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Sunday, May 10, 2015

Download computer simulation and modeling by w david kelton EBooks | Read online computer simulation and modeling by w david kelton EBooks

Download computer simulation and modeling by w david kelton EBooks | Read online computer simulation and modeling by w david kelton EBooks

Simulation Modeling and Analysis,
This senior/graduate-level text is the classic text in its field and established itself as the authoritative source on the theory & practice of simulation over 15 years ago. It is used in most of the better schools of engineering and in some business programs as well.
by Averill M. Law
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Simulation with Arena,
Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The text starts by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The academic version of Arena and example files are available through the book's website. McGraw-Hill is proud to offer Connect with the sixth edition of Kelton's, Simulation with Arena. This innovative and powerful system helps your students learn more efficiently and gives you the ability to customize your homework problems simply and easily. Track individual student performance - by question, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect, plus 24/7 access to an eBook. Kelton's Simulation with Arena, sixth edition, includes the power of McGraw-Hill's LearnSmart a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.
by W. David Kelton
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Computer Simulation,A Practical Perspective
Simulation overview; Evolution of modern computer simulation; Simulation in the real world; Six symptoms of a sick simulation; The professional simulation analyst; Building a simulation the right way; Learning a simulation language; Simple queuing systems; Advanced topics; Applying the process.
by Roger McHaney
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LSC CPSV (UNIV OF CINCINNATI CINCINNATI) Simio and Simulation: Modeling, Analysis, Applications,
A primary text in introductory and perhaps second courses in simulation at both the under-graduate and beginning-graduate levels. Such simulation courses are found in departments of industrial and systems engineering, most business schools, and many computer-science departments; simulation courses are also found in other engineering disciplines (mechanical, civil, electrical, chemical), mathe- matics, statistics, epidemiology, and agriculture. The text or components of it could also support a simulation module of a few weeks within a larger sur- vey course in programs without a stand-alone simulation course (e.g., MBA). It is written in an accessible tutorial-style writing approach centered around specific examples rather than general concepts, and covers a variety of appli-cations. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many dfferent backgrounds.
by W. David Kelton
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Proceedings of the 2nd European Simulation Congress, Sept. 9-12, 1986, The Park Hotel, Antwerp, Belgium,
This Proceedings volume deals with the uses and problems of simulation in a wide variety of fields and provides a comprehensive overview of the subject. The 130 internationally contributed papers cover the methodologies and algorithms of simulation techniques and simulation tools --- including both hardware and software. The simulation of well-defined systems is covered, as is the simulation of ill-defined systems. In addition to the more advanced methodologies and new mathematical concepts discussed here emphasis is given to the advanced information processing techniques. Advanced information processing encompasses the nonconventional data processing (multiprocessor and pipelining techniques) the automation of data acquisition (information base management systems), as well as the automation of the reasoning process and the knowledge acquisition (knowledge based systems). Such techniques will allow research workers to concentrate on the disciplinary aspects of the implemented problem, rather than on computer implementation and programming aspects.
by Philippe Geril
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The Simulation Metamodel,
Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that metamodeling can be used to help build a simulation study based on a complex model. A metamodel is a simpler, analytical model, auxiliary to the simulation model, which is used to better understand the more complex model, to test hypotheses about it, and provide a framework for improving the simulation study. The use of metamodels allows the researcher to work with a set of mathematical functions and analytical techniques to test simulations without the costly running and re-running of complex computer programs. In addition, metamodels have other advantages, and as a result they are being used in a variety of ways: model simplification, optimization, model interpretation, generalization to other models of similar systems, efficient sensitivity analysis, and the use of the metamodel's mathematical functions to answer questions about different variables within a simulation study.
by Linda Weiser Friedman
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A Computational Framework for Modeling the Spread of Pathogens and Generating Effective Containment Strategies in Weakly Connected Island Models,
We present a framework for modeling the spread of pathogens throughout a population and generating policies that minimize the impact of those pathogens on the population. The framework combines agent-based simulation, mathematical analysis, and an Evolutionary Algorithm (EA) optimizer. This framework is used to study the spread of human viruses between cities via airplane travel. We extend the model to include a vaccine supply to be optimally distributed. We develop plausible benchmark vaccine allocation policies, comparing them to policies found by the EA trying to minimize sick days in the simulation. Analysis of the EA policies indicates that the vaccine is generally distributed to the city of origin, frequently visited cities, and smaller cities. We design a new benchmark policy that uses these observations and is superior to our previous policies. If the model changes sufficiently, the EA can aid the researcher to find new policies that work for the model.
by Lucas Ray Shaw
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Large-Scale Simulation,Models, Algorithms, and Applications
Large-Scale Simulation: Models, Algorithms, and Applications gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authors’ papers in top-tier, peer-reviewed, scientific conference proceedings and journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault tolerant mechanisms, grid-enabled simulation, and federation communities. In the third part, the authors explore mechanisms—such as simulation cloning methods and algorithms—that support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and many-core architecture are used to study social phenomena. Reflecting the latest research in the field, this book guides you in using and further researching advanced models and algorithms for large-scale distributed simulation. These simulation tools will help you gain insight into large-scale systems across many disciplines.
by Dan Chen
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Event Correlation: What you Need to Know For IT Operations Management,
Event correlation has been used in telecommunications and industrial process control since the 1970s, in network management and systems management since the 1980s, in IT service management and event-based systems since the 1990s, and in business activity monitoring (BAM) since the early 2000s. This book is your ultimate resource for Event Correlation. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Event Correlation right away, covering: Event correlation, Event (computing), Business activity monitoring, Business transaction performance, Complex event processing, Concurrent estimation, Data event, Discrete event simulation, DOM events, Event chain diagram, Event chain methodology, Event loop, Event partitioning, Event Processing Technical Society, Event stream processing, Event-driven architecture, Event-driven programming, List of discrete event simulation software, Message queue, Renque, Reverse computation, Rulecore, Signal programming, Staged event-driven architecture, StreamBase Systems, WS-Eventing, WS-Notification, IT service management, Network management, Systems management, Information Technology Infrastructure Library, Network management station, Network management system, Issue tracking system, Root cause analysis, SCADA, Event condition action, Event-driven SOA, Incident Management (ITSM), BMC Software, CA Technologies, EMC Corporation, HP Operations Manager, IBM Tivoli Framework, System Center Operations Manager, Attachmate, Nimsoft, Quest Software This book explains in-depth the real drivers and workings of Event Correlation. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Event Correlation with the objectivity of experienced IT professionals.
by Michael Johnson
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Methods of Social Movement Research,
Citing the critical importance of empirical work to social movement research, the editors of this volume have put together the first systematic overview of the major methods used by social movement theorists. Original chapters cover the range of techniques: surveys, formal models, discourse analysis, in-depth interviews, participant observation, case studies, network analysis, historical methods, protest event analysis, macro-organizational analysis, and comparative politics. Each chapter includes a methodological discussion, examples of studies employing the method, an examination of its strengths and weaknesses, and practical guidelines for its application.
by Bert Klandermans
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Modeling and Simulation of Complex Systems,A Framework for Efficient Agent-Based Modeling and Simulation
Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the “General Reference Model for Agent-based Modeling and Simulation” (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models –from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.
by Robert Siegfried
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Simulation Modeling Methods,
Computer simulation modeling, the new force in business, allows managers to see the results of a process change before committing time and resources to it. The Simulation Modeling Toolkit is vital to understanding numerous applications of this important process. Its methods and techniques will help any reader reduce time and risk in developing new products and serving customers, and the CD-ROM insert enables the user to create and run simulations from start to finish.
by H. James Harrington
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Logistics and Supply Chain Management,

