numerator polynomials
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1: 18.30 Associated OP’s
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Numerator and Denominator Polynomials
►The are also referred to as the numerator polynomials, the then being the denominator polynomials, in that the -th approximant of the continued fraction, , … ►Markov’s Theorem
►The ratio , as defined here, thus provides the same statement of Markov’s Theorem, as in (18.2.9_5), but now in terms of differently obtained numerator and denominator polynomials. …2: Bibliography I
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More on electrostatic models for zeros of orthogonal polynomials.
Numer. Funct. Anal. Optim. 21 (1-2), pp. 191–204.
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3: 18.2 General Orthogonal Polynomials
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►Because of (18.2.36) the OP’s are also called monic denominator
polynomials and the OP’s , or, equivalently, the , are called the monic numerator polynomials.
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4: Bibliography G
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A new application of the discrete Laguerre polynomials in the numerical evaluation of the Hankel transform of a strongly decreasing even function.
J. Comput. Phys. 42 (2), pp. 277–287.
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Questions of Numerical Condition Related to Polynomials.
In Studies in Numerical Analysis, G. H. Golub (Ed.),
pp. 140–177.
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On mean convergence of extended Lagrange interpolation.
J. Comput. Appl. Math. 43 (1-2), pp. 19–35.
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Orthogonal Polynomials: Computation and Approximation.
Numerical Mathematics and Scientific Computation, Oxford University Press, New York.
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Variable-precision recurrence coefficients for nonstandard orthogonal polynomials.
Numer. Algorithms 52 (3), pp. 409–418.
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5: 18.38 Mathematical Applications
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§18.38(i) Classical OP’s: Numerical Analysis
… ►Differential Equations: Spectral Methods
… ►Quadrature “Extended” to Pseudo-Spectral (DVR) Representations of Operators in One and Many Dimensions
…6: Bibliography F
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Chebyshev Polynomials in Numerical Analysis.
Oxford University Press, London.
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7: 29.21 Tables
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Arscott and Khabaza (1962) tabulates the coefficients of the polynomials in Table 29.12.1 (normalized so that the numerically largest coefficient is unity, i.e. monic polynomials), and the corresponding eigenvalues for , . Equations from §29.6 can be used to transform to the normalization adopted in this chapter. Precision is 6S.
8: Bibliography S
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Orthogonal polynomials arising in the numerical evaluation of inverse Laplace transforms.
Math. Tables Aids Comput. 9 (52), pp. 164–177.
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Evaluation of associated Legendre functions off the cut and parabolic cylinder functions.
Electron. Trans. Numer. Anal. 9, pp. 137–146.
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9: Bibliography C
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Stability properties of disk polynomials.
Numer. Algorithms.
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10: Bibliography L
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Asymptotics and numerics of polynomials used in Tricomi and Buchholz expansions of Kummer functions.
Numer. Math. 116 (2), pp. 269–289.
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