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1: Bibliography X
  • H. Xiao, V. Rokhlin, and N. Yarvin (2001) Prolate spheroidal wavefunctions, quadrature and interpolation. Inverse Problems 17 (4), pp. 805–838.
  • 2: 3.3 Interpolation
    §3.3 Interpolation
    §3.3(i) Lagrange Interpolation
    Linear Interpolation
    §3.3(v) Inverse Interpolation
    §3.3(vi) Other Interpolation Methods
    3: Annie A. M. Cuyt
    A lot of her research has been devoted to rational approximations, in one as well as in many variables, and sparse interpolation. …
    4: 18.40 Methods of Computation
    Interpolation of the midpoints of the jumps followed by differentiation with respect to x yields a Stieltjes–Perron inversion to obtain w RCP ( x ) to a precision of 4 decimal digits for N = 120 . … Here x ( t , N ) is an interpolation of the abscissas x i , N , i = 1 , 2 , , N , that is, x ( i , N ) = x i , N , allowing differentiation by i . In what follows this is accomplished in two ways: i) via the Lagrange interpolation of §3.3(i) ; and ii) by constructing a pointwise continued fraction, or PWCF, as follows: …The PWCF x ( t , N ) is a minimally oscillatory algebraic interpolation of the abscissas x i , N , i = 1 , 2 , , N . Comparisons of the precisions of Lagrange and PWCF interpolations to obtain the derivatives, are shown in Figure 18.40.2. …
    5: 3.4 Differentiation
    The B k n are the differentiated Lagrangian interpolation coefficients:
    3.4.2 B k n = d A k n / d t ,
    3.4.7 h f t = k = 1 2 B k 3 f k + h R 3 , t , 1 < t < 2 ,
    3.4.11 h f t = k = 2 3 B k 5 f k + h R 5 , t , 2 < t < 3 ,
    3.4.15 h f t = k = 3 4 B k 7 f k + h R 7 , t , 3 < t < 4 ,
    6: Philip J. Davis
    Davis also co-authored a second Chapter, “Numerical Interpolation, Differentiation, and Integration” with Ivan Polonsky. …
    7: 3.8 Nonlinear Equations
    Regula Falsi
    Inverse linear interpolation3.3(v)) is used to obtain the first approximation: …
    8: Bibliography N
  • National Bureau of Standards (1944) Tables of Lagrangian Interpolation Coefficients. Columbia University Press, New York.
  • 9: Bibliography P
  • M. J. D. Powell (1967) On the maximum errors of polynomial approximations defined by interpolation and by least squares criteria. Comput. J. 9 (4), pp. 404–407.
  • 10: Bibliography T
  • L. N. Trefethen (2011) Six myths of polynomial interpolation and quadrature. Math. Today (Southend-on-Sea) 47 (4), pp. 184–188.