05417nam 2200661 450 991082119280332120230829010226.00-470-03089-50-470-03090-9(CKB)3710000000230165(EBL)1779304(SSID)ssj0001333382(PQKBManifestationID)12501597(PQKBTitleCode)TC0001333382(PQKBWorkID)11385962(PQKB)10078941(MiAaPQ)EBC1779304(Au-PeEL)EBL1779304(CaPaEBR)ebr10927727(CaONFJC)MIL642295(OCoLC)890441638(EXLCZ)99371000000023016520140918h20062006 uy 0engur|n|---|||||txtccrModeling and simulation the computer science of illusion /Stanislaw RaczynskiHertfordshire, England ;Chichester, England :John Wiley & Sons, Ltd :Research Studies Press Limited,2006.©20061 online resource (238 p.)RSP Series in Computer Simulation and ModelingDescription based upon print version of record.0-470-03017-8 1-322-11044-1 Includes bibliographical references and index.Modeling and Simulation: The Computer Science of Illusion; Copyright; Contents; Editorial Foreword; Preface; Chapter 1 Basic Concepts and Tools; 1.1 Modeling and Simulation: What is It?; 1.2 Validity, Credibility, Tractability, and Verification; 1.3 System State and Causal Systems; 1.4 Classification of Dynamical Systems; 1.5 Discrete and Continuous Simulation; 1.6 Evolution of Simulation Software; 1.6.1 Control and Simulation Language (CSL); 1.6.2 Strategies of Discrete Event Execution; 1.6.3 GPSS; 1.6.4 SIMULA67; 1.6.5 Dynamo and System Dynamics Software; 1.6.6 SPICE1.6.7 DEVS: Discrete Event System Specification1.6.8 DYMOLA; 1.6.9 Chronology of M&S Software Development; 1.6.10 Distributed Simulation; 1.6.11 High Level Architecture (HLA); Chapter 2 Continuous Simulation; 2.1 Introduction; 2.2 Ordinary Differential Equations and Models of Concentrated Parameter Systems; 2.3 Continuous Simulation with Analog Computers; 2.4 Numerical Methods for Ordinary Differential Equations (ODE); 2.4.1 Runge-Kutta Methods; 2.4.2 Richardson Approximations; 2.4.3 Predictor-Corrector Methods; 2.4.4 Stiff Equations; 2.4.5 Example of Continuous Simulation Using ODEs2.5 Signal Flow Graphs2.6 Bond Graphs; 2.7 Alternative Modeling Tools and Dynamic Uncertainty; 2.8 Distributed Parameter Systems; 2.9 System Dynamics; 2.10 Galactic Simulations and The N-Body Problem; Chapter 3 Discrete and Combined Simulation - Example of PASION Implementation; 3.1 Are Discrete Models Valid?; 3.1.1 The Discrete Time and Discrete Events; 3.1.2 Semidiscrete Events; 3.2 PASION - PSM++ Simulation System; 3.2.1 PASION - PSM++ Summary; 3.2.2 Getting Started; 3.2.3 Processes and Events; 3.2.4 Permanently Active Processes; 3.2.5 State and Conditional Events3.2.6 PASION Code Generators3.3 Queuing Model Generator (QMG); 3.3.1 QMG Blocks; 3.3.2 Example of a QMG Model; 3.3.3 The SVOP Procedure; 3.3.4 PASION Animators; 3.3.5 Another QMG Example: Manufacturing System Model; 3.4 Complex System Simulator of PASION; 3.4.1 What is Complexity?; 3.4.2 CSS Module of PASION System; 3.4.3 Model Coupling; 3.4.4 Example; Chapter 4 Differential Inclusions in Modeling and Simulation; 4.1 Differential Inclusions; 4.2 Possible Applications; 4.3 Differential Inclusion Solver (DIS); 4.4 Application in Uncertainty Treatment4.5 Uncertain Future and Differential Inclusions4.6 Conclusions and Future Research; Chapter 5 Fluid Dynamics - Simulating Oscillating Gas Flow; 5.1 Computational Fluid Dynamics; 5.2 Numerical Problems; 5.3 The Simulation Tool; 5.4 Examples; 5.5 Oscillating Gas Flow; 5.6 Two-Dimensional Fluid-Dynamics Models are Invalid; 5.7 Conclusions; Chapter 6 Simulating Phenomenaof General Relativity; 6.1 Some Basic Concepts; 6.2 The Simulation Tool and Model Time; 6.3 Simulation Experiments; 6.3.1 Relativistic Orbit; 6.3.2 Light Signals; 6.3.3 3D Light Cones; 6.3.4 Time Distortion6.3.5 Approaching a Black HoleSimulation is the art of using tools - physical or conceptual models, or computer hardware and software, to attempt to create the illusion of reality. The discipline has in recent years expanded to include the modelling of systems that rely on human factors and therefore possess a large proportion of uncertainty, such as social, economic or commercial systems. These new applications make the discipline of modelling and simulation a field of dynamic growth and new research. Stanislaw Raczynski outlines the considerable and promising research that is being conducted to counter the problems of unRSP series in computer simulation and modeling.Computer simulationMathematical modelsComputer simulation.Mathematical models.003.3Raczynski Stanislaw853393MiAaPQMiAaPQMiAaPQBOOK9910821192803321Modeling and simulation3921318UNINA