## Abstract We develop algorithms to calculate the probability distribution of the longest path of an arbitrary stochastic activity network with continuous activity durations by three techniques: recursive Monte Carlo simulation, seriesβparallel reduction, and conditioning. Examples illustrate the
β¦ LIBER β¦
Approximating the longest path length of a stochastic DAG by a normal distribution in linear time
β Scribed by Ei Ando; Toshio Nakata; Masafumi Yamashita
- Book ID
- 118475175
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 374 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1570-8667
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