Department of Mathematics and Statistics
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This collection contains pre-prints and post-prints of journal articles written by selected York University Mathematics faculty.
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Browsing Department of Mathematics and Statistics by Subject "complex probability function"
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Item Open Access Master-Slave Algorithm for Highly Accurate and Rapid Computation of the Voigt/Complex Error Function(Journal of Mathematics Research, 2014-06) Abrarov, S. M.; Quine, B. M.We obtain a rational approximation of the Voigt/complex error function by Fourier expansion of the exponential function ${e^{ - {{\left( {t - 2\sigma } \right)}^2}}}$ and present master-slave algorithm for its efficient computation. The error analysis shows that at $y > {10^{ - 5}}$ the computed values match with highly accurate references up to the last decimal digits. The common problem that occurs at $y \to 0$ is effectively resolved by main and supplementary approximations running computation flow in a master-slave mode. Since the proposed approximation is rational function, it can be implemented in a rapid algorithm.Item Open Access On the Fourier expansion method for highly accurate computation of the Voigt/complex error function in a rapid algorithm(2012-06-21) Abrarov, S. M.; Quine, B. M.In our recent publication [1] we presented an exponential series approximation suitable for highly accurate computation of the complex error function in a rapid algorithm. In this Short Communication we describe how a simplified representation of the proposed complex error function approximation makes possible further algorithmic optimization resulting in a considerable computational acceleration without compromise on accuracy.