Flow networks: analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
2013
|
| Ausgabe: | First edition |
| Schriftenreihe: | Elsevier insights
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes bibliographical references (pages 243-247) Repairable flow networks are a new area of research, which analyzes the repair and flow disruption caused by failures of components in static flow networks. This book addresses a gap in current network research by developing the theory, algorithms and applications related to repairable flow networks and networks with disturbed flows. The theoretical results presented in the book lay the foundations of a new generation of ultra-fast algorithms for optimizing the flow in networks after failures or congestion, and the high computational speed creates the powerful possibility of optimal control of very large and complex networks in real time. Furthermore, the possibility for re-optimizing the network flows in real time increases significantly the yield from real production networks and reduces to a minimum the flow disruption caused by failures. The potential application of repairable flow networks reaches across many large and complex systems, including active power networks, telecommunication networks, oil and gas production networks, transportation networks, water supply networks, emergency evacuation networks, and supply networks. The book reveals a fundamental flaw in classical algorithms for maximising the throughput flow in networks, published since the creation of the theory of flow networks in 1956. Despite the years of intensive research, the classical algorithms for maximising the throughput flow leave highly undesirable directed loops of flow in the optimised networks. These flow loops are associated with wastage of energy and resources and increased levels of congestion in the optimised networks. Includes theory and practical examples to build a deep understanding of the issuesWritten by the leading scholar and researcher in this emerging fieldFeatures powerful software tools for analysis, optimization and control of repairable flow networks |
| Beschreibung: | 1 Online-Ressource (xviii, 247 pages) |
| ISBN: | 9780123984067 0123984068 9780123983961 0123983967 |
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| 245 | 1 | 0 | |a Flow networks |b analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks |c Michael T. Todinov, Oxford Brookes University, Oxford, UK. |
| 250 | |a First edition | ||
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| 500 | |a Repairable flow networks are a new area of research, which analyzes the repair and flow disruption caused by failures of components in static flow networks. This book addresses a gap in current network research by developing the theory, algorithms and applications related to repairable flow networks and networks with disturbed flows. The theoretical results presented in the book lay the foundations of a new generation of ultra-fast algorithms for optimizing the flow in networks after failures or congestion, and the high computational speed creates the powerful possibility of optimal control of very large and complex networks in real time. Furthermore, the possibility for re-optimizing the network flows in real time increases significantly the yield from real production networks and reduces to a minimum the flow disruption caused by failures. The potential application of repairable flow networks reaches across many large and complex systems, including active power networks, telecommunication networks, oil and gas production networks, transportation networks, water supply networks, emergency evacuation networks, and supply networks. The book reveals a fundamental flaw in classical algorithms for maximising the throughput flow in networks, published since the creation of the theory of flow networks in 1956. Despite the years of intensive research, the classical algorithms for maximising the throughput flow leave highly undesirable directed loops of flow in the optimised networks. These flow loops are associated with wastage of energy and resources and increased levels of congestion in the optimised networks. Includes theory and practical examples to build a deep understanding of the issuesWritten by the leading scholar and researcher in this emerging fieldFeatures powerful software tools for analysis, optimization and control of repairable flow networks | ||
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Datensatz im Suchindex
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| author | Todinov, Michael |
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| author_facet | Todinov, Michael |
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| author_sort | Todinov, Michael |
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| building | Verbundindex |
| bvnumber | BV042315117 |
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| ctrlnum | (OCoLC)828740121 (DE-599)BVBBV042315117 |
| dewey-full | 621 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621 |
| dewey-search | 621 |
| dewey-sort | 3621 |
| dewey-tens | 620 - Engineering and allied operations |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV042315117 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:18:12Z |
| institution | BVB |
| isbn | 9780123984067 0123984068 9780123983961 0123983967 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027752108 |
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| physical | 1 Online-Ressource (xviii, 247 pages) |
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| publishDate | 2013 |
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| spelling | Todinov, Michael Verfasser (DE-588)1191287424 aut Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks Michael T. Todinov, Oxford Brookes University, Oxford, UK. First edition Amsterdam Elsevier 2013 1 Online-Ressource (xviii, 247 pages) txt rdacontent c rdamedia cr rdacarrier Elsevier insights Includes bibliographical references (pages 243-247) Repairable flow networks are a new area of research, which analyzes the repair and flow disruption caused by failures of components in static flow networks. This book addresses a gap in current network research by developing the theory, algorithms and applications related to repairable flow networks and networks with disturbed flows. The theoretical results presented in the book lay the foundations of a new generation of ultra-fast algorithms for optimizing the flow in networks after failures or congestion, and the high computational speed creates the powerful possibility of optimal control of very large and complex networks in real time. Furthermore, the possibility for re-optimizing the network flows in real time increases significantly the yield from real production networks and reduces to a minimum the flow disruption caused by failures. The potential application of repairable flow networks reaches across many large and complex systems, including active power networks, telecommunication networks, oil and gas production networks, transportation networks, water supply networks, emergency evacuation networks, and supply networks. The book reveals a fundamental flaw in classical algorithms for maximising the throughput flow in networks, published since the creation of the theory of flow networks in 1956. Despite the years of intensive research, the classical algorithms for maximising the throughput flow leave highly undesirable directed loops of flow in the optimised networks. These flow loops are associated with wastage of energy and resources and increased levels of congestion in the optimised networks. Includes theory and practical examples to build a deep understanding of the issuesWritten by the leading scholar and researcher in this emerging fieldFeatures powerful software tools for analysis, optimization and control of repairable flow networks TECHNOLOGY & ENGINEERING / Mechanical bisacsh Network analysis (Planning) fast Programming (Mathematics) fast Network analysis (Planning) Programming (Mathematics) http://www.sciencedirect.com/science/book/9780123983961 Verlag Volltext |
| spellingShingle | Todinov, Michael Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks TECHNOLOGY & ENGINEERING / Mechanical bisacsh Network analysis (Planning) fast Programming (Mathematics) fast Network analysis (Planning) Programming (Mathematics) |
| title | Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks |
| title_auth | Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks |
| title_exact_search | Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks |
| title_full | Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks Michael T. Todinov, Oxford Brookes University, Oxford, UK. |
| title_fullStr | Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks Michael T. Todinov, Oxford Brookes University, Oxford, UK. |
| title_full_unstemmed | Flow networks analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks Michael T. Todinov, Oxford Brookes University, Oxford, UK. |
| title_short | Flow networks |
| title_sort | flow networks analysis and optimization of repairable flow networks networks with disturbed flows static flow networks and reliability networks |
| title_sub | analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks |
| topic | TECHNOLOGY & ENGINEERING / Mechanical bisacsh Network analysis (Planning) fast Programming (Mathematics) fast Network analysis (Planning) Programming (Mathematics) |
| topic_facet | TECHNOLOGY & ENGINEERING / Mechanical Network analysis (Planning) Programming (Mathematics) |
| url | http://www.sciencedirect.com/science/book/9780123983961 |
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