By Ilya B. Gertsbakh,Yoseph Shpungin
Unique in its technique, Models of community Reliability: research, Combinatorics, and Monte Carlo offers a short advent to Monte Carlo equipment in addition to a concise exposition of reliability idea principles. From there, the textual content investigates a set of valuable community reliability types, comparable to terminal connectivity for networks with unreliable edges and/or nodes, community lifetime distribution within the strategy of its destruction, community desk bound habit for renewable parts, significance measures of community parts, reliability gradient, and community optimum reliability synthesis.
Solutions to so much vital community reliability problems—including medium-sized machine networks—are offered within the kind of effective Monte Carlo algorithms and illustrated with numerical examples and tables. Written via reliability specialists with major educating event, this reader-friendly textual content is a wonderful source for software program engineering, operations examine, commercial engineering, and reliability engineering scholars, researchers, and engineers.
Stressing intuitive reasons and supplying distinctive proofs of inauspicious statements, this self-contained source incorporates a wealth of end-of-chapter workouts, numerical examples, tables, and provides a recommendations manual—making it perfect for self-study and useful use.
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Extra info for Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo
Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo by Ilya B. Gertsbakh,Yoseph Shpungin