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21: 26.3 Lattice Paths: Binomial Coefficients
§26.3(iii) Recurrence Relations
22: 18.33 Polynomials Orthogonal on the Unit Circle
§18.33(ii) Recurrence Relations
For an alternative and more detailed approach to the recurrence relations, see §18.33(vi). …
Recurrence Relations
Equivalent to the recurrence relations (18.33.23), (18.33.24) are the inverse Szegő recurrence relationswhile combination of (18.33.27) and (18.33.23) gives the three-term recurrence relation
23: 14.21 Definitions and Basic Properties
§14.21(iii) Properties
This includes, for example, the Wronskian relations (14.2.7)–(14.2.11); hypergeometric representations (14.3.6)–(14.3.10) and (14.3.15)–(14.3.20); results for integer orders (14.6.3)–(14.6.5), (14.6.7), (14.6.8), (14.7.6), (14.7.7), and (14.7.11)–(14.7.16); behavior at singularities (14.8.7)–(14.8.16); connection formulas (14.9.11)–(14.9.16); recurrence relations (14.10.3)–(14.10.7). …
24: 15.19 Methods of Computation
§15.19(iv) Recurrence Relations
25: 26.4 Lattice Paths: Multinomial Coefficients and Set Partitions
§26.4(iii) Recurrence Relation
26: 26.9 Integer Partitions: Restricted Number and Part Size
§26.9(iii) Recurrence Relations
27: 26.6 Other Lattice Path Numbers
§26.6(iii) Recurrence Relations
26.6.10 D ( m , n ) = D ( m , n 1 ) + D ( m 1 , n ) + D ( m 1 , n 1 ) , m , n 1 ,
28: 28.14 Fourier Series
28.14.4 q c 2 m + 2 ( a ( ν + 2 m ) 2 ) c 2 m + q c 2 m 2 = 0 , a = λ ν ( q ) , c 2 m = c 2 m ν ( q ) ,
29: 13.29 Methods of Computation
§13.29(iv) Recurrence Relations
The recurrence relations in §§13.3(i) and 13.15(i) can be used to compute the confluent hypergeometric functions in an efficient way. …
30: 10.74 Methods of Computation
§10.74(iv) Recurrence Relations
If values of the Bessel functions J ν ( z ) , Y ν ( z ) , or the other functions treated in this chapter, are needed for integer-spaced ranges of values of the order ν , then a simple and powerful procedure is provided by recurrence relations typified by the first of (10.6.1). …