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Al-Salam%E2%80%93Chihara%20polynomials

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21: 8.23 Statistical Applications
In queueing theory the Erlang loss function is used, which can be expressed in terms of the reciprocal of Q ( a , x ) ; see Jagerman (1974) and Cooper (1981, pp. 80, 316–319). …
22: 26.13 Permutations: Cycle Notation
23: 26.6 Other Lattice Path Numbers
Table 26.6.1: Delannoy numbers D ( m , n ) .
m n
10 1 21 221 1561 8361 36365 1 34245 4 33905 12 56465 33 17445 80 97453
Table 26.6.3: Narayana numbers N ( n , k ) .
n k
5 0 1 10 20 10 1
24: Bibliography J
  • L. Jager (1997) Fonctions de Mathieu et polynômes de Klein-Gordon. C. R. Acad. Sci. Paris Sér. I Math. 325 (7), pp. 713–716 (French).
  • M. Jimbo, T. Miwa, Y. Môri, and M. Sato (1980) Density matrix of an impenetrable Bose gas and the fifth Painlevé transcendent. Phys. D 1 (1), pp. 80–158.
  • X.-S. Jin and R. Wong (1998) Uniform asymptotic expansions for Meixner polynomials. Constr. Approx. 14 (1), pp. 113–150.
  • X.-S. Jin and R. Wong (1999) Asymptotic formulas for the zeros of the Meixner polynomials. J. Approx. Theory 96 (2), pp. 281–300.
  • B. R. Judd (1976) Modifications of Coulombic interactions by polarizable atoms. Math. Proc. Cambridge Philos. Soc. 80 (3), pp. 535–539.
  • 25: 1.11 Zeros of Polynomials
    §1.11 Zeros of Polynomials
    Horner’s Scheme
    §1.11(ii) Elementary Properties
    The discriminant of f ( z ) is defined by …
    §1.11(v) Stable Polynomials
    26: 18.5 Explicit Representations
    §18.5 Explicit Representations
    Laguerre
    Hermite
    27: 18 Orthogonal Polynomials
    Chapter 18 Orthogonal Polynomials
    28: 36.5 Stokes Sets
    36.5.4 80 x 5 40 x 4 55 x 3 + 5 x 2 + 20 x 1 = 0 ,
    36.5.7 X = 9 20 + 20 u 4 Y 2 20 u 2 + 6 u 2 sign ( z ) ,
    For | Y | > Y 1 the second sheet is generated by a second solution of (36.5.6)–(36.5.9), and for | Y | < Y 1 it is generated by the roots of the polynomial equation …
    29: 22.7 Landen Transformations
    30: 9.18 Tables
  • Miller (1946) tabulates Ai ( x ) , Ai ( x ) for x = 20 ( .01 ) 2 ; log 10 Ai ( x ) , Ai ( x ) / Ai ( x ) for x = 0 ( .1 ) 25 ( 1 ) 75 ; Bi ( x ) , Bi ( x ) for x = 10 ( .1 ) 2.5 ; log 10 Bi ( x ) , Bi ( x ) / Bi ( x ) for x = 0 ( .1 ) 10 ; M ( x ) , N ( x ) , θ ( x ) , ϕ ( x ) (respectively F ( x ) , G ( x ) , χ ( x ) , ψ ( x ) ) for x = 80 ( 1 ) 30 ( .1 ) 0 . Precision is generally 8D; slightly less for some of the auxiliary functions. Extracts from these tables are included in Abramowitz and Stegun (1964, Chapter 10), together with some auxiliary functions for large arguments.

  • Zhang and Jin (1996, p. 337) tabulates Ai ( x ) , Ai ( x ) , Bi ( x ) , Bi ( x ) for x = 0 ( 1 ) 20 to 8S and for x = 20 ( 1 ) 0 to 9D.

  • Miller (1946) tabulates a k , Ai ( a k ) , a k , Ai ( a k ) , k = 1 ( 1 ) 50 ; b k , Bi ( b k ) , b k , Bi ( b k ) , k = 1 ( 1 ) 20 . Precision is 8D. Entries for k = 1 ( 1 ) 20 are reproduced in Abramowitz and Stegun (1964, Chapter 10).

  • Sherry (1959) tabulates a k , Ai ( a k ) , a k , Ai ( a k ) , k = 1 ( 1 ) 50 ; 20S.

  • Zhang and Jin (1996, p. 339) tabulates a k , Ai ( a k ) , a k , Ai ( a k ) , b k , Bi ( b k ) , b k , Bi ( b k ) , k = 1 ( 1 ) 20 ; 8D.