Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Systems Analysis Using Simulation And Markov Models full books in PDF, epub, and Kindle. Read online Systems Analysis Using Simulation And Markov Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : John R. Clymer (Ph.D.)
Publisher :
ISBN 13 : 9780138813437
Total Pages : 81 pages
Book Rating : 4.8/5 (134 download)
Download or read book Systems Analysis Using Simulation and Markov Models written by John R. Clymer (Ph.D.) and published by . This book was released on 1990 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John R. Clymer
Publisher : Prentice Hall
ISBN 13 : 9780138803032
Total Pages : 352 pages
Book Rating : 4.8/5 (3 download)
Download or read book Systems Analysis Using Simulation and Markov Models written by John R. Clymer and published by Prentice Hall. This book was released on 1990-01-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jan Pukite
Publisher : John Wiley & Sons
ISBN 13 : 0780334825
Total Pages : 290 pages
Book Rating : 4.7/5 (83 download)
Download or read book Modeling for Reliability Analysis written by Jan Pukite and published by John Wiley & Sons. This book was released on 1998-06-22 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results."
Author : Peter Buchholz
Publisher : Springer
ISBN 13 : 3319066749
Total Pages : 137 pages
Book Rating : 4.3/5 (19 download)
Download or read book Input Modeling with Phase-Type Distributions and Markov Models written by Peter Buchholz and published by Springer. This book was released on 2014-05-20 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Containing a summary of several recent results on Markov-based input modeling in a coherent notation, this book introduces and compares algorithms for parameter fitting and gives an overview of available software tools in the area. Due to progress made in recent years with respect to new algorithms to generate PH distributions and Markovian arrival processes from measured data, the models outlined are useful alternatives to other distributions or stochastic processes used for input modeling. Graduate students and researchers in applied probability, operations research and computer science along with practitioners using simulation or analytical models for performance analysis and capacity planning will find the unified notation and up-to-date results presented useful. Input modeling is the key step in model based system analysis to adequately describe the load of a system using stochastic models. The goal of input modeling is to find a stochastic model to describe a sequence of measurements from a real system to model for example the inter-arrival times of packets in a computer network or failure times of components in a manufacturing plant. Typical application areas are performance and dependability analysis of computer systems, communication networks, logistics or manufacturing systems but also the analysis of biological or chemical reaction networks and similar problems. Often the measured values have a high variability and are correlated. It’s been known for a long time that Markov based models like phase type distributions or Markovian arrival processes are very general and allow one to capture even complex behaviors. However, the parameterization of these models results often in a complex and non-linear optimization problem. Only recently, several new results about the modeling capabilities of Markov based models and algorithms to fit the parameters of those models have been published.
Author : MIT Critical Data
Publisher : Springer
ISBN 13 : 3319437429
Total Pages : 435 pages
Book Rating : 4.3/5 (194 download)
Download or read book Secondary Analysis of Electronic Health Records written by MIT Critical Data and published by Springer. This book was released on 2016-09-09 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Author : Christof Schütte
Publisher : American Mathematical Soc.
ISBN 13 : 0821843591
Total Pages : 141 pages
Book Rating : 4.8/5 (218 download)
Download or read book Metastability and Markov State Models in Molecular Dynamics written by Christof Schütte and published by American Mathematical Soc.. This book was released on 2013-12-26 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications in modern biotechnology and molecular medicine often require simulation of biomolecular systems in atomic representation with immense length and timescales that are far beyond the capacity of computer power currently available. As a consequence, there is an increasing need for reduced models that describe the relevant dynamical properties while at the same time being less complex. In this book the authors exploit the existence of metastable sets for constructing such a reduced molecular dynamics model, the so-called Markov state model (MSM), with good approximation properties on the long timescales. With its many examples and illustrations, this book is addressed to graduate students, mathematicians, and practical computational scientists wanting an overview of the mathematical background for the ever-increasing research activity on how to construct MSMs for very different molecular systems ranging from peptides to proteins, from RNA to DNA, and via molecular sensors to molecular aggregation. This book bridges the gap between mathematical research on molecular dynamics and its practical use for realistic molecular systems by providing readers with tools for performing in-depth analysis of simulation and data-analysis methods. Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.
