{"product_id":"9780471170778","title":"Modern Simulation and Modeling","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eModern Simulation and Modeling\u003c\/h1\u003e\u003ch3\u003eReuven Y. Rubinstein | Benjamin Melamed\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eA step-by-step guide for today's modeling and simulation practices\u003cbr\u003e \u003cbr\u003e This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and optimization in a wide range of systems that exhibit complex interaction of discrete events. These include communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks, queueing systems, and more.\u003cbr\u003e \u003cbr\u003e Less focused on theory than on presenting a clear approach to practical applications, Modern Simulation and Modeling:\u003cbr\u003e * Emphasizes concepts rather than mathematical completeness\u003cbr\u003e * Integrates references and explanations of complex topics into the body of the text\u003cbr\u003e * Provides an innovative chapter on rare-event probability estimation\u003cbr\u003e * Describes the implementation of the score function (SF) method using the NSO simulation package\u003cbr\u003e * Features 40 illustrations and numerous algorithms\u003cbr\u003e * Offers extensive, end-of-chapter exercise sets\u003cbr\u003e * Includes chapter bibliographies for further reading\u003cbr\u003e \u003cbr\u003e Modern Simulation and Modeling is an essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference for professionals in statistics and probability, mathematics, and management science.\u003c\/div\u003e\u003cdiv\u003e REUVEN Y. RUBINSTEIN has written extensively on simulation while teaching in the Industrial Engineering and Management Department of the Technion-Israel Institute of Technology. BENJAMIN MELAMED is a member of the Rutgers University, Faculty of Management.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e09 March 1998\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471170778\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e384\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e23.52\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315441004684,"sku":"9780471170778","price":209.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471170778.jpg?v=1780139559","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780471170778","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}