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Sinopsis
In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around? Can mathematics help as well? This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers? - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions? - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment? - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly.
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Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. In online optimization the main issue is: incomplete data; and the scientific challenge: How well can an online algorithm perform? Can one guarantee solution quality, even without knowing all data in advance? In real-time optimization there is an additional requirement, decisions have to be computed very fast, fast in relation to the time frame of the instance we consider. Online and real-time optimization problems occur in all branches of optimization: linear, nonlinear, integer, stochastic. These areas have developed their own techniques but they are addressing the same issues: quality, stability, and robustness of the solutions. To fertilize this emerging topic of optimization theory and to foster cooperation between the different branches of optimization, the Deutsche Forschungsgemeinschaft (DFG) has supported a Priority Programme "Online Optimization of Large Systems". This volume contains "background articles" and "research articles". Background articles are intended to give an overview over the basic theory in the respective area and are accessible to graduate math students. Research articles summarize the progress in a project achieved in the Priority Programme.
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Online Optimization of Large Scale Systems
Librería: suspiratio - online bücherstube, Basel, Suiza
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Sehr gut. geringe lagerspuren, sonst sehr gut. Nº de ref. del artículo: A-645-brded
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Online Optimization of Large Scale Systems
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Springer Berlin Heidelberg, 2001
ISBN 10: 3540424598
ISBN 13: 9783540424598
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Librería: moluna, Greven, Alemania
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Condición: New. Nº de ref. del artículo: 4889855
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Online Optimization of Large Scale Systems
Publicado por
Springer Berlin Heidelberg Sep 2001, 2001
ISBN 10: 3540424598
ISBN 13: 9783540424598
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around Can mathematics help as well This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly. 820 pp. Englisch. Nº de ref. del artículo: 9783540424598
Cantidad disponible: 2 disponibles
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Online Optimization of Large Scale Systems
Publicado por
Springer Berlin Heidelberg, 2001
ISBN 10: 3540424598
ISBN 13: 9783540424598
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around Can mathematics help as well This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly. Nº de ref. del artículo: 9783540424598
Cantidad disponible: 1 disponibles
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Online Optimization of Large Scale Systems
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783540424598_new
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Online Optimization of Large Scale Systems
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9783540424598
Cantidad disponible: Más de 20 disponibles
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Online Optimization of Large Scale Systems
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2001, 2001
ISBN 10: 3540424598
ISBN 13: 9783540424598
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around Can mathematics help as well This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 820 pp. Englisch. Nº de ref. del artículo: 9783540424598
Cantidad disponible: 2 disponibles
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Online Optimization of Large Scale Systems: State of the Art
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Brand New. 2001 edition. 815 pages. 9.75x6.75x1.50 inches. In Stock. Nº de ref. del artículo: x-3540424598
Cantidad disponible: 2 disponibles
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Online Optimization of Large Scale Systems
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020167100
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Online Optimization of Large Scale Systems
Librería: BennettBooksLtd, North Las Vegas, NV, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-3540424598
Cantidad disponible: 1 disponibles