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1: 6.20 Approximations
  • Cody and Thacher (1968) provides minimax rational approximations for E 1 ( x ) , with accuracies up to 20S.

  • Cody and Thacher (1969) provides minimax rational approximations for Ei ( x ) , with accuracies up to 20S.

  • MacLeod (1996b) provides rational approximations for the sine and cosine integrals and for the auxiliary functions f and g , with accuracies up to 20S.

  • Luke (1969b, p. 25) gives a Chebyshev expansion near infinity for the confluent hypergeometric U -function (§13.2(i)) from which Chebyshev expansions near infinity for E 1 ( z ) , f ( z ) , and g ( z ) follow by using (6.11.2) and (6.11.3). Luke also includes a recursion scheme for computing the coefficients in the expansions of the U functions. If | ph z | < π the scheme can be used in backward direction.

  • 2: Bibliography G
  • W. Gautschi (1961) Recursive computation of the repeated integrals of the error function. Math. Comp. 15 (75), pp. 227–232.
  • W. Gautschi (1999) A note on the recursive calculation of incomplete gamma functions. ACM Trans. Math. Software 25 (1), pp. 101–107.
  • A. Gil, J. Segura, and N. M. Temme (2006c) The ABC of hyper recursions. J. Comput. Appl. Math. 190 (1-2), pp. 270–286.
  • A. Gil, J. Segura, and N. M. Temme (2007b) Numerically satisfactory solutions of hypergeometric recursions. Math. Comp. 76 (259), pp. 1449–1468.
  • 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.
  • 3: Bibliography M
  • A. J. MacLeod (1994) Computation of inhomogeneous Airy functions. J. Comput. Appl. Math. 53 (1), pp. 109–116.
  • A. J. MacLeod (2002b) The efficient computation of some generalised exponential integrals. J. Comput. Appl. Math. 148 (2), pp. 363–374.
  • X. Merrheim (1994) The computation of elementary functions in radix 2 p . Computing 53 (3-4), pp. 219–232.
  • M. Micu (1968) Recursion relations for the 3 - j symbols. Nuclear Physics A 113 (1), pp. 215–220.
  • D. S. Moak (1981) The q -analogue of the Laguerre polynomials. J. Math. Anal. Appl. 81 (1), pp. 20–47.
  • 4: Bibliography F
  • FDLIBM (free C library)
  • S. Fempl (1960) Sur certaines sommes des intégral-cosinus. Bull. Soc. Math. Phys. Serbie 12, pp. 13–20 (French).
  • S. Fillebrown (1992) Faster computation of Bernoulli numbers. J. Algorithms 13 (3), pp. 431–445.
  • G. Freud (1969) On weighted polynomial approximation on the whole real axis. Acta Math. Acad. Sci. Hungar. 20, pp. 223–225.
  • G. Freud (1976) On the coefficients in the recursion formulae of orthogonal polynomials. Proc. Roy. Irish Acad. Sect. A 76 (1), pp. 1–6.
  • 5: 18.40 Methods of Computation
    §18.40 Methods of Computation
    §18.40(i) Computation of Polynomials
    A numerical approach to the recursion coefficients and quadrature abscissas and weights
    A simple set of choices is spelled out in Gordon (1968) which gives a numerically stable algorithm for direct computation of the recursion coefficients in terms of the moments, followed by construction of the J-matrix and quadrature weights and abscissas, and we will follow this approach: Let N be a positive integer and define …and these can be used for the recursion coefficients …
    6: 18.39 Applications in the Physical Sciences
    The discrete variable representations (DVR) analysis is simplest when based on the classical OP’s with their analytically known recursion coefficients (Table 3.5.17_5), or those non-classical OP’s which have analytically known recursion coefficients, making stable computation of the x i and w i , from the J-matrix as in §3.5(vi), straightforward. …Table 18.39.1 lists typical non-classical weight functions, many related to the non-classical Freud weights of §18.32, and §32.15, all of which require numerical computation of the recursion coefficients (i. … Following the method of Schwartz (1961), Yamani and Reinhardt (1975), Bank and Ismail (1985), and Ismail (2009, §5.8)  have shown this is equivalent to determination of x such that c N ( x ) = 0 in the recursion scheme …The recursion of (18.39.46) is that for the type 2 Pollaczek polynomials of (18.35.2), with λ = l + 1 , a = b = 2 Z / s , and c = 0 , and terminates for x = x i N being a zero of the polynomial of order N . … As this follows from the three term recursion of (18.39.46) it is referred to as the J-Matrix approach, see (3.5.31), to single and multi-channel scattering numerics. …