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Cited by 4 publications
(14 citation statements)
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“…Rather than exploit the computational efficiency of methods such as quadrature integral approximations on the unit circle [50][51][52], the integrals are computed as Riemann sums. Therefore, it is necessary to determine an appropriate number of elements that provides an adequate numerical approximation, while remaining computationally feasible.…”
Section: Numerical Verification and Discussionmentioning
confidence: 99%
“…Rather than exploit the computational efficiency of methods such as quadrature integral approximations on the unit circle [50][51][52], the integrals are computed as Riemann sums. Therefore, it is necessary to determine an appropriate number of elements that provides an adequate numerical approximation, while remaining computationally feasible.…”
Section: Numerical Verification and Discussionmentioning
confidence: 99%
“…I n (f ) of the form ( 26) to be exact in subspaces L n−1+k , 0 ≤ k ≤ n of the form (27) and not in L n+k . It was proved in [38] for k = n − 1 and in the context of Laurent polynomials in [19,Theorem 2.6] for any k. For completeness we include a proof using the notation and the definitions introduced in Section 2 inspired by the results obtained in [38] for k = n − 1. The result can be stated as follows:…”
Section: Szegő-type Quadraturementioning
confidence: 94%
“…Hence, from the unicity of the solution, p = S q, and so, P = Q * . For the second part, observe that (19) follows directly from (20) by block Gaussian elimination.…”
Section: mentioning
confidence: 99%
See 1 more Smart Citation
“…and that no n-point interpolatory quadrature formula with nodes on T and positive weights can be exact in a larger (2n − 1)-dimensional space of the form L α n · L α (n−1) * or L α n * · L α n−1 . They are however exact in a subspace of dimension 2n − 1 of a different form as shown in [39] and [17] for Laurent polynomials and in [11] for the rational case.…”
Section: Quadraturementioning
confidence: 99%