Modeling and Simulation: The Computer Science of Illusion
暫譯: 建模與模擬:幻象的計算機科學
Stanislaw Raczynski
- 出版商: Wiley
- 出版日期: 2006-07-01
- 定價: $3,600
- 售價: 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
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商品描述
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
模擬是使用工具的藝術——無論是物理或概念模型,或是計算機硬體和軟體,試圖創造現實的幻覺。近年來,這一學科已擴展到包括依賴於人類因素的系統建模,因此這些系統具有較大比例的不確定性,例如社會、經濟或商業系統。這些新應用使得建模和模擬的學科成為一個動態增長和新研究的領域。
Stanislaw Raczynski 概述了為應對這些新應用所使用的方法中不確定性問題而進行的相當可觀且有前景的研究。這旨在激勵讀者尋找新的建模和模擬工具。
- 檢視最近在建模和模擬領域中接觸新應用的方法的最新研究狀態
- 介紹新的建模工具,例如微分包含、模型空間中的度量結構、半離散事件,以及在平行優化技術中使用模擬
- 討論最近開發的實用應用:例如 PASION 模擬系統、股市模擬、新的流體動力學工具、製造模擬和社會結構的模擬
- 全文附有一系列案例研究
《建模與模擬:幻覺的計算機科學》將吸引學術界、研究生、研究人員以及工業計算機系統的建模和模擬實踐者。對於那些將模擬作為輔助工具的人來說,這本書也將引起興趣。
目錄
編輯前言。
前言。
第一章 基本概念與工具。
1.1. 建模與模擬:這是什麼?
1.2. 有效性、可信性、可處理性與驗證。
1.3. 系統狀態與因果系統。
1.4. 動態系統的分類。
1.5. 離散與連續模擬。
1.6. 模擬軟體的演變。
第二章 連續模擬。
2.1. 介紹。
2.2. 常微分方程與集中參數系統的模型。
2.3. 使用類比計算機的連續模擬。
2.4. 常微分方程 (ODE) 的數值方法。
2.5. 信號流圖。
2.6. 鍵圖。
2.7. 替代建模工具與動態不確定性。
2.8. 分佈參數系統。
2.9. 系統動力學。
2.10. 銀河模擬與 N 體問題。
第三章 離散與綜合模擬——PACION 實施的例子。
3.1. 離散模型有效嗎?
3.2. PASION 模擬系統。
3.3. 排隊模型生成器 QMG。
3.4. PASION 的複雜系統模擬器。
第四章 建模與模擬中的微分包含。
4.1. 微分包含。
4.2. 可能的應用。
4.3. 微分包含求解器。
4.4. 在不確定性處理中的應用。
4.5. 不確定的未來與微分包含。
4.6. 結論與未來研究。
第五章 流體動力學——模擬振盪氣流。
5.1. 計算流體動力學。
5.2. 數值問題。
5.3. 模擬工具。
5.4. 例子。
5.5. 振盪氣流。
5.6. 二維流體動力學模型無效。
5.7. 結論。
第六章 模擬廣義相對論的現象。
6.1. 一些基本概念。
6.3. 模擬工具與模型時間。
6.4. 模擬實驗。
第七章 敵對層級結構之間的互動:恐怖組織與反恐組織之間鬥爭的模擬。
7.1. 介紹。
7.2. 模型。
7.3. 結構。
7.4. 工具與模型實施。
7.5. 模擬實驗。
7.6. 結論。
第八章 動態系統模型空間中的度量結構。
8.1. DEVS。
8.2. 定義。
8.3. 模型之間的距離。
8.4. 例子。
8.5. 結論。
第九章 模擬優化:平行優化算法的案例研究。
9.1. 介紹。
9.2. 問題陳述。
9.3. 模擬實驗。
9.4. 結論。
參考文獻。
索引。