Error bound for product quadrature rules in \(L_ 1\)-weighted norm

DOI10.1007/BF02575720zbMath0837.41020OpenAlexW2090013049MaRDI QIDQ1901529

Yanyan Li

Publication date: 16 November 1995

Published in: Calcolo (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02575720

zbMATH Keywords

interpolationerror estimationquadrature

Mathematics Subject Classification ID

Numerical interpolation (65D05) Approximate quadratures (41A55)

Related Items (1)

Quadrature rules for \(L^1\)-weighted norms of orthogonal polynomials

Cites Work

• Unnamed Item
• Unnamed Item
• Associated generalized Jacobi functions and polynomials
• On a problem proposed by H.Braß concerning the remainder term in quadrature for convex functions
• A bound for generalized Jacobi functions of the second kind
• Lagrange interpolation on generalized Jacobi zeros with additional nodes
• A class of orthogonal polynomials
• Error Bounds for Gaussian Quadrature and Weighted-$L^1$ Polynomial Approximation
• Mean Convergence of Lagrange Interpolation. III
• Product-Integration Rules Based on the Zeros of Jacobi Polynomials
• Error Bounds for Gaussian and Related Quadrature and Applications toR-Convex Functions

This page was built for publication: Error bound for product quadrature rules in \(L_ 1\)-weighted norm