Sinopsis
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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Distributed Optimization with Application to Power Systems and Control
Publicado por
Karlsruher Institut Für Technologie Nov 2022, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783731511809
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Distributed Optimization with Application to Power Systems and Control
Publicado por
KIT Scientific Publishing, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
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Librería: moluna, Greven, Alemania
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Condición: 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. Nº de ref. del artículo: 762284745
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Distributed Optimization with Application to Power Systems and Control
Publicado por
Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Nov 2022, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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. Nº de ref. del artículo: 9783731511809
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EUR 43,00
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Imagen del vendedor
Distributed Optimization with Application to Power Systems and Control
Publicado por
Karlsruher Institut Für Technologie, 2022
ISBN 10: 3731511800
ISBN 13: 9783731511809
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783731511809
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EUR 43,00
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