Lingua: Inglese
Editore: Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838135954 ISBN 13: 9783838135953
Da: preigu, Osnabrück, Germania
EUR 59,40
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Regularity and Integration Theory for a Class of Stochastic Processes | Applications to Parabolic Problems | Stefan Sperlich | Taschenbuch | 140 S. | Englisch | 2012 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838135953 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften Dez 2012, 2012
ISBN 10: 3838135954 ISBN 13: 9783838135953
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 69,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book aims to develop a general integration theory for stochastic processes with stationary increments and spectral density. This class of motions particularly allows the simultaneous study of long-range dependence and intermittency effects and includes the most relevant random processes used in modern stochastic analysis. So for instance the Wiener process, the fractional Brownian motion, the fractional Riesz-Bessel motion but also Poisson and Levy processes. The so obtained knowledge on generalised stochastic integration will be used to achieve regularity results and is applied to parabolic Volterra problems with random noise as well as to the problem of anomalous diffusion with stochastic disturbance along the boundary.Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch.
Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften Dez 2012, 2012
ISBN 10: 3838135954 ISBN 13: 9783838135953
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 69,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to develop a general integration theory for stochastic processes with stationary increments and spectral density. This class of motions particularly allows the simultaneous study of long-range dependence and intermittency effects and includes the most relevant random processes used in modern stochastic analysis. So for instance the Wiener process, the fractional Brownian motion, the fractional Riesz-Bessel motion but also Poisson and Levy processes. The so obtained knowledge on generalised stochastic integration will be used to achieve regularity results and is applied to parabolic Volterra problems with random noise as well as to the problem of anomalous diffusion with stochastic disturbance along the boundary. 140 pp. Englisch.
Lingua: Inglese
Editore: Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838135954 ISBN 13: 9783838135953
Da: moluna, Greven, Germania
EUR 56,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sperlich StefanBorn and raised in Koethen, Stefan studied Mathematics and Economics in Halle (Saale). The father of two left the academic research after conferral of the doctorate in 2009 and crossed lines towards insurance industry.
Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften, 2012
ISBN 10: 3838135954 ISBN 13: 9783838135953
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to develop a general integration theory for stochastic processes with stationary increments and spectral density. This class of motions particularly allows the simultaneous study of long-range dependence and intermittency effects and includes the most relevant random processes used in modern stochastic analysis. So for instance the Wiener process, the fractional Brownian motion, the fractional Riesz-Bessel motion but also Poisson and Levy processes. The so obtained knowledge on generalised stochastic integration will be used to achieve regularity results and is applied to parabolic Volterra problems with random noise as well as to the problem of anomalous diffusion with stochastic disturbance along the boundary.