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Ajouter au panierXX, 254 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. LNM 2064. Stamped. Lecture notes in mathematics, 2064; Mathematical biosciences subseries. Sprache: Englisch.
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Ajouter au panierEtat : New. pp. 280.
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Ajouter au panierBrossura. Etat : fine. 2012; br., pp. 280, cm 23,5x16. Libro.
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Ajouter au panierPaperback. Etat : Brand New. 1st edition. 254 pages. 9.25x6.25x0.75 inches. In Stock.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2012, 2012
ISBN 10 : 3642328814 ISBN 13 : 9783642328817
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally. Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data.Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2012
ISBN 10 : 3642328814 ISBN 13 : 9783642328817
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally. Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data.Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited.
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Ajouter au panierTaschenbuch. Etat : Neu. Mathematical Modeling and Validation in Physiology | Applications to the Cardiovascular and Respiratory Systems | Jerry J. Batzel (u. a.) | Taschenbuch | xx | Englisch | 2012 | Springer-Verlag GmbH | EAN 9783642328817 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2012, 2012
ISBN 10 : 3642328814 ISBN 13 : 9783642328817
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally. Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data.Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited. 280 pp. Englisch.
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Ajouter au panierEtat : New. Print on Demand pp. 280 83 Illus. (34 Col.).
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 280.
Edité par Springer Berlin Heidelberg, 2012
ISBN 10 : 3642328814 ISBN 13 : 9783642328817
Langue: anglais
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focused study of modeling from model design to model identifiability and validationWritten by current leading experts in the field and including topics of current research interest in state of the art questions and methodsFocus on interdisc.