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Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Language: English
Published by Cambridge University Press, 2015
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Language: English
Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Published by Cambridge University Press CUP, 2015
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Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Condition: New. A mathematically rigorous guide to convex optimization for power systems engineering. Num Pages: 209 pages, 31 b/w illus. 3 tables 43 exercises. BIC Classification: THR; TJFM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 173 x 15. Weight in Grams: 578. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.
Language: English
Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Condition: New. A mathematically rigorous guide to convex optimization for power systems engineering. Num Pages: 209 pages, 31 b/w illus. 3 tables 43 exercises. BIC Classification: THR; TJFM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 173 x 15. Weight in Grams: 578. . 2015. 1st Edition. Hardcover. . . . .
Language: English
Published by Cambridge University Press, Cambridge, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Hardcover. Condition: new. Hardcover. Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control. This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Cambridge University Press, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Published by Cambridge University Press, Cambridge, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Hardcover. Condition: new. Hardcover. Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control. This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2019
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers .
Language: English
Published by Cambridge University Press, Cambridge, 2015
ISBN 10: 1107076870 ISBN 13: 9781107076877
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Hardcover. Condition: new. Hardcover. Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control. This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.