Unique in its approach, Models of Network Reliability: Analysis,
Combinatorics, and Monte Carlo provides a brief introduction to
Monte Carlo methods along with a concise exposition of reliability
theory ideas. From there, the text investigates a collection of
principal network reliability models, such as terminal connectivity
for networks with unreliable edges and/or nodes, network lifetime
distribution in the process of its destruction, network stationary
behavior for renewable components, importance measures of network
elements, reliability gradient, and network optimal reliability
synthesis.
Solutions to most principal network reliability problems
including medium-sized computer networks are presented in the form
of efficient Monte Carlo algorithms and illustrated with numerical
examples and tables. Written by reliability experts with
significant teaching experience, this reader-friendly text is an
excellent resource for software engineering, operations research,
industrial engineering, and reliability engineering students,
researchers, and engineers.
Stressing intuitive explanations and providing detailed proofs
of difficult statements, this self-contained resource includes a
wealth of end-of-chapter exercises, numerical examples, tables, and
offers a solutions manual making it ideal for self-study and
practical use.
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