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Softcover. 284 S. Ex-library with stamp and library-signature in good condition, some traces of use. C-00533 9783662484081 Sprache: Englisch Gewicht in Gramm: 550.
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Chaos Detection and Predictability (Lecture Notes in Physics, 915)
Book 142 of 241: Lecture Notes in PhysicsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.48
US$ 15.67 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Paperback. Condition: New.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.71
US$ 19.63 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Paperback. Condition: Brand New. 269 pages. 9.50x6.50x0.75 inches. In Stock.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsPublished by Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2016, 2016
ISBN 10: 3662484080 ISBN 13: 9783662484081
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Distinguishing chaoticity from regularity in deterministic dynamical systems and specifying the subspace of the phase space in which instabilities are expected to occur is of utmost importance in as disparate areas as astronomy, particle physics and climate dynamics.To address these issues there exists a plethora of methods for chaos detection and predictability. The most commonly employed technique for investigating chaotic dynamics, i.e. the computation of Lyapunov exponents, however, may suffer a number of problems and drawbacks, for example when applied to noisy experimental data.In the last two decades, several novel methods have been developed for the fast and reliable determination of the regular or chaotic nature of orbits, aimed at overcoming the shortcomings of more traditional techniques. This set of lecture notes and tutorial reviews serves as an introduction to and overview of modern chaos detection and predictability techniquesfor graduate students and non-specialists.The book covers theoretical and computational aspects of traditional methods to calculate Lyapunov exponents, as well as of modern techniques like the Fast (FLI), the Orthogonal (OFLI) and the Relative (RLI) Lyapunov Indicators, the Mean Exponential Growth factor of Nearby Orbits (MEGNO), the Smaller (SALI) and the Generalized (GALI) Alignment Index and the ¿0-1¿ test for chaos.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsPublished by Springer Berlin Heidelberg, 2016
ISBN 10: 3662484080 ISBN 13: 9783662484081
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Distinguishing chaoticity from regularity in deterministic dynamical systems and specifying the subspace of the phase space in which instabilities are expected to occur is of utmost importance in as disparate areas as astronomy, particle physics and climate dynamics. To address these issues there exists a plethora of methods for chaos detection and predictability. The most commonly employed technique for investigating chaotic dynamics, i.e. the computation of Lyapunov exponents, however, may suffer a number of problems and drawbacks, for example when applied to noisy experimental data. In the last two decades, several novel methods have been developed for the fast and reliable determination of the regular or chaotic nature of orbits, aimed at overcoming the shortcomings of more traditional techniques. This set of lecture notes and tutorial reviews serves as an introduction to and overview of modern chaos detection and predictability techniquesfor graduate students and non-specialists. The book covers theoretical and computational aspects of traditional methods to calculate Lyapunov exponents, as well as of modern techniques like the Fast (FLI), the Orthogonal (OFLI) and the Relative (RLI) Lyapunov Indicators, the Mean Exponential Growth factor of Nearby Orbits (MEGNO), the Smaller (SALI) and the Generalized (GALI) Alignment Index and the '0-1' test for chaos.
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Taschenbuch. Condition: Neu. Chaos Detection and Predictability | Charalampos Skokos (u. a.) | Taschenbuch | xi | Englisch | 2016 | Springer | EAN 9783662484081 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsPublished by Springer Berlin Heidelberg, 2016
ISBN 10: 3662484080 ISBN 13: 9783662484081
Language: English
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsPublished by Springer Berlin Heidelberg, 2016
ISBN 10: 3662484080 ISBN 13: 9783662484081
Language: English
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 153.62
US$ 19.63 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Condition: new. Questo è un articolo print on demand.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsPublished by Springer Berlin Heidelberg Mrz 2016, 2016
ISBN 10: 3662484080 ISBN 13: 9783662484081
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Distinguishing chaoticity from regularity in deterministic dynamical systems and specifying the subspace of the phase space in which instabilities are expected to occur is of utmost importance in as disparate areas as astronomy, particle physics and climate dynamics. To address these issues there exists a plethora of methods for chaos detection and predictability. The most commonly employed technique for investigating chaotic dynamics, i.e. the computation of Lyapunov exponents, however, may suffer a number of problems and drawbacks, for example when applied to noisy experimental data. In the last two decades, several novel methods have been developed for the fast and reliable determination of the regular or chaotic nature of orbits, aimed at overcoming the shortcomings of more traditional techniques. This set of lecture notes and tutorial reviews serves as an introduction to and overview of modern chaos detection and predictability techniques for graduate students and non-specialists. The book covers theoretical and computational aspects of traditional methods to calculate Lyapunov exponents, as well as of modern techniques like the Fast (FLI), the Orthogonal (OFLI) and the Relative (RLI) Lyapunov Indicators, the Mean Exponential Growth factor of Nearby Orbits (MEGNO), the Smaller (SALI) and the Generalized (GALI) Alignment Index and the '0-1' test for chaos. 284 pp. Englisch.
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Chaos Detection and Predictability
Book 142 of 241: Lecture Notes in PhysicsPublished by Springer Berlin Heidelberg, 2016
ISBN 10: 3662484080 ISBN 13: 9783662484081
Language: English
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Edited and authored by pioneers in the field Comprehensive and self-contained introduction and overview Useful as text for advanced courses and for self-studyEdited and authored by pioneers in the fieldComprehensive and se.
