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Termination Analysis of Probabilistic Programs with Martingales

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00114618" target="_blank" >RIV/00216224:14330/20:00114618 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1017/9781108770750.008" target="_blank" >http://dx.doi.org/10.1017/9781108770750.008</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1017/9781108770750.008" target="_blank" >10.1017/9781108770750.008</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Termination Analysis of Probabilistic Programs with Martingales

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    <a href="/en/project/GJ19-15134Y" target="_blank" >GJ19-15134Y: Verification and Analysis of Probabilistic Programs</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Foundations of Probabilistic Programming

  • ISBN

    9781108488518

  • Number of pages of the result

    38

  • Pages from-to

    221-258

  • Number of pages of the book

    582

  • Publisher name

    Cambridge University Press

  • Place of publication

    Cambridge, UK

  • UT code for WoS chapter