56 VI • Parabolic Spline Interpolation Problems 59 64 VII • A Representation for Piecewise Polynomial Functions Piecewise polynomial functions The subroutine PPVALU The subroutine INTERV Problems 69 72 74 77 VIII • The Spaces H
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