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Haar method


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1: 2.4 Contour Integrals
Furthermore, as t 0 + , q ( t ) has the expansion (2.3.7). For large t , the asymptotic expansion of q ( t ) may be obtained from (2.4.3) by Haar’s method. This depends on the availability of a comparison function F ( z ) for Q ( z ) that has an inverse transform …
§2.4(iii) Laplace’s Method
For this reason the name method of steepest descents is often used. …
§2.4(v) Coalescing Saddle Points: Chester, Friedman, and Ursell’s Method
2: 34.9 Graphical Method
§34.9 Graphical Method
The graphical method establishes a one-to-one correspondence between an analytic expression and a diagram by assigning a graphical symbol to each function and operation of the analytic expression. …For an account of this method see Brink and Satchler (1993, Chapter VII). For specific examples of the graphical method of representing sums involving the 3 j , 6 j , and 9 j symbols, see Varshalovich et al. (1988, Chapters 11, 12) and Lehman and O’Connell (1973, §3.3).
3: 17.18 Methods of Computation
§17.18 Methods of Computation
Method (2) is very powerful when applicable (Andrews (1976, Chapter 5)); however, it is applicable only rarely. Lehner (1941) uses Method (2) in connection with the Rogers–Ramanujan identities. Method (1) can sometimes be improved by application of convergence acceleration procedures; see §3.9. Shanks (1955) applies such methods in several q -series problems; see Andrews et al. (1986).
4: 12.18 Methods of Computation
§12.18 Methods of Computation
Because PCFs are special cases of confluent hypergeometric functions, the methods of computation described in §13.29 are applicable to PCFs. …
5: 34.13 Methods of Computation
§34.13 Methods of Computation
Methods of computation for 3 j and 6 j symbols include recursion relations, see Schulten and Gordon (1975a), Luscombe and Luban (1998), and Edmonds (1974, pp. 42–45, 48–51, 97–99); summation of single-sum expressions for these symbols, see Varshalovich et al. (1988, §§8.2.6, 9.2.1) and Fang and Shriner (1992); evaluation of the generalized hypergeometric functions of unit argument that represent these symbols, see Srinivasa Rao and Venkatesh (1978) and Srinivasa Rao (1981). For 9 j symbols, methods include evaluation of the single-sum series (34.6.2), see Fang and Shriner (1992); evaluation of triple-sum series, see Varshalovich et al. (1988, §10.2.1) and Srinivasa Rao et al. (1989). A review of methods of computation is given in Srinivasa Rao and Rajeswari (1993, Chapter VII, pp. 235–265). …
6: 16.25 Methods of Computation
§16.25 Methods of Computation
Methods for computing the functions of the present chapter include power series, asymptotic expansions, integral representations, differential equations, and recurrence relations. …
7: 18.40 Methods of Computation
§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. …
8: 32.17 Methods of Computation
§32.17 Methods of Computation
The Painlevé equations can be integrated by Runge–Kutta methods for ordinary differential equations; see §3.7(v), Hairer et al. (2000), and Butcher (2003). …
9: 29.20 Methods of Computation
§29.20 Methods of Computation
A second approach is to solve the continued-fraction equations typified by (29.3.10) by Newton’s rule or other iterative methods; see §3.8. … A third method is to approximate eigenvalues and Fourier coefficients of Lamé functions by eigenvalues and eigenvectors of finite matrices using the methods of §§3.2(vi) and 3.8(iv). …The numerical computations described in Jansen (1977) are based in part upon this method. A fourth method is by asymptotic approximations by zeros of orthogonal polynomials of increasing degree. …
10: 3.8 Nonlinear Equations
Bisection Method
Secant Method
Steffensen’s Method
Eigenvalue Methods