Adaptive Aggregation of Markov Chains: Quantitative Analysis of Chemical Reaction Networks
Quantitative analysis of Markov models typically proceeds through numerical methods or simulation-based evaluation. Since the state space of the models can often be large, exact or approximate state aggregation methods (such as lumping or bisimulation reduction) have been proposed to improve the sca...
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
2015
|