Accurate approximations for the complex error function with small imaginary argument
arXiv:1411.1024 · doi:10.5539/jmr.v1n1p44
Abstract
In this paper we present two efficient approximations for the complex error function with small imaginary argument over the range that is commonly considered difficult for highly accurate and rapid computation. These approximations are expressed in terms of the Dawson's integral of real argument that enables their efficient implementation in a rapid algorithm. The error analysis we performed using the random input numbers and reveals that in the real and imaginary parts the average accuracy of the first approximation exceeds and , while the average accuracy of the second approximation exceeds and , respectively. The first approximation is slightly faster in computation. However, the second approximation provides excellent high-accuracy coverage over the required domain.
15 pages, 3 figures
References in corpus (2)
Cited by in corpus (7)
- The X-shooter GRB afterglow legacy sample (XS-GRB)
- A rational approximation for efficient computation of the Voigt function in quantitative spectroscopy
- A sampling-based approximation of the complex error function and its implementation without poles
- Quantitative interpretation of time-resolved coherent anti-Stokes Raman spectroscopy with all Gaussian pulses
- Analytical evaluation and asymptotic evaluation of Dawson's integral and related functions in mathematical physics
- A new application methodology of the Fourier transform for rational approximation of the complex error function
- A rational approximation for the Dawson's integral of real argument