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Barycentric Lagrange Blending Rational Interpolation Based on Padé Approximation

机译:基于Padé逼近的重心Lagrange混合有理插值

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The advantages of bar centric interpolation formulations in computation are small number of floating points operations and good numerical stability. Adding a new data pair, the bar centric interpolation formula don''t require renew computation of all basis functions. A new kind of blending rational inter polants was constructed by combination of barycentric Lagrange interpolation and Padé approximation. For a given formal power series at every interpolation node, a Padé approximant was made and then they were blended by means of Lagrange''s polynomial interpolations to form a new blending rational interpolation-bar centric Lagrange blending rational interpolation based on Padé approximation. Different blending rational inter polants including bar centric Lagrange polynomial interpolation as their special case can be obtained by the new blending rational interpolation method with selecting Padé approximant at each interpolation node. In order to obtain more accurate interpolation, bary centric Lagrange''s interpolation based on Padé-type approximation and perturbed Padé approximation were studied. Numerical examples are given to show the validity of the new method.
机译:条形中心插值公式在计算中的优点是浮点运算次数少和数值稳定性好。添加新数据对后,钢筋中心插值公式不需要重新计算所有基函数。重心拉格朗日插值和Padé逼近相结合构造了一种新型的有理插值混合插值算法。对于每个插值节点处的给定正式幂级数,先制作一个Padé近似值,然后通过Lagrange的多项式插值对它们进行混合,以形成基于Padé逼近的新混合有理插值-中心拉格朗日混合有理插值。可以通过在每个插值节点处选择Padé近似值的新混合有理插值方法,获得以棒为中心的拉格朗日多项式插值作为其特例的不同混合有理插值。为了获得更精确的插值,研究了基于Padé型逼近和扰动Padé逼近的重心拉格朗日插值。数值算例表明了该方法的有效性。

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