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Companion experiments to the paper "Performability measures are matrix functions: how to compute them efficiently"

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Computing performability measures by matrix functions

This repository contains the code required to replicate the numerical experiments contained in the paper "Performability measures are matrix function: how to compute them efficiently".

The toolbox funm_quad, required to run these examples, can be retrieved here

The software here is described in the following paper:

Computing performability measures in Markov chains by means of matrix functions.
G. Masetti and L. Robol, 2018, arXiv preprint arXiv:1803.06322.

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Companion experiments to the paper "Performability measures are matrix functions: how to compute them efficiently"

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