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11—18 of 18 matching pages

11: 11.6 Asymptotic Expansions
§11.6(i) Large | z | , Fixed ν
§11.6(ii) Large | ν | , Fixed z
§11.6(iii) Large | ν | , Fixed z / ν
c 3 ( λ ) = 20 λ 6 4 λ 4 ,
12: 12.11 Zeros
§12.11(ii) Asymptotic Expansions of Large Zeros
When a > 1 2 the zeros are asymptotically given by z a , s and z a , s ¯ , where s is a large positive integer and …
§12.11(iii) Asymptotic Expansions for Large Parameter
For large negative values of a the real zeros of U ( a , x ) , U ( a , x ) , V ( a , x ) , and V ( a , x ) can be approximated by reversion of the Airy-type asymptotic expansions of §§12.10(vii) and 12.10(viii). …
12.11.9 u a , 1 2 1 2 μ ( 1 1.85575 708 μ 4 / 3 0.34438 34 μ 8 / 3 0.16871 5 μ 4 0.11414 μ 16 / 3 0.0808 μ 20 / 3 ) ,
13: Bibliography G
  • W. Gautschi (1994) Algorithm 726: ORTHPOL — a package of routines for generating orthogonal polynomials and Gauss-type quadrature rules. ACM Trans. Math. Software 20 (1), pp. 21–62.
  • W. Gautschi (1959a) Exponential integral 1 e x t t n 𝑑 t for large values of n . J. Res. Nat. Bur. Standards 62, pp. 123–125.
  • A. Gil, J. Segura, and N. M. Temme (2014) Algorithm 939: computation of the Marcum Q-function. ACM Trans. Math. Softw. 40 (3), pp. 20:1–20:21.
  • Ya. I. Granovskiĭ, I. M. Lutzenko, and A. S. Zhedanov (1992) Mutual integrability, quadratic algebras, and dynamical symmetry. Ann. Phys. 217 (1), pp. 1–20.
  • GSL (free C library) GNU Scientific Library The GNU Project.
  • 14: 12.10 Uniform Asymptotic Expansions for Large Parameter
    §12.10 Uniform Asymptotic Expansions for Large Parameter
    In this section we give asymptotic expansions of PCFs for large values of the parameter a that are uniform with respect to the variable z , when both a and z ( = x ) are real. …
    Modified Expansions
    15: Bibliography D
  • B. Döring (1966) Complex zeros of cylinder functions. Math. Comp. 20 (94), pp. 215–222.
  • T. M. Dunster (1986) Uniform asymptotic expansions for prolate spheroidal functions with large parameters. SIAM J. Math. Anal. 17 (6), pp. 1495–1524.
  • T. M. Dunster (1989) Uniform asymptotic expansions for Whittaker’s confluent hypergeometric functions. SIAM J. Math. Anal. 20 (3), pp. 744–760.
  • T. M. Dunster (1991) Conical functions with one or both parameters large. Proc. Roy. Soc. Edinburgh Sect. A 119 (3-4), pp. 311–327.
  • T. M. Dunster (2003b) Uniform asymptotic expansions for associated Legendre functions of large order. Proc. Roy. Soc. Edinburgh Sect. A 133 (4), pp. 807–827.
  • 16: 18.39 Applications in the Physical Sciences
    The solutions (18.39.8) are called the stationary states as separation of variables in (18.39.9) yields solutions of form …
    §18.39(ii) A 3D Separable Quantum System, the Hydrogen Atom
    Derivations of (18.39.42) appear in Bethe and Salpeter (1957, pp. 12–20), and Pauling and Wilson (1985, Chapter V and Appendix VII), where the derivations are based on (18.39.36), and is also the notation of Piela (2014, §4.7), typifying the common use of the associated Coulomb–Laguerre polynomials in theoretical quantum chemistry. … A relativistic treatment becoming necessary as Z becomes large as corrections to the non-relativistic Schrödinger picture are of approximate order ( α Z ) 2 ( Z / 137 ) 2 , α being the dimensionless fine structure constant e 2 / ( 4 π ε 0 c ) , where c is the speed of light. … A major difficulty in such calculations, loss of precision, is addressed in Gautschi (2009) where use of variable precision arithmetic is discussed and employed. …
    17: Bibliography I
  • IMSL (commercial C, Fortran, and Java libraries) IMSL Nuerical Libraries..
  • K. Inkeri (1959) The real roots of Bernoulli polynomials. Ann. Univ. Turku. Ser. A I 37, pp. 1–20.
  • M. E. H. Ismail (2005) Classical and Quantum Orthogonal Polynomials in One Variable. Encyclopedia of Mathematics and its Applications, Vol. 98, Cambridge University Press, Cambridge.
  • M. E. H. Ismail (2009) Classical and Quantum Orthogonal Polynomials in One Variable. Encyclopedia of Mathematics and its Applications, Vol. 98, Cambridge University Press, Cambridge.
  • 18: 18.40 Methods of Computation
    Usually, however, other methods are more efficient, especially the numerical solution of difference equations (§3.6) and the application of uniform asymptotic expansions (when available) for OP’s of large degree. …
    18.40.4 lim N F N ( z ) = F ( z ) 1 μ 0 a b w ( x ) d x z x , z \ [ a , b ] ,
    18.40.5 F N ( z ) = 1 μ 0 n = 1 N w n z x n .
    Results of low ( 2 to 3 decimal digits) precision for w ( x ) are easily obtained for N 10 to 20 . …
    18.40.9 x ( t , N ) = x 1 , N 1 + a 1 ( t 1 ) 1 + a 2 ( t 2 ) 1 + a N 1 ( t ( N 1 ) ) 1 , t ( 0 , ) ,