# orthogonality

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## 1—10 of 130 matching pages

##### 1: René F. Swarttouw

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►Swarttouw is mainly a teacher of mathematics and has published a few papers on special functions and orthogonal polynomials.
He is coauthor of the book
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*Hypergeometric Orthogonal Polynomials and Their $q$-Analogues*) Hypergeometric Orthogonal Polynomials and Their $q$-Analogues. … ►##### 2: 18.37 Classical OP’s in Two or More Variables

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###### Orthogonality

… ►The following three conditions, taken together, determine ${R}_{m,n}^{(\alpha )}\left(z\right)$ uniquely: … ►###### §18.37(ii) OP’s on the Triangle

… ►###### Orthogonality

… ►Orthogonal polynomials associated with root systems are certain systems of trigonometric polynomials in several variables, symmetric under a certain finite group (Weyl group), and orthogonal on a torus. …##### 3: 18.36 Miscellaneous Polynomials

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►Sobolev OP’s are orthogonal with respect to an inner product involving derivatives.
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###### §18.36(iii) Multiple OP’s

►These are polynomials in one variable that are orthogonal with respect to a number of different measures. … ►###### §18.36(iv) Orthogonal Matrix Polynomials

►These are matrix-valued polynomials that are orthogonal with respect to a square matrix of measures on the real line. …##### 4: 18 Orthogonal Polynomials

###### Chapter 18 Orthogonal Polynomials

…##### 5: 16.7 Relations to Other Functions

##### 6: 18.40 Methods of Computation

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►Orthogonal polynomials can be computed from their explicit polynomial form by Horner’s scheme (§1.11(i)).
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►However, for applications in which the OP’s appear only as terms in series expansions (compare §18.18(i)) the need to compute them can be avoided altogether by use instead of Clenshaw’s algorithm (§3.11(ii)) and its straightforward generalization to OP’s other than Chebyshev.
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##### 7: Roelof Koekoek

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►Koekoek is mainly a teacher of mathematics and has published a few papers on orthogonal polynomials.
He is also author of the book Hypergeometric Orthogonal Polynomials and Their $q$-Analogues (with P.
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##### 8: 18.38 Mathematical Applications

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