{"product_id":"models-of-network-reliability-hardback","title":"Models of Network Reliability - Hardback","description":"\u003cp\u003eUnique in its approach, \u003cstrong\u003eModels of Network Reliability: Analysis, Combinatorics, and Monte Carlo\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSolutions 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eStressing 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. \u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45584091644142,"sku":"9781439817414","price":146.4,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9781439817414.jpg?v=1721106501","url":"https:\/\/bookland.com.au\/products\/models-of-network-reliability-hardback","provider":"Book Land AU","version":"1.0","type":"link"}