An adaptive algorithm for determining the optimal degree of regression in constrained mock-Chebyshev least squares quadrature
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Publication:6556657
DOI10.14658/PUPJ-DRNA-2022-4-4zbMATH Open1540.6509MaRDI QIDQ6556657
Elisa Francomano, Federico Nudo, F. Di Tommaso, F. Dell'Accio
Publication date: 17 June 2024
Published in: Dolomites Research Notes on Approximation (Search for Journal in Brave)
Numerical interpolation (65D05) Approximate quadratures (41A55) Numerical quadrature and cubature formulas (65D32)
Cites Work
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- Stable high-order quadrature rules with equidistant points
- Multivariate approximation at fake nodes
- Fast and Accurate Computation of Gauss--Legendre and Gauss--Jacobi Quadrature Nodes and Weights
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- Construction of Gauss-Christoffel Quadrature Formulas
- Quadrature at \textit{fake nodes}
Related Items (3)
Numerical approximation of Fredholm integral equation by the constrained mock-Chebyshev least squares operator ⋮ An extension of a mixed interpolation-regression method using zeros of orthogonal polynomials ⋮ A mixed interpolation-regression approximation operator on the triangle
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