cubature formulae
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2020 ◽  
Vol 53 ◽  
pp. 426-438
Author(s):  
Ramón Orive ◽  
Juan C. Santos-León ◽  
Miodrag M. Spalević

CALCOLO ◽  
2018 ◽  
Vol 55 (1) ◽  
Author(s):  
Donatella Occorsio ◽  
Giada Serafini
Keyword(s):  

Filomat ◽  
2018 ◽  
Vol 32 (20) ◽  
pp. 6893-6902
Author(s):  
Davorka Jandrlic ◽  
Miodrag Spalevic ◽  
Jelena Tomanovic

We estimate the errors of selected cubature formulae constructed by the product of Gauss quadrature rules. The cases of multiple and (hyper-)surface integrals over n-dimensional cube, simplex, sphere and ball are considered. The error estimates are obtained as the absolute value of the difference between cubature formula constructed by the product of Gauss quadrature rules and cubature formula constructed by the product of corresponding Gauss-Kronrod or corresponding generalized averaged Gaussian quadrature rules. Generalized averaged Gaussian quadrature rule ?2l+1 is (2l + 1)-point quadrature formula. It has 2l + 1 nodes and the nodes of the corresponding Gauss rule Gl with l nodes form a subset, similar to the situation for the (2l + 1)-point Gauss-Kronrod rule H2l+1 associated with Gl. The advantages of bG2l+1 are that it exists also when H2l+1 does not, and that the numerical construction of ?2l+1, based on recently proposed effective numerical procedure, is simpler than the construction of H2l+1.


2017 ◽  
Vol 39 (1) ◽  
pp. 297-314
Author(s):  
Brahim Benouahmane ◽  
Cuyt Annie ◽  
Irem Yaman
Keyword(s):  

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Claudia Fassino ◽  
Eva Riccomagno

Methods from Commutative Algebra and Numerical Analysis are combined to address a problem common to many disciplines: the estimation of the expected value of a polynomial of a random vector using a linear combination of a finite number of its values. In this work we remark on the error estimation in cubature formulæ for polynomial functions and introduce the notion of a precision space for a cubature rule. 


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