backward recursion
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1: 3.6 Linear Difference Equations
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►A “trial solution” is then computed by backward recursion, in the course of which the original components of the unwanted solution die away.
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►If, as , the wanted solution grows (decays) in magnitude at least as fast as any solution of the corresponding homogeneous equation, then forward (backward) recursion is stable.
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►Then is generated by backward recursion from
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►Within this framework forward and backward recursion may be regarded as the special cases and , respectively.
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2: 7.22 Methods of Computation
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►See Gautschi (1977a), where forward and backward recursions are used; see also Gautschi (1961).
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3: 29.20 Methods of Computation
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►Subsequently, formulas typified by (29.6.4) can be applied to compute the coefficients of the Fourier expansions of the corresponding Lamé functions by backward recursion followed by application of formulas typified by (29.6.5) and (29.6.6) to achieve normalization; compare §3.6.
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4: 29.6 Fourier Series
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►This solution can be constructed from (29.6.4) by backward recursion, starting with and an arbitrary nonzero value of , followed by normalization via (29.6.5) and (29.6.6).
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5: 6.20 Approximations
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Luke (1969b, p. 25) gives a Chebyshev expansion near infinity for the confluent hypergeometric -function (§13.2(i)) from which Chebyshev expansions near infinity for , , and 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 functions. If the scheme can be used in backward direction.