Sven o krumke (28 risultati)

Hardcover. Condizione: Sehr gut. XII, 801 S.; Ill. Very good. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 1405.

8°, kart. Condizione: Sehr gut. 1. Aufl. X, 407 S. : graph. Darst. ; 24 cm Ausgetragenes Bibliotheksexemplar mit den üblichen Kennzeichnungen und Lagerungs- bzw. Gebrauchsspuren. Ecken leicht bestoßen, Kanten berieben. Insgesamt in gutem Zustand. B15-01-06X Sprache: Deutsch Gewicht in Gramm: 720.

Condizione: New.

Condizione: New.

Gebunden. Condizione: New.

Condizione: New. In English.

Condizione: New. In English.

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Condizione: Neu. Online Optimization of Large Scale Systems | Martin Grötschel (u. a.) | Taschenbuch | xii | Englisch | 2010 | Springer Berlin Heidelberg | EAN 9783642076336 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condizione: 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.…

Buch. Condizione: 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.…

Condizione: New. pp. 816.

Condizione: New. pp. 820.

Hardcover. Condizione: Brand New. 2001 edition. 815 pages. 9.75x6.75x1.50 inches. In Stock.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: gut. 2001. Online Optimization of Large Scale Systems In deutscher Sprache. pages.

Hardcover. Condizione: Sehr gut. geringe lagerspuren, sonst sehr gut Lager a-987.

Condizione: gut. 2005. Graphentheoretische Konzepte und Algorithmen Sven Oliver Krumke ; Hartmut Noltemeier / Leitfäden der Informatik; Lehrbuch : Informatik In deutscher Sprache. pages.

Taschenbuch. Condizione: 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. 816 pp. Englisch.…

Buch. Condizione: 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.…

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 820 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 816 pp. Englisch.…

Condizione: New. Print on Demand pp. 816 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condizione: New. Print on Demand pp. 820 Illus.

Condizione: New. PRINT ON DEMAND pp. 816.

Condizione: New. PRINT ON DEMAND pp. 820.