Systems analysis and modeling a macro to micro approach with multidisciplinary applications

This book 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 s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Boyd, Donald W. 1930- ((Donald William))
Συγγραφή απο Οργανισμό/Αρχή: ScienceDirect (Online service)
Μορφή: Ηλεκτρονική πηγή Βιβλίο
Γλώσσα:English
Έκδοση: San Diego, CA Academic Press c2001
Θέματα:
Διαθέσιμο Online:An electronic book accessible through the World Wide Web; click for information
An electronic book accessible through the World Wide Web; click for information
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504 |a Περιέχει βιβλιογραφικές παραπομπές (σ. 347-350) and index 
505 1 |a 1. Introduction to Analysis and Modeling -- 2. Systems Modeling Principles -- 3. Population Model: Calibration and Validation -- 4. Modeling with Dynamic Forms -- 5. Small Arms Exterior Ballistics Model -- 6. Inventory Systems Models: Shaping Dynamic Response -- 7. Modeling Corporate Assets -- 8. Stochastic Analysis -- 9. Work Physiology Model -- 10. Macro Model of Blue Glacier -- 11. State Water Planning Model -- 12. Prototyping a Forest Systems Model -- 13. Applications Unlimited -- References -- Glossary -- Index 
520 |a This book 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 
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