Distribution of Points in Convergent Sequences of Interpolatory Integration Rules: The Rates

1993 ◽  
pp. 25-37
Author(s):  
Tom Bloom ◽  
Doron S. Lubinsky ◽  
Herbert B. Stahl
1993 ◽  
Vol 9 (1) ◽  
pp. 59-82 ◽  
Author(s):  
T. Bloom ◽  
D. S. Lubinsky ◽  
H. Stahl

1993 ◽  
Vol 9 (1) ◽  
pp. 41-58 ◽  
Author(s):  
T. Bloom ◽  
D. S. Lubinsky ◽  
H. Stahl

2007 ◽  
Vol 7 (3) ◽  
pp. 239-254 ◽  
Author(s):  
I.H. Sloan

Abstract Finite-order weights have been introduced in recent years to describe the often occurring situation that multivariate integrands can be approximated by a sum of functions each depending only on a small subset of the variables. The aim of this paper is to demonstrate the danger of relying on this structure when designing lattice integration rules, if the true integrand has components lying outside the assumed finiteorder function space. It does this by proving, for weights of order two, the existence of 3-dimensional lattice integration rules for which the worst case error is of order O(N¯½), where N is the number of points, yet for which there exists a smooth 3- dimensional integrand for which the integration rule does not converge.


Filomat ◽  
2017 ◽  
Vol 31 (6) ◽  
pp. 1827-1834 ◽  
Author(s):  
S.A. Mohiuddine ◽  
B. Hazarika

2018 ◽  
Vol 14 (05) ◽  
pp. 1375-1401 ◽  
Author(s):  
Patrick Meisner

We determine in this paper the distribution of the number of points on the covers of [Formula: see text] such that [Formula: see text] is a Galois extension and [Formula: see text] is abelian when [Formula: see text] is fixed and the genus, [Formula: see text], tends to infinity. This generalizes the work of Kurlberg and Rudnick and Bucur, David, Feigon and Lalin who considered different families of curves over [Formula: see text]. In all cases, the distribution is given by a sum of [Formula: see text] random variables.


1971 ◽  
Vol 8 (3) ◽  
pp. 497-508 ◽  
Author(s):  
Nira Richter-Dyn
Keyword(s):  

2021 ◽  
Vol 62 (4) ◽  
pp. 616-620
Author(s):  
R. E. Zvolinskii ◽  
E. M. Semenov
Keyword(s):  

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