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@inbook{1718657,
author = {Chatterjee, Krishnendu and Fu, Hongfei and Novotný, Petr},
address = {Cambridge, UK},
booktitle = {Foundations of Probabilistic Programming},
doi = {http://dx.doi.org/10.1017/9781108770750.008},
editor = {Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva},
keywords = {probabilistic programs; program analysis; termination; martingales},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cambridge, UK},
isbn = {978-1-108-48851-8},
pages = {221-258},
publisher = {Cambridge University Press},
title = {Termination Analysis of Probabilistic Programs with Martingales},
year = {2020}
}
TY - CHAP
ID - 1718657
AU - Chatterjee, Krishnendu - Fu, Hongfei - Novotný, Petr
PY - 2020
TI - Termination Analysis of Probabilistic Programs with Martingales
VL - Neuveden
PB - Cambridge University Press
CY - Cambridge, UK
SN - 9781108488518
KW - probabilistic programs
KW - program analysis
KW - termination
KW - martingales
N2 - Probabilistic programs extend classical imperative programs with random-value generators. For classical non-probabilistic programs, termination is a key question in static analysis of programs, that given a program and an initial condition asks whether it terminates. In the presence of probabilistic behavior there are two fundamental extensions of the termination question, namely, (a) the almost-sure termination question that asks whether the termination probability is 1; and (b) the bounded-time termination question that asks whether the expected termination time is bounded. While there are many active research directions to address the above problems, one important research direction is the use of martingale theory for termination analysis. We will survey the main techniques related to martingale-based approach for termination analysis of probabilistic programs.
ER -
CHATTERJEE, Krishnendu, Hongfei FU a Petr NOVOTNÝ. Termination Analysis of Probabilistic Programs with Martingales. In Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva. \textit{Foundations of Probabilistic Programming}. Cambridge, UK: Cambridge University Press, 2020, s.~221-258. ISBN~978-1-108-48851-8. Dostupné z: https://dx.doi.org/10.1017/9781108770750.008.
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