Resilience engineering models and analysis
Machine generated contents note: 1. Introduction; 2. Infrastructure systems; 3. Disruptions; 4. Graph and networks; 5. Big data and resilience engineering; 6. Graphical models; 7. Tensors applications; 8. Resilience index; 9. Geologic carbon dioxide sequestration and storage; 10. Epilogue.
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
New York, NY
Cambridge University Press
2016
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| Schlagworte: | |
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Tag hinzufügen | Zusammenfassung: | Machine generated contents note: 1. Introduction; 2. Infrastructure systems; 3. Disruptions; 4. Graph and networks; 5. Big data and resilience engineering; 6. Graphical models; 7. Tensors applications; 8. Resilience index; 9. Geologic carbon dioxide sequestration and storage; 10. Epilogue. "Resilience Engineering: Models and Analysis was written for readers who have backgrounds in probability. It is suitable for practicing engineers, analysts, and researchers. The text presents a general examination of resilience analyses as applied to infrastructure and energy systems at a 'system of systems' level. The book offers a balanced mix of background, theory, and applications tailored for practitioners, along with examples to illustrate key computational algorithms, end-of-chapter exercises and references, and case studies"-- "Resilience Engineering: Models and Analysis was written for readers who have backgrounds in probability. It is suitable for practicing engineers, analysts, and researchers. The text presents a general look on resilience analyses as applied to infrastructure and energy systems at a "system of systems" level"-- "Resilience Engineering: Models and Analysis was written for readers who have backgrounds in probability. It is suitable for practicing engineers, analysts, and researchers. The text presents a general examination of resilience analyses as applied to infrastructure and energy systems at a 'system of systems' level. The book offers a balanced mix of background, theory, and applications tailored for practitioners, along with examples to illustrate key computational algorithms, end-of-chapter exercises and references, and case studies"-- |
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| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xiii, 159 Seiten Diagramme |
| ISBN: | 9780521193498 978-0-521-19349-8 |