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Handbook of real-world applications in modeling and simulation / edited by John A. Sokolowski, Catherine M. Banks.

Contributor(s): Material type: TextTextSeries: Wiley handbooks in operations research and management sciencePublication details: Hoboken : John Wiley & Sons, 2012.Description: 1 online resource (459 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118241042
  • 1118241045
  • 9781118241295
  • 1118241290
  • 1118117778
  • 9781118117774
Subject(s): Genre/Form: Additional physical formats: Print version:: Handbook of Real-World Applications in Modeling and Simulation.DDC classification:
  • 003
LOC classification:
  • Q295 .S677 2012
Other classification:
  • MAT000000
  • 30.10
  • 54.79
Online resources:
Contents:
Cover; Title Page; Copyright; Dedication; Contributors; Preface; Introduction; Contemplating a National Strategy for Modeling and Simulation; Chapter One: Research and Analysis for Real-World Applications; 1.1 Introduction and Learning Objectives; 1.2 Background; 1.3 M & S Theory and Toolbox; 1.4 Research and Analysis Methodologies; Summary; Key Terms; References; Chapter Two: Human Behavior Modeling: A Real-World Application; 2.1 Introduction and Learning Objectives; 2.2 Background and Theory; Key Terms; Appendix: A Decision Scenario and Associated Data; References.
Chapter Three: Transportation3.1 Introduction and Learning Objectives; 3.2 Background; 3.3 Theory; 3.4 Transportation Modeling Applications; Summary; Key Terms; References; Chapter Four: Homeland Security Risk Modeling; 4.1 Introduction and Learning Objectives; 4.2 Background; 4.3 Theory and Applications in Risk Modeling; 4.4 Elements of a Study Plan; Modeling Paradigms; Summary; Key Terms; Chapter Five: Operations Research; 5.1 Introduction and Learning Objectives; 5.2 Background; 5.3 Theory; 5.4 Modeling Paradigms; Summary; Key Terms; References; Chapter Six: Business Process Modeling.
6.1 Introduction and Learning Objectives6.2 Background; 6.3 Discrete-Event Simulation; 6.4 Discrete-Event Simulation Case Study; 6.5 System Dynamics Simulation; 6.6 Monte Carlo Simulation; Summary; Key Terms; References; Chapter Seven: A Review of Mesh Generation for Medical Simulators; 7.1 Introduction and Learning Objectives; 7.2 Background--A Survey of Relevant Biomechanics and Open-Source Software; 7.3 Theory--The Impact of Element Quality and Size on Simulation; 7.4 Modeling Paradigms--Methods for Mesh Generation; Summary; Key Terms; Mechanics; Medical Simulation; Meshing.
Unstructured Surface MeshingUnstructured Tetrahedral Meshing; Acknowledgments; References; Chapter Eight: Military Interoperability Challenges; 8.1 Introduction and Learning Objectives; 8.2 Background; 8.3 Theory; 8.4 Live Virtual Constructive; 8.5 LVC Examples; 8.6 Distributed Simulation Engineering and Execution Process (DSEEP); 8.7 LVC Architecture Framework (LVCAF); 8.8 Simulation Systems; Summary; Key Terms; References; Index.
Summary: This handbook provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas, such as transportation, homeland security, medicine, operational research, military science, and business modeling. The authors offer a concise look at the key concepts and techniques of modeling and simulation and then discuss how and why the presented domains have become leading applications. The book begins with an introduction of why modeling and simulation is a reliable analysis assessment tool for complex syste.
List(s) this item appears in: Sofware Engineering & Computer Science
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Cover; Title Page; Copyright; Dedication; Contributors; Preface; Introduction; Contemplating a National Strategy for Modeling and Simulation; Chapter One: Research and Analysis for Real-World Applications; 1.1 Introduction and Learning Objectives; 1.2 Background; 1.3 M & S Theory and Toolbox; 1.4 Research and Analysis Methodologies; Summary; Key Terms; References; Chapter Two: Human Behavior Modeling: A Real-World Application; 2.1 Introduction and Learning Objectives; 2.2 Background and Theory; Key Terms; Appendix: A Decision Scenario and Associated Data; References.

Chapter Three: Transportation3.1 Introduction and Learning Objectives; 3.2 Background; 3.3 Theory; 3.4 Transportation Modeling Applications; Summary; Key Terms; References; Chapter Four: Homeland Security Risk Modeling; 4.1 Introduction and Learning Objectives; 4.2 Background; 4.3 Theory and Applications in Risk Modeling; 4.4 Elements of a Study Plan; Modeling Paradigms; Summary; Key Terms; Chapter Five: Operations Research; 5.1 Introduction and Learning Objectives; 5.2 Background; 5.3 Theory; 5.4 Modeling Paradigms; Summary; Key Terms; References; Chapter Six: Business Process Modeling.

6.1 Introduction and Learning Objectives6.2 Background; 6.3 Discrete-Event Simulation; 6.4 Discrete-Event Simulation Case Study; 6.5 System Dynamics Simulation; 6.6 Monte Carlo Simulation; Summary; Key Terms; References; Chapter Seven: A Review of Mesh Generation for Medical Simulators; 7.1 Introduction and Learning Objectives; 7.2 Background--A Survey of Relevant Biomechanics and Open-Source Software; 7.3 Theory--The Impact of Element Quality and Size on Simulation; 7.4 Modeling Paradigms--Methods for Mesh Generation; Summary; Key Terms; Mechanics; Medical Simulation; Meshing.

Unstructured Surface MeshingUnstructured Tetrahedral Meshing; Acknowledgments; References; Chapter Eight: Military Interoperability Challenges; 8.1 Introduction and Learning Objectives; 8.2 Background; 8.3 Theory; 8.4 Live Virtual Constructive; 8.5 LVC Examples; 8.6 Distributed Simulation Engineering and Execution Process (DSEEP); 8.7 LVC Architecture Framework (LVCAF); 8.8 Simulation Systems; Summary; Key Terms; References; Index.

This handbook provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas, such as transportation, homeland security, medicine, operational research, military science, and business modeling. The authors offer a concise look at the key concepts and techniques of modeling and simulation and then discuss how and why the presented domains have become leading applications. The book begins with an introduction of why modeling and simulation is a reliable analysis assessment tool for complex syste.

Print version record.

Includes bibliographical references and index.

Computer Science and Engineering