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Oscillating Polynomials of Least L1-Norm

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Numerical Integration

Abstract

A classical way to construct a quadrature formula is to approximate the integral \(\int\limits_a^b {f\left( t \right)} \)dt by \(\int\limits_a^b {H\left( {,f;t} \right)dt} \) where H(x, f; t) is the Hermite interpolation polynomial for the function f based on a given system of nodes x = {(x1, v1),..., (xn, vn)} (i.e. x1,...,xn of multiplicities v1,...,vn, respectively). The error E(x; f) of this quadrature rule is expressed by the divided difference f[x,x] of f at the points x and x. We have

$$E\left( {;f} \right) = \int\limits_a^b {f\left[ {,x} \right]{{\left( {x - {x_1}} \right)}^{{v_1}}}...{{\left( {x - {x_n}} \right)}^{{v_n}}}dx} $$

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References

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© 1982 Springer Basel AG

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Bojanov, B. (1982). Oscillating Polynomials of Least L1-Norm. In: Hämmerlin, G. (eds) Numerical Integration. ISNM 57: International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série internationale d’Analyse numérique, vol 57. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-6308-7_2

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  • DOI: https://doi.org/10.1007/978-3-0348-6308-7_2

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-6309-4

  • Online ISBN: 978-3-0348-6308-7

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