by P Radhakrishnan
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ISOM 2013 Proceedings (GIAP Journals, India),Proceeding Book of International Conference

by Global Institutes Amritsar and University of Mauritius
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Distributed Embedded Systems: Design, Middleware and Resources,IFIP 20th World Computer Congress, TC10 Working Conference on Distributed and Parallel Embedded Systems (DIPES 2008), September 7-10, 2008, Milano, Italy
This year, the IFIP Working Conference on Distributed and Parallel Embedded Sys tems (DIPES 2008) is held as part of the IFIP World Computer Congress, held in Milan on September 7 10, 2008. The embedded systems world has a great deal of experience with parallel and distributed computing. Many embedded computing systems require the high performance that can be delivered by parallel computing. Parallel and distributed computing are often the only ways to deliver adequate real time performance at low power levels. This year’s conference attracted 30 submissions, of which 21 were accepted. Prof. Jor ̈ g Henkel of the University of Karlsruhe graciously contributed a keynote address on embedded computing and reliability. We would like to thank all of the program committee members for their diligence. Wayne Wolf, Bernd Kleinjohann, and Lisa Kleinjohann Acknowledgements We would like to thank all people involved in the organization of the IFIP World Computer Congress 2008, especially the IPC Co Chairs Judith Bishop and Ivo De Lotto, the Organization Chair Giulio Occhini, as well as the Publications Chair John Impagliazzo. Further thanks go to the authors for their valuable contributions to DIPES 2008. Last but not least we would like to acknowledge the considerable amount of work and enthusiasm spent by our colleague Claudius Stern in preparing theproceedingsofDIPES2008. Hemadeitpossibletoproducethemintheircurrent professional and homogeneous style.
by Bernd Kleinjohann
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