LEADER 05417nam 2200661 450 001 9910821192803321 005 20230829010226.0 010 $a0-470-03089-5 010 $a0-470-03090-9 035 $a(CKB)3710000000230165 035 $a(EBL)1779304 035 $a(SSID)ssj0001333382 035 $a(PQKBManifestationID)12501597 035 $a(PQKBTitleCode)TC0001333382 035 $a(PQKBWorkID)11385962 035 $a(PQKB)10078941 035 $a(MiAaPQ)EBC1779304 035 $a(Au-PeEL)EBL1779304 035 $a(CaPaEBR)ebr10927727 035 $a(CaONFJC)MIL642295 035 $a(OCoLC)890441638 035 $a(EXLCZ)993710000000230165 100 $a20140918h20062006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModeling and simulation $ethe computer science of illusion /$fStanislaw Raczynski 210 1$aHertfordshire, England ;$aChichester, England :$cJohn Wiley & Sons, Ltd :$cResearch Studies Press Limited,$d2006. 210 4$dİ2006 215 $a1 online resource (238 p.) 225 1 $aRSP Series in Computer Simulation and Modeling 300 $aDescription based upon print version of record. 311 $a0-470-03017-8 311 $a1-322-11044-1 320 $aIncludes bibliographical references and index. 327 $aModeling 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 SPICE 327 $a1.6.7 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 ODEs 327 $a2.5 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 Events 327 $a3.2.6 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 Treatment 327 $a4.5 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 Distortion 327 $a6.3.5 Approaching a Black Hole 330 $aSimulation is the art of using tools - physical or conceptual models, or computer hardware and software, to attempt to create the illusion of reality. The discipline has in recent years expanded to include the modelling of systems that rely on human factors and therefore possess a large proportion of uncertainty, such as social, economic or commercial systems. These new applications make the discipline of modelling and simulation a field of dynamic growth and new research. Stanislaw Raczynski outlines the considerable and promising research that is being conducted to counter the problems of un 410 0$aRSP series in computer simulation and modeling. 606 $aComputer simulation 606 $aMathematical models 615 0$aComputer simulation. 615 0$aMathematical models. 676 $a003.3 700 $aRaczynski$b Stanislaw$0853393 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821192803321 996 $aModeling and simulation$93921318 997 $aUNINA