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Quadrature Formula Based on Interpolating Polynomials: Algorithmic and Computational Aspects

机译:基于插值多项式的正交公式:算法和计算方面

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The aim of this article is to obtain a quadrature formula for functions in several variables and to analyze the algorithmic and computational aspects of this formula. The known information about the integrand is {λ_i(f)}_i~n=1, where λ_i, are linearly independent linear functionals. We find a form of the coefficients of the quadrature formula which can be easy used in numerical calculations. The main algorithm we use in order to obtain the coefficients and the remainder of the quadrature formula is based on the Gauss elimination by segments method. We obtain an expression for the exactness degree of the quadrature formula. Finally, we analyze some computational aspects of the algorithm in the particular case of the Lagrange conditions.
机译:本文的目的是获得几个变量中函数的正交公式,并分析该公式的算法和计算方面。关于被积数的已知信息为{λ_i(f)} _ i〜n = 1,其中λ_i是线性独立的线性泛函。我们发现正交公式的系数形式很容易在数值计算中使用。为了获得系数,我们使用了主要算法,而正交公式的其余部分则基于分段高斯消除法。我们获得了正交公式的精确度的表达式。最后,我们分析了在拉格朗日条件的特殊情况下算法的一些计算方面。

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