Stochastic modelling and analysis: a computational approach
Stochastic modelling and analysis: a computational approach
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
A simple and efficient algorithm to compute tail probabilities from transforms
Operations Research
Numerical Differentiation of Analytic Functions
ACM Transactions on Mathematical Software (TOMS)
Modeling and Analysis of Computer Communications Networks
Modeling and Analysis of Computer Communications Networks
Numerical inversion of probability generating functions
Operations Research Letters
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Currently advocated techniques for inversion of probability generating functions via discrete Fourier transforms (DFTs) require computation of a large number of DFT coefficients to reduce the effects of aliasing, but this increases round-off error and still does not yield tail probabilities. We present a simple algorithm for obtaining complete queue lenght distributions using relatively few DFT coefficients.