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Digital Computer Based Simulations

Author: Andrew Motes
Publisher:
ISBN: 9781520775678
Size: 18.38 MB
Format: PDF, ePub
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Engineers and physicists find it useful to model physical systems using digital computers. With this book you will learn how this is done using a variety of examples that include: satellite orbit simulations, aircraft flight simulators, thermal diffusion simulations, and laser beam propagation simulations. The author assumes that you have never used discrete modeling methods and steps you through the concepts starting with easy methods and working up to the difficult ones. Extensive appendices are included for those that need tutoring in complex math and imaginary numbers, derivation of the scalar wave equation, and calculating the effects of random atmospheric turbulence. The author gives you the benefit of his 40-years experience and has also made most of his computer code available upon request.

Computer Simulation And Modelling

Author: Francis Neelamkavil
Publisher: John Wiley & Sons Incorporated
ISBN:
Size: 61.94 MB
Format: PDF, Kindle
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This one-volume text covers all important aspects of computer modelling and simulation. Based on the idea of ``learning by doing,'' this text teaches the actual construction and use of both analogue and digital simulation models in continuous and discrete systems, while emphasizing the digital computer simulation of discrete systems. Covers the use of microprocessors and computer graphics for modelling and simulation and the availability of micro-based software. Stresses practical problem-solving with numerous diagrams and numerical examples. Also provided are sample program listings (Pascal, CSMP, GPSS, SIMSCRIPT) and output from actual computer runs.

The Guide To Computer Simulations And Games

Author: K. Becker
Publisher: John Wiley & Sons
ISBN: 1118235592
Size: 18.17 MB
Format: PDF, ePub, Mobi
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The first computer simulation book for anyone designing or building a game Answering the growing demand for a book catered for those who design, develop, or use simulations and games this book teaches you exactly what you need to know in order to understand the simulations you build or use all without having to earn another degree. Organized into three parts, this informative book first defines computer simulations and describes how they are different from live-action and paper-based simulations. The second section builds upon the previous, with coverage of the technical details of simulations, a detailed description of how models are built, and an explanation of how those models are translated into simulations. Finally, the last section develops four examples that walk you through the process from model to finished and functional simulation, all of which are created using freely available software and all of which can be downloaded. Targets anyone interested in learning about the inner workings of a simulation or game, but may not necessarily be a programmer or scientist Offers technical details on what simulations are and how they are built without overwhelming you with intricate jargon Breaks down simulation vs. modeling and traditional vs. computer simulations Examines verification and validation and discusses simulation tools Whether you need to learn how simulations work or it's something you've always been curious about but couldn't find the right resource, look no further. The Guide to Computer Simulations and Games is the ideal book for getting a solid understanding of this fascinating subject.

Science In The Age Of Computer Simulation

Author: Eric Winsberg
Publisher: University of Chicago Press
ISBN: 0226902048
Size: 26.44 MB
Format: PDF, Mobi
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Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Eric Winsberg seeks to answer these questions in Science in the Age of Computer Simulation. Scrutinizing these issue with a philosophical lens, Winsberg explores the impact of simulation on such issues as the nature of scientific evidence; the role of values in science; the nature and role of fictions in science; and the relationship between simulation and experiment, theories and data, and theories at different levels of description. Science in the Age of Computer Simulation will transform many of the core issues in philosophy of science, as well as our basic understanding of the role of the digital computer in the sciences.

Fluid Simulation For Computer Graphics Second Edition

Author: Robert Bridson
Publisher: CRC Press
ISBN: 1482232847
Size: 30.43 MB
Format: PDF, Kindle
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A practical introduction, the second edition of Fluid Simulation for Computer Graphics shows you how to animate fully three-dimensional incompressible flow. It covers all the aspects of fluid simulation, from the mathematics and algorithms to implementation, while making revisions and updates to reflect changes in the field since the first edition. Highlights of the Second Edition New chapters on level sets and vortex methods Emphasizes hybrid particle–voxel methods, now the industry standard approach Covers the latest algorithms and techniques, including: fluid surface reconstruction from particles; accurate, viscous free surfaces for buckling, coiling, and rotating liquids; and enhanced turbulence for smoke animation Adds new discussions on meshing, particles, and vortex methods The book changes the order of topics as they appeared in the first edition to make more sense when reading the first time through. It also contains several updates by distilling author Robert Bridson’s experience in the visual effects industry to highlight the most important points in fluid simulation. It gives you an understanding of how the components of fluid simulation work as well as the tools for creating your own animations.

Guide To Simulation Based Disciplines

Author: Saurabh Mittal
Publisher: Springer
ISBN: 3319612646
Size: 57.88 MB
Format: PDF, ePub, Mobi
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This invaluable text/reference reviews the state of the art in simulation-based approaches across a wide range of different disciplines, and provides evidence of using simulation-based approaches to advance these disciplines. Highlighting the benefits that simulation can bring to any field, the volume presents case studies by the leading experts from such diverse domains as the life sciences, engineering, architecture, arts, and social sciences. Topics and features: includes review questions at the end of every chapter; provides a broad overview of the evolution of the concept of simulation, stressing its importance across numerous sectors and disciplines; addresses the role of simulation in engineering design, and emphasizes the benefits of integrating simulation into the systems engineering paradigm; explains the relation of simulation with Cyber-Physical Systems and the Internet of Things, and describes a simulation infrastructure for complex adaptive systems; investigates how simulation is used in the Software Design Life Cycle to assess complex solutions, and examines the use of simulation in architectural design; reviews the function and purpose of simulation within the context of the scientific method, and its contribution to healthcare and health education training; discusses the position of simulation in research in the social sciences, and describes the simulation of service systems for simulation-based enterprise management; describes the role of simulation in learning and education, as well as in in military training. With its near-exhaustive coverage of disciplines, this comprehensive collection is essential reading for all researchers, practitioners and students seeking insights into the use of various modeling paradigms and the need for robust simulation infrastructure to advance their field into a computational future.

Knowledge Based Simulation

Author: Paul A. Fishwick
Publisher: Springer Science & Business Media
ISBN: 1461230403
Size: 40.58 MB
Format: PDF, ePub, Mobi
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Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.

Current Issues In Computer Simulation

Author: Nabil R. Adam
Publisher: Academic Press
ISBN: 1483258033
Size: 10.45 MB
Format: PDF
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Current Issues in Computer Simulation is a collection of papers dealing with computer simulation languages, statistical aspects of simulation, linkage with optimization and analytical models, as well as theory and application of simulation methodology. Some papers explain the General Purpose Simulation System (GPSS), a programming package incorporating a language to simulate discrete systems; and the SIMSCRIPT, a general-purpose simulation language using English commands, for example, FORTRAN. Another simulation language is the General Activity Simulation Program (GASP), providing for an organizational structure to build models to simulate the dynamic performance of systems on a digital computer. Other papers discuss simulation models of real systems, including corporate simulation models, multistage consumer choice process, determination of maximum occupancy for hospital facilities, and the juvenile court system. Many computer simulations are statistical sampling experiments performed on a model of the system under investigation. Other papers discuss some of the variables involved in the statistical design and analysis of simulation experiments such as variance reduction techniques, generation of random variates, and experimental layout. For example, one application simulates inventory systems when many items are stocked in various locations. The collection is suitable for programmers, computer engineers, businessmen, hospital administrators, schools officials, and depositories of huge volumes of information or data.