Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Polynomial-time computability of the edge-reliability of graphs using Gilbert's formula - MaRDI portal

Polynomial-time computability of the edge-reliability of graphs using Gilbert's formula (Q1294685)

From MaRDI portal





scientific article; zbMATH DE number 1323016
Language Label Description Also known as
English
Polynomial-time computability of the edge-reliability of graphs using Gilbert's formula
scientific article; zbMATH DE number 1323016

    Statements

    Polynomial-time computability of the edge-reliability of graphs using Gilbert's formula (English)
    0 references
    0 references
    0 references
    9 August 1999
    0 references
    Summary: Reliability is an important consideration in analyzing computer and other communication networks, but current techniques are extremely limited in the classes of graphs which can be analyzed efficiently. While Gilbert's formula establishes a theoretically elegant recursive relationship between the edge reliability of a graph and the reliability of its subgraphs, naive evaluation requires consideration of all sequences of deletions of individual vertices, and for many graphs has time complexity essentially \(\Theta(N!)\). We discuss a general approach which significantly reduces complexity, encoding subgraph isomorphism in a finer partition by invariants, and recursing through the set of invariants. We illustrate this approach using threshold graphs, and show that any computation of reliability using Gilbert's formula will be polynomial-time if and only if the number of invariants considered is polynomial; we then show families of graphs with polynomial-time, and non-polynomial reliability computation, and show that these encompass most previously known results. We then codify our approach to indicate how it can be used for other classes of graphs, and suggest several classes to which the technique can be applied.
    0 references
    computational complexity
    0 references
    efficient recursive algorithms
    0 references
    networks
    0 references
    reliability
    0 references
    threshold graphs
    0 references
    Gilbert's formula
    0 references
    graphs
    0 references
    polynomial-time computations
    0 references

    Identifiers