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Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach - Couverture souple
Synopsis
Book by Holden Helge ksendal Bernt Ube Jan Zhang Tusheng
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
In this second edition, the authors build on the theory of SPDEs driven by space-time Brownian motion, or more generally, space-time Lévy process noise. Applications of the theory are emphasized throughout and useful exercises are at the end of each chapter.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2009
- ISBN 10 038789487X
- ISBN 13 9780387894874
- ReliureBroché
- Langueanglais
- Numéro d'édition2
- Nombre de pages324
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Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach (Universitext)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Feb2215580173587
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Stochastic Partial Differential Equations : A Modeling, White Noise Functional Approach
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : New. N° de réf. du vendeur 6543971-n
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Stochastic Partial Differential Equations : A Modeling, White Noise Functional Approach
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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PF. Etat : New. N° de réf. du vendeur 6666-IUK-9780387894874
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Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach (Universitext)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Stochastic Partial Differential Equations : A Modeling, White Noise Functional Approach
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Stochastic Partial Differential Equations
Edité par
SPRINGER NATURE Dez 2009, 2009
ISBN 10 : 038789487X
ISBN 13 : 9780387894874
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The first edition of Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach, gave a comprehensive introduction to SPDEs. In this, the second edition, the authors build on the theory of SPDEs driven by space-time Brownian motion, or more generally, space-time Lévy process noise. Applications of the theory are emphasized throughout. The stochastic pressure equation for fluid flow in porous media is treated, as are applications to finance.Graduate students in pure and applied mathematics as well as researchers in SPDEs, physics, and engineering will find this introduction indispensible. Useful exercises are collected at the end of each chapter. 305 pp. Englisch. N° de réf. du vendeur 9780387894874
Quantité disponible : 2 disponible(s)
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Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach
Edité par
Springer-Verlag New York Inc., 2009
ISBN 10 : 038789487X
ISBN 13 : 9780387894874
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 499. N° de réf. du vendeur C9780387894874
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Stochastic Partial Differential Equations : A Modeling, White Noise Functional Approach
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The first edition of Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach, gave a comprehensive introduction to SPDEs driven by space-time Brownian motion noise. In this, the second edition, the authors extend the theory to include SPDEs driven by space-time Lévy process noise, and introduce new applications of the field.Because the authors allow the noise to be in both space and time, the solutions to SPDEs are usually of the distribution type, rather than a classical random field. To make this study rigorous and as general as possible, the discussion of SPDEs is therefore placed in the context of Hida white noise theory. The key connection between white noise theory and SPDEs is that integration with respect to Brownian random fields can be expressed as integration with respect to the Lebesgue measure of the Wick product of the integrand with Brownian white noise, and similarly with Lévy processes.The first part of the book deals with the classical Brownian motion case. The second extends it to the Lévy white noise case. For SPDEs of the Wick type, a general solution method is given by means of the Hermite transform, which turns a given SPDE into a parameterized family of deterministic PDEs. Applications of this theory are emphasized throughout. The stochastic pressure equation for fluid flow in porous media is treated, as are applications to finance.Graduate students in pure and applied mathematics as well as researchers in SPDEs, physics, and engineering will find this introduction indispensible. Useful exercises are collected at the end of each chapter.From the reviews of the first edition:'The authors have made significant contributions to each of the areas. As a whole, the book is well organized and very carefully written and the details of the proofs are basically spelled out. This is a rich and demanding book. It will be of great value for students ofprobability theory or SPDEs with an interest in the subject, and also for professional probabilists.' -Mathematical Reviews'.a comprehensive introduction to stochastic partial differential equations.' -Zentralblatt MATH. N° de réf. du vendeur 9780387894874
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Stochastic Partial Differential Equations
Edité par
Springer New York, 2009
ISBN 10 : 038789487X
ISBN 13 : 9780387894874
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. N° de réf. du vendeur 5911530
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Stochastic Partial Differential Equations
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. pp. 324 2nd Edition. N° de réf. du vendeur 26745967
Quantité disponible : 4 disponible(s)