Systems Analysis and Modeling (ePub)
A Macro-to-Micro Approach with Multidisciplinary Applications
(Sprache: Englisch)
Systems Analysis and Modeling presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking. After introducing systems modeling principles, the ensuing wide selection of examples aptly...
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Systems Analysis and Modeling presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking. After introducing systems modeling principles, the ensuing wide selection of examples aptly illustrate that anything which changes over time can be modeled as a system. Each example begins with a knowledge base that displays relevant information obtained from systems analysis. The diversity of examples clearly establishes a new protocol for synthesizing systems models.
- Macro-to-micro, top-down approach
- Multidisciplinary examples
- Incorporation of human knowledge to synthesise a systems model
- Clear and concise systems delimitation
- Complex systems using simple mathematics
- "Exact" reproduction of historical data plus model generated secondary data
- Systems simulation via systems models
Autoren-Porträt von Donald W. Boyd
Donald W. Boyd holds B.S. and M.S. degrees in electrical engineering, a B.S. degree in mathematics, and a Ph.D. in agricultural economics from Montana State University.
Bibliographische Angaben
- Autor: Donald W. Boyd
- 2000, 365 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0080518397
- ISBN-13: 9780080518398
- Erscheinungsdatum: 19.10.2000
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 7.54 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
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Pressezitat
"This textbook for a senior engineering or graduate course presents the macro-to-micro approach to systems analysis and modeling. Boyd (Montana State University) demonstrates the method through examples of deterministic models drawn from physics, numerical methods, ballistics, inventory theory, and corporate strategy, followed by examples of stochastic modeling from ergonomics, glaciology, water resources planning, forestry, manufacturing processes, time series, and operations research." --Book News, Inc.®, Portland, OR
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