Author : Gregory R. Bowman
Publisher : Springer Science & Business Media
ISBN 13 : 9400776063
Total Pages : 148 pages
Book Rating : 4.4/5 (7 download)
Download or read book An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation written by Gregory R. Bowman and published by Springer Science & Business Media. This book was released on 2013-12-02 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescales using short simulations of detailed molecular models. 2) How to systematically gain insight from the resulting sea of data. MSMs do this by providing a compact representation of the vast conformational space available to biomolecules by decomposing it into states sets of rapidly interconverting conformations and the rates of transitioning between states. This kinetic definition allows one to easily vary the temporal and spatial resolution of an MSM from high-resolution models capable of quantitative agreement with (or prediction of) experiment to low-resolution models that facilitate understanding. Additionally, MSMs facilitate the calculation of quantities that are difficult to obtain from more direct MD analyses, such as the ensemble of transition pathways. This book introduces the mathematical foundations of Markov models, how they can be used to analyze simulations and drive efficient simulations, and some of the insights these models have yielded in a variety of applications of molecular simulation.
Author : Bernard Zeigler
Publisher : Springer Science & Business Media
ISBN 13 : 1447145704
Total Pages : 50 pages
Book Rating : 4.4/5 (471 download)
Download or read book Guide to Modeling and Simulation of Systems of Systems written by Bernard Zeigler and published by Springer Science & Business Media. This book was released on 2012-10-22 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This user’s reference is a companion to the separate book also titled “Guide to Modelling and Simulation of Systems of Systems.” The principal book explicates integrated development environments to support virtual building and testing of systems of systems, covering in some depth the MS4 Modelling EnvironmentTM. This user’s reference provides a quick reference and exposition of the various concepts and functional features covered in that book. The topics in the user’s reference are grouped in alignment with the workflow displayed on the MS4 Modeling EnvironmentTM launch page, under the headings Atomic Models, System Entity Structure, Pruning SES, and Miscellaneous. For each feature, the reference discusses why we use it, when we should use it, and how to use it. Further comments and links to related features are also included.
Author : Hisashi Kobayashi
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.3/5 (91 download)
Download or read book Modeling and Analysis written by Hisashi Kobayashi and published by Addison Wesley Publishing Company. This book was released on 1978 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an attempt to fill the gap between practitioners and theoreticians, and make the modeling and analysis of system performance more methodical and more realistic. It provides a cohesive introduction to the modeling and analysis techniques. A lack of system knowledge may not handicap the reader in digesting the material, successful application of these techniques to actual modeling requires a great deal of system knowledge. The problem of mapping a given or hypothetical system onto a model is as important as solving the model itself. In order to formulate the real system into an abstract form, one must be knowledgeable about which models are mathematically tractable, and how sensitive model solutions will be to specific assumptions and approximations introduced.
Author : Barry L. Nelson
Publisher : Courier Corporation
ISBN 13 : 0486139948
Total Pages : 338 pages
Book Rating : 4.4/5 (861 download)
Download or read book Stochastic Modeling written by Barry L. Nelson and published by Courier Corporation. This book was released on 2012-10-11 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coherent introduction to techniques also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Includes formulation of models, analysis, and interpretation of results. 1995 edition.
Author : Michael W. Carter
Publisher : CRC Press
ISBN 13 : 1482274477
Total Pages : 411 pages
Book Rating : 4.4/5 (822 download)
Download or read book Operations Research written by Michael W. Carter and published by CRC Press. This book was released on 2017-12-19 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students with diverse backgrounds will face a multitude of decisions in a variety of engineering, scientific, industrial, and financial settings. They will need to know how to identify problems that the methods of operations research (OR) can solve, how to structure the problems into standard mathematical models, and finally how to apply or develop computational tools to solve the problems. Perfect for any one-semester course in OR, Operations Research: A Practical Introduction answers all of these needs. In addition to providing a practical introduction and guide to using OR techniques, it includes a timely examination of innovative methods and practical issues related to the development and use of computer implementations. It provides a sound introduction to the mathematical models relevant to OR and illustrates the effective use of OR techniques with examples drawn from industrial, computing, engineering, and business applications. Many students will take only one course in the techniques of Operations Research. Operations Research: A Practical Introduction offers them the greatest benefit from that course through a broad survey of the techniques and tools available for quantitative decision making. It will also encourage other students to pursue more advanced studies and provides you a concise, well-structured, vehicle for delivering the best possible overview of the discipline.
