Low-order approximations for the normal probability integral and the error function

Author:

Carta David G.

Abstract

Rational fractions of the form 0.5 / ( a + b x + ) 2 q 0.5/{(a + bx + \ldots )^{2q}} are used to evaluate the function of interest. Polynomials of from third to sixth order are derived which achieve absolute errors ranging from 0.01 to 0.000001 for all (real) positive x, and relative errors of from 0.1 to 0.00001 for (real) positive x less than 3.1, 4.0, and 5.2. Denominator coefficients are calculated by linearizing the rational fraction about progressively improved nominal solutions and using linear programming to solve the resulting linear minimax problems.

Publisher

American Mathematical Society (AMS)

Subject

Applied Mathematics,Computational Mathematics,Algebra and Number Theory

Reference8 articles.

1. D. G. CARTA, "Low-order approximations for real time simulation," Record of Proc., The Seventh Annual Simulation Symposium, Tampa, Florida, March, 1974, pp. 241-252.

2. Approximations for Digital Computers

3. J. F. HART, et al., Computer Approximations, Wiley, New York, 1968.

4. Applications of linear programming to numerical analysis;Rabinowitz, Philip;SIAM Rev.,1968

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