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Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized—all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization.
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- EditoreKIT Scientific Publishing
- Data di pubblicazione2022
- ISBN 10 3731511800
- ISBN 13 9783731511809
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine226
- Contatto del produttorenon disponibile
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Distributed Optimization with Application to Power Systems and Control
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized-all data has to be collected in one central and computationally powerful entity. Codice articolo 762284745
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Distributed Optimization with Application to Power Systems and Control
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Karlsruher Institut Für Technologie Nov 2022, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized-all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization. 226 pp. Englisch. Codice articolo 9783731511809
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Distributed Optimization with Application to Power Systems and Control
Editore:
Karlsruher Institut Für Technologie, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized-all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization. Codice articolo 9783731511809
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Distributed Optimization with Application to Power Systems and Control
Editore:
Karlsruher Institut Für Technologie Nov 2022, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized¿all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization.Books on Demand GmbH, Überseering 33, 22297 Hamburg 226 pp. Englisch. Codice articolo 9783731511809
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Distributed Optimization with Application to Power Systems and Control
Editore:
Karlsruher Institut für Technologie, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Distributed Optimization with Application to Power Systems and Control | Alexander Engelmann | Taschenbuch | Englisch | 2022 | Karlsruher Institut für Technologie | EAN 9783731511809 | Verantwortliche Person für die EU: KIT Scientific Publishing, Straße am Forum 2, 76131 Karlsruhe, info[at]ksp[dot]kit[dot]edu | Anbieter: preigu. Codice articolo 125855092
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