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    <title>An Extension of a Polynomial Time Algorithm for the Calculation of the Limit State Matrix in a Random Graph</title>
    <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3192</link>
    <description>A characterization of a simple Markov process based on a random graph theoretic structure is introduced. We propose a polynomial time algorithm for the calculation of a limit state matrix. The algorithm is based on two procedures which will be derived in this contribution. They exploit a distinguished decomposition principle of the underlying graph theoretic structure and the special property of an acyclic directed graph. </description>
    <category domain="http://popups.lib.uliege.be/1373-5411/index.php?id=65">Full text issues</category>
    <category domain="http://popups.lib.uliege.be/1373-5411/index.php?id=98">Volume 25</category>
    <category domain="http://popups.lib.uliege.be/1373-5411/index.php?id=3151">Risk Management, Optimization, and Control</category>
    <language>fr</language>
    <pubDate>Wed, 11 Sep 2024 17:01:24 +0200</pubDate>
    <lastBuildDate>Wed, 11 Sep 2024 17:01:55 +0200</lastBuildDate>
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