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26

COLCOM
2005
IEEE

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Stochasticity of probabilistic systems: analysis methodologies case-study

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Stochasticity of probabilistic systems: analysis methodologies case-study

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We do a case study of two different analysis techniques for studying the stochastic behavior of a randomized system/algorithms: (i) The ﬁrst approach can be broadly termed as a mean value analysis (MVA), where the evolution of the mean state is studied assuming that the system always actually resides in the mean state. (ii) The second approach looks at the probability distribution function of the system states at any time instance, thus studying the evolution of the (probability mass) distribution function (EoDF).

Anwitaman Datta, Martin Hasler, Karl Aberer

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COLCOM 2005 | Distribution Function | Mean State | Mean Value Analysis |

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Added	24 Jun 2010
Updated	24 Jun 2010
Type	Conference
Year	2005
Where	COLCOM
Authors	Anwitaman Datta, Martin Hasler, Karl Aberer

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