Rational Chebyshev Approximations for the Inverse of the ...
MATHEMATICS OF COMPUTATION, VOLUME 30, NUMBER 136 OCTOBER 1976, PAGES 827-830
Rational Chebyshev Approximations for the Inverse of the Error Function
By J. M. Blair, CA. Edwards and J. H. Johnson
Abstract. This report presents near-minimax rational approximations for the inverse
of the error function invert x, for 0 < x < 1 -- 10
, with relative errors rang-
--23
ing down to 10 . An asymptotic formula for the region x --1 is also given.
1. Introduction. The inverse error function inverf x occurs in the solution of nonlinear heat and diffusion problems [ 1]. It provides exact solutions when the diffusion coefficient is concentration dependent, and may be used to solve certain moving interface problems. The percentage points of the normal distribution, which are important in statistical calculations, are expressible in terms of inverf x, and a common method of computing normally distributed random numbers [2], [3] requires efficient approximations.
The basic mathematical properties of the related function inverfc x axe discussed in [4] and [1], and 10S Chebyshev series expansions are given in [1]. [5] lists 3D rational approximations, and [6] contains 7S rational minimax approximations to inverf x and inverfc x. The most accurate set of approximations is given in [7], which contains Chebyshev series expansions accurate to at least 18S for 0 0, x lies in the range [0, 1). The complementary error function is defined as
erfc y = 1 - erf y.
The inverse error function is defined by
Received December 15, 1975; revised March 16, 1976.
AMS (MOS) subject classifications (1970). Primary 65D20; Secondary 33A20, 41A50.
Key words and phrases. Rational Chebyshev approximations, inverse error function, minimal
Newton form.
827
Copyright ? 1976, American Mathematical Society
828
J. M. BLAIR, C. A. EDWARDS AND J. H. JOHNSON
y = inverf x, and the inverse error function complement by
y = inverfc (1 - x).
inverf x exists for x in the range -1 < x < 1 and is an odd function of x, with a Maclaurin expansion of the form
oo
inverf* = ? Cnx2n~y.
n-\
The first two hundred values of Cn are listed in [7]. By inverting the standard asymptotic series
0) ?r ~ >- T^1 [' + t,(-t ' ?3 ?5(V)12"-' ?]. y
we can derive an asymptotic expansion for inverf * of the form
(inverfx)2 ~ ................
................
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