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Titlebook: Orthogonal Polynomials; Theory and Practice Paul Nevai Book 1990 Kluwer Academic Publishers 1990 Approximation.Jacobi.boundary element meth

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樓主: 強烈興趣
61#
發(fā)表于 2025-4-1 04:45:45 | 只看該作者
62#
發(fā)表于 2025-4-1 07:48:26 | 只看該作者
,th Root Root Asymptotic Behavior of Orthonormal Polynomials,We are concerned with asymptotic behavior of orthonormal polynomials . .(.;.) as n → ∞. We start from a positive weight measure . with with compact support .(.) . .. The results discussed here include:.and some application of the results.
63#
發(fā)表于 2025-4-1 10:17:07 | 只看該作者
64#
發(fā)表于 2025-4-1 17:51:17 | 只看該作者
https://doi.org/10.1007/978-94-009-0501-6Approximation; Jacobi; boundary element method; functional analysis; numerical analysis
65#
發(fā)表于 2025-4-1 20:10:38 | 只看該作者
Orthogonal Polynomials in Coding Theory and Algebraic Combinatorics,-codes and tight .-designs through the study of the zeros of orthogonal polynomials. The possible importance of multi-variable versions of Askey-Wilson polynomials in the future study of general commutative association schemes.
66#
發(fā)表于 2025-4-2 01:02:44 | 只看該作者
Using Symbols Computer Algebraic Systems to Derive Formulas Involving Orthogonal Polynomials and Otmula, and to prove the Askey-Gasper inequality which de Branges used in his proof of the Bieberbach conjecture. We also make some observations and conjectures related to Jensen’s necessary and sufficient conditions for the Riemann Hypothesis to hold.
67#
發(fā)表于 2025-4-2 06:10:53 | 只看該作者
68#
發(fā)表于 2025-4-2 07:51:52 | 只看該作者
Book 1990iversity in Columbus, Ohio, U.S.A. between May 22,1989 and June 3,1989. The Advanced Study Institute primarily concentrated on those aspects of the theory and practice of orthogonal polynomials which surfaced in the past decade when the theory of orthogonal polynomials started to experience an unpar
69#
發(fā)表于 2025-4-2 11:41:41 | 只看該作者
70#
發(fā)表于 2025-4-2 16:31:48 | 只看該作者
The Recursion Method and the Schroedinger Equation, the action of an observable on particular states. Polynomial sets for which weight distributions are known may be used as exact models form which the solutions of other models may be approximated by perturbations. The finite precision, orthogonal polynomial can be constructed numerically even for infinite dimensional models.
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