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Askey-Wilson polynomials, kernel polynomials and association schemes
Graphs and Combinatorics, 1993For many of the classical association schemes, there are specific sets of orthogonal polynomials associated with them. When these can be found explicitly, the polynomials can be given as hypergeometric or basic hypergeometric series. A new association scheme was constructed by \textit{A. A. Ivanov}, \textit{M. E. Muzichuk} and \textit{V. A. Ustimenko} [
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Nonnegative Linearization and Quadratic Transformation of Askey-Wilson Polynomials
Canadian Mathematical Bulletin, 1996AbstractNonnegative product linearization of the Askey-Wilson polynomials is shown for a wide range of parameters. As a corollary we obtain Rahman's result on the continuous q-Jacobi polynomials with α ≥ β > — 1 and α + β + 1 ≥ 0.
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Askey-Wilson polynomials and the quantum group \(SU_ q(2)\)
1990The Askey-Wilson polynomials are a 4-parameter family of \(q\)-orthogonal polynomials expressed by the basic hypergeometric series \({}_ 4\phi_ 3\). This article makes the observation that a (partially discrete) 4- parameter family of Askey-Wilson polynomials is realised as ``doubly associated spherical functions'' on the quantum group \(SU_ q(2 ...
Noumi, Masatoshi, Mimachi, Katsuhisa
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Associated Askey-Wilson polynomials as Laguerre-Hahn orthogonal polynomials
1988One looks for [formal] orthogonal polynomials satisfying interesting differential or difference relations and equations (Laguerre-Hahn theory). The divided difference operator used here is essentially the Askey-Wilson operator $$Df\left( x \right) = \frac{{E_2 f\left( x \right) - E_1 f\left( x \right)}}{{E_2 x - E_1 x}} = \frac{{f\left( {y_2 \left(
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Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs
Journal of Business and Economic Statistics, 2019Andrew Gelman, Guido Imbens
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Global Optimization with Polynomials and the Problem of Moments
SIAM Journal on Optimization, 2001Jean Bernard Lasserre
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On the role of polynomials in RBF-FD approximations: I. Interpolation and accuracy
Journal of Computational Physics, 2016Natasha Flyer +2 more
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