Error estimates of Lagrange interpolation and orthonormal expansions for Freud weights
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Publication:5946616
DOI10.1016/S0377-0427(00)00666-XzbMath0984.41003OpenAlexW2040238680MaRDI QIDQ5946616
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Publication date: 21 April 2002
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0377-0427(00)00666-x
Cites Work
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- Where does the sup norm of a weighted polynomial live? (A generalization of incomplete polynomials)
- Weights on the real line that admit good relative polynomial approximation, with applications
- Mean convergence of Lagrange interpolation. II
- \(L_ p\) Markov-Bernstein inequalities for Freud weights
- Necessary and sufficient conditions for mean convergence of orthogonal expansions for Freud weights
- On direct and converse theorems in the theory of weighted polynomial approximation
- Extremal Problems for Polynomials with Exponential Weights
- Necessary and Sufficient Conditions for Mean Convergence of Lagrange Interpolation for Freud Weights
- Mean Convergence of Expansions in Laguerre and Hermite Series
- Mean Convergence of Hermite and Laguerre Series. I
- Some weighted polynomial inequalities
- Jackson and smoothness theorems for Freud weights in \(L_ p (0<p\leq\infty)\)
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