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21: 10.41 Asymptotic Expansions for Large Order
U k + 1 ( p ) = 1 2 p 2 ( 1 p 2 ) U k ( p ) + 1 8 0 p ( 1 5 t 2 ) U k ( t ) d t ,
U 3 ( p ) = 1 4 14720 ( 30375 p 3 3 69603 p 5 + 7 65765 p 7 4 25425 p 9 ) ,
V 1 ( p ) = 1 24 ( 9 p + 7 p 3 ) ,
The curve E 1 B E 2 in the z -plane is the upper boundary of the domain 𝐊 depicted in Figure 10.20.3 and rotated through an angle 1 2 π . … This is because A k ( ζ ) and ζ 1 2 B k ( ζ ) , k = 0 , 1 , , do not form an asymptotic scale (§2.1(v)) as ζ + ; see Olver (1997b, pp. 422–425). …
22: 19.36 Methods of Computation
If (19.36.1) is used instead of its first five terms, then the factor ( 3 r ) 1 / 6 in Carlson (1995, (2.2)) is changed to ( 3 r ) 1 / 8 . For both R D and R J the factor ( r / 4 ) 1 / 6 in Carlson (1995, (2.18)) is changed to ( r / 5 ) 1 / 8 when the following polynomial of degree 7 (the same for both) is used instead of its first seven terms: … Accurate values of F ( ϕ , k ) E ( ϕ , k ) for k 2 near 0 can be obtained from R D by (19.2.6) and (19.25.13). … E ( ϕ , k ) can be evaluated by using (19.25.7), and R D by using (19.21.10), but cancellations may become significant. … Near these points there will be loss of significant figures in the computation of R J or R D . …
23: 3.2 Linear Algebra
Assume that 𝐀 can be factored as in (3.2.5), but without partial pivoting. … where ρ ( 𝐀 𝐀 T ) is the largest of the absolute values of the eigenvalues of the matrix 𝐀 𝐀 T ; see §3.2(iv). … is called the characteristic polynomial of 𝐀 and its zeros are the eigenvalues of 𝐀 . … has the same eigenvalues as 𝐀 . … Many methods are available for computing eigenvalues; see Golub and Van Loan (1996, Chapters 7, 8), Trefethen and Bau (1997, Chapter 5), and Wilkinson (1988, Chapters 8, 9).
24: 16.25 Methods of Computation
There is, however, an added feature in the numerical solution of differential equations and difference equations (recurrence relations). …See §§3.6(vii), 3.7(iii), Olde Daalhuis and Olver (1998), Lozier (1980), and Wimp (1984, Chapters 7, 8).
25: 20 Theta Functions
26: 3.7 Ordinary Differential Equations
where f , g , and h are analytic functions in a domain D . … Assume that we wish to integrate (3.7.1) along a finite path 𝒫 from z = a to z = b in a domain D . The path is partitioned at P + 1 points labeled successively z 0 , z 1 , , z P , with z 0 = a , z P = b . … where 𝐀 ( τ , z ) is the matrix … Let 𝐀 P be the ( 2 P ) × ( 2 P + 2 ) band matrix …
27: 19.27 Asymptotic Approximations and Expansions
§19.27(ii) R F ( x , y , z )
19.27.2 R F ( x , y , z ) = 1 2 z ( ln 8 z a + g ) ( 1 + O ( a z ) ) , a / z 0 .
19.27.6 R G ( 0 , y , z ) = z 2 + y 8 z ( ln ( 16 z y ) 1 ) ( 1 + O ( y z ) ) , y / z 0 .
§19.27(iv) R D ( x , y , z )
19.27.7 R D ( x , y , z ) = 3 2 z 3 / 2 ( ln ( 8 z a + g ) 2 ) ( 1 + O ( a z ) ) , a / z 0 .
28: 19.29 Reduction of General Elliptic Integrals
The advantages of symmetric integrals for tables of integrals and symbolic integration are illustrated by (19.29.4) and its cubic case, which replace the 8 + 8 + 12 = 28 formulas in Gradshteyn and Ryzhik (2000, 3.147, 3.131, 3.152) after taking x 2 as the variable of integration in 3. …where the arguments of the R D function are, in order, ( a b ) ( u c ) , ( b c ) ( a u ) , ( a b ) ( b c ) . … The first choice gives a formula that includes the 18+9+18 = 45 formulas in Gradshteyn and Ryzhik (2000, 3.133, 3.156, 3.158), and the second choice includes the 8+8+8+12 = 36 formulas in Gradshteyn and Ryzhik (2000, 3.151, 3.149, 3.137, 3.157) (after setting x 2 = t in some cases). … where …(The variables of R F are real and nonnegative unless both Q ’s have real zeros and those of Q 1 interlace those of Q 2 .) …
29: 3.5 Quadrature
If f C 2 m + 2 [ a , b ] , then the remainder E n ( f ) in (3.5.2) can be expanded in the form … About 2 9 = 512 function evaluations are needed. … with weight function w ( x ) , is one for which E n ( f ) = 0 whenever f is a polynomial of degree n 1 . … For further information, see Mason and Handscomb (2003, Chapter 8), Davis and Rabinowitz (1984, pp. 74–92), and Clenshaw and Curtis (1960). … Table 3.5.21 supplies cubature rules, including weights w j , for the disk D , given by x 2 + y 2 h 2 : …
30: 26.3 Lattice Paths: Binomial Coefficients
Table 26.3.1: Binomial coefficients ( m n ) .
m n
0 1 2 3 4 5 6 7 8 9 10
8 1 8 28 56 70 56 28 8 1
Table 26.3.2: Binomial coefficients ( m + n m ) for lattice paths.
m n
0 1 2 3 4 5 6 7 8
1 1 2 3 4 5 6 7 8 9
8 1 9 45 165 495 1287 3003 6435 12870