Modeling and Simulation: The Computer Science of Illusion

Stanislaw Raczynski

Modeling and Simulation: The Computer Science of Illusion
  • 出版商: Wiley
  • 出版日期: 2006-07-01
  • 售價: $3,600
  • 貴賓價: 9.5 折 $3,420
  • 語言: 英文
  • 頁數: 240
  • 裝訂: Hardcover
  • ISBN: 0470030178
  • ISBN-13: 9780470030172
  • 相關分類: Computer-Science

    • 立即出貨 (庫存=1)

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Description

Simulation 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 uncertainty surrounding the methods used to approach these new applications. It aims to stimulate the reader into seeking out new tools for modelling and simulation.

  • Examines the state-of-the-art in recent research into methods of approaching new applications in the field of modelling and simulation
  • Provides an introduction to new modelling tools such as differential inclusions, metric structures in the space of models, semi-discrete events, and use of simulation in parallel optimization techniques
  • Discusses recently developed practical applications: for example the PASION simulation system, stock market simulation, a new fluid dynamics tool, manufacturing simulation and the simulation of social structures
  • Illustrated throughout with a series of case studies

Modelling and Simulation: The Computer Science of Illusion will appeal to academics, postgraduate students, researchers and practitioners in the modelling and simulation of industrial computer systems. It will also be of interest to those using simulation as an auxiliary tool.

 

Table of 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.

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).

2.5. Signal flow graphs.

2.6. 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?.

3.2. PASION simulation system.

3.3. Queuing Model Generator QMG.

3.4. Complex system simulator of PASION.

Chapter 4. Differential inclusions in Modeling and Simulation.

4.1. Differential inclusions.

4.2. Possible applications.

4.3. Differential inclusion solver.

4.4. Application in uncertainty treatment.

4.5. Uncertain future and differential inclusions.

4.6. 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 Phenomena of General Relativity.

6.1. Some basic concepts.

6.3. The simulation tool and model time.

6.4. Simulation experiments.

Chapter 7. Interactions between hostile hierarchical structures: simulation of the struggle between terrorist and anti-terrorist organizations.

7.1. Introduction.

7.2. The model.

7.3. Structures.

7.4. The tool and the model implementation.

7.5. Simulation experiments.

7.6. Conclusions.

Chapter 8. On a metric structure in the space of dynamic system models.

8.1. DEVS.

8.2. Definitions.

8.3. Distance between models.

8.4. Examples.

8.5. Conclusions.

Chapter 9. Simulation optimization: A case study of a parallel optimization algorithm.

9.1. Introduction.

9.2. Problem statement.

9.3. Simulation experiment.

9.4. Conclusions.

References.

Index.

商品描述(中文翻譯)

描述

模擬是使用工具（物理或概念模型，或計算機硬體和軟體）來嘗試創造現實錯覺的藝術。近年來，這個領域已擴展到包括模擬依賴於人因素並因此具有大量不確定性的系統的建模，例如社會、經濟或商業系統。這些新應用使得建模和模擬成為一個充滿活力和新研究的領域。

Stanislaw Raczynski概述了正在進行的相當多且有前景的研究，以解決這些新應用方法所面臨的不確定性問題。它旨在激發讀者尋找新的建模和模擬工具。

本書檢視了近期在建模和模擬領域中應對新應用方法的研究現狀，介紹了新的建模工具，如微分包含、模型空間中的度量結構、半離散事件和模擬在並行優化技術中的應用。還討論了最近開發的實際應用，例如PASION模擬系統、股票市場模擬、新的流體力學工具、製造模擬和社會結構模擬。全書通過一系列案例研究進行了說明。

《建模和模擬：幻覺的計算機科學》將吸引學者、研究生、研究人員和工業計算機系統建模和模擬的從業人員。對於使用模擬作為輔助工具的人也會感興趣。

目錄

編者前言。

前言。

第1章 基本概念和工具。

1.1 建模和模擬：是什麼？

1.2 有效性、可信度、可處理性和驗證。

1.3 系統狀態和因果系統。

1.4 動態系統的分類。

1.5 離散和連續模擬。

1.6 模擬軟體的演進。

第2章 連續模擬。

2.1 簡介。

2.2 常微分方程和集中參數系統模型。

2.3 使用類比計算機進行連續模擬。

2.4 常微分方程（ODE）的數值方法。

2.5 信號流圖。

2.6 邊緣圖。

2.7 替代建模工具和動態不確定性。

2.8 分佈參數系統。

2.9 S

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