Author : John R. Clymer
Publisher : John Wiley & Sons
ISBN 13 : 047040129X
Total Pages : 535 pages
Book Rating : 4.4/5 (74 download)
Download or read book Simulation-Based Engineering of Complex Systems written by John R. Clymer and published by John Wiley & Sons. This book was released on 2009-03-16 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to understanding, designing, analyzing, and evaluating complex systems During the last few years, Simulation-Based Systems Engineering (SBSE) has become an essential tool for the design and evaluation of complex systems. This is the first book to cover the basic principles of complex systems through the use of hands-on experimentation using an icon-based simulation tool. Utilizing the accompanying software tool ExtendSim, which works with the OpEMCSS library, readers are invited to engage in simulation-based experiments that demonstrate the principles of complex systems with an emphasis on design, analysis, and evaluation. A number of real-world examples are included to demonstrate how to model complex systems across a range of engineering, business, societal, economic, and scientific disciplines. Beginning with an introduction to SBSE, the book covers: Simulation concepts and building blocks Systems design and model development Markov model development Reliability processes Queuing theory in SBSE Rule-based learning and adaptation Agent motion and spatial interactions Multi-agent system of systems Assuming only a very basic background in problem-solving ability, this book is ideal as a textbook for students (a homework solution manual is also available) and as a reference book for practitioners in industry.
Author : Stanley B. Gershwin
Publisher : Springer Science & Business Media
ISBN 13 : 1461510198
Total Pages : 443 pages
Book Rating : 4.4/5 (615 download)
Download or read book Analysis and Modeling of Manufacturing Systems written by Stanley B. Gershwin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains. These papers deal with fundamental questions (how to predict factory performance: how to operate production systems) and explicitly treat the stochastic nature of failures, operation times, demand, and other important events. Analysis and Modeling of Manufacturing Systems will be of interest to readers with a strong background in operations research, including researchers and mathematically sophisticated practitioners.
Author : Achim Sydow
Publisher : Elsevier Publishing Company
ISBN 13 :
Total Pages : 476 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computational Systems Analysis written by Achim Sydow and published by Elsevier Publishing Company. This book was released on 1992 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impetus to publish this handbook dates back to the Berlin Symposium on Systems Analysis and Simulation in 1988. At that time one could state the close relation between the task of analysing complex systems and the development of simulation software tools. The controlling influence of systems research provides systems analysts with powerful simulation tools supporting the modelling process itself as well as the experimental phase with the simulated model. System Analysis by means of such extended simulation tools here is named briefly Computational Systems Analysis. It connects systems theory, numerical mathematics, control and decisions sciences, and application sciences like biology, economy, and others on the base of computer technique to investigate special systems and to find control strategies.
Author : Oliver Ibe
Publisher : Newnes
ISBN 13 : 0124078397
Total Pages : 515 pages
Book Rating : 4.1/5 (24 download)
Download or read book Markov Processes for Stochastic Modeling written by Oliver Ibe and published by Newnes. This book was released on 2013-05-22 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader. Presents both the theory and applications of the different aspects of Markov processes Includes numerous solved examples as well as detailed diagrams that make it easier to understand the principle being presented Discusses different applications of hidden Markov models, such as DNA sequence analysis and speech analysis.
Author : Javier Faulin
Publisher : Springer Science & Business Media
ISBN 13 : 1848822138
Total Pages : 324 pages
Book Rating : 4.8/5 (488 download)
Download or read book Simulation Methods for Reliability and Availability of Complex Systems written by Javier Faulin and published by Springer Science & Business Media. This book was released on 2010-04-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.
Author : Michael Carter
Publisher : CRC Press
ISBN 13 : 1498780121
Total Pages : 361 pages
Book Rating : 4.4/5 (987 download)
Download or read book Operations Research written by Michael Carter and published by CRC Press. This book was released on 2018-08-06 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management. The text accomplishes two goals. First, it provides readers with an introduction to standard mathematical models and algorithms. Second, it is a thorough examination of practical issues relevant to the development and use of computational methods for problem solving. Highlights: All chapters contain up-to-date topics and summaries A succinct presentation to fit a one-term course Each chapter has references, readings, and list of key terms Includes illustrative and current applications New exercises are added throughout the text Software tools have been updated with the newest and most popular software Many students of various disciplines such as mathematics, economics, industrial engineering and computer science often take one course in operations research. This book is written to provide a succinct and efficient introduction to the subject for these students, while offering a sound and fundamental preparation for more advanced courses in linear and nonlinear optimization, and many stochastic models and analyses. It provides relevant analytical tools for this varied audience and will also serve professionals, corporate managers, and technical consultants.
