A strongly polynomial algorithm for criticality of branching processes and consistency of stochastic context-free grammars

نویسندگان

  • Javier Esparza
  • Andreas Gaiser
  • Stefan Kiefer
چکیده

Multi-type branching processes (MBPs) are stochastic processes modeling populations in which the individuals of a generation produce a random number of children of different types or species in the next generation. Individuals can be elementary particles, genes, animals, or program threads [1,2]. MBPs are classified into subcritical, critical, and supercritical, depending on the spectral radius of a certain matrix, the expectation matrix. This division plays a central role, since many theorems assume that the process belongs to one of these classes. In particular, criticality is strongly related to the extinction probability: under some weak conditions, the population of subcritical and critical processes

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عنوان ژورنال:
  • Inf. Process. Lett.

دوره 113  شماره 

صفحات  -

تاریخ انتشار 2013