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Numerical Approximation of Ordinary Differential Problems: From Deterministic to Stochastic Numerical Methods: 148 (La Matematica per il 3+2) - Softcover
- VerlagSpringer-Verlag GmbH
- Erscheinungsdatum2023
- ISBN 10 3031313429
- ISBN 13 9783031313424
- EinbandTapa blanda
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten400
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Numerical Approximation of Ordinary Differential Problems
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Numerical Approximation of Ordinary Differential Problems
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Numerical Approximation of Ordinary Differential Problems
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Numerical Approximation of Ordinary Differential Problems
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Bestandsnummer des Verkäufers ABNR-27812
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Numerical Approximation of Ordinary Differential Problems
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Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verkäufers ABEJUNE24-14118
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Numerical Approximation of Ordinary Differential Problems : From Deterministic to Stochastic Numerical Methods
Verlag:
Springer Nature Switzerland, 2023
ISBN 10: 3031313429
ISBN 13: 9783031313424
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Softcover
Anbieter: Buchpark, Trebbin, Deutschland
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 400 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 42230817/1
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Numerical Approximation of Ordinary Differential Problems
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Numerical Approximation of Ordinary Differential Problems
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Numerical Approximation of Ordinary Differential Problems
Verlag:
Springer Nature Switzerland Sep 2023, 2023
ISBN 10: 3031313429
ISBN 13: 9783031313424
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is focused on the numerical discretization of ordinary differential equations (ODEs), under several perspectives. The attention is first conveyed to providing accurate numerical solutions of deterministic problems. Then, the presentation moves to a more modern vision of numerical approximation, oriented to reproducing qualitative properties of the continuous problem along the discretized dynamics over long times. The book finally performs some steps in the direction of stochastic differential equations (SDEs), with the intention of offering useful tools to generalize the techniques introduced for the numerical approximation of ODEs to the stochastic case, as well as of presenting numerical issues natively introduced for SDEs.The book is the result of an intense teaching experience as well as of the research carried out in the last decade by the author. It is both intended for students and instructors: for the students, this book is comprehensive and rather self-contained; for the instructors, there is material for one or more monographic courses on ODEs and related topics. In this respect, the book can be followed in its designed path and includes motivational aspects, historical background, examples and a software programs, implemented in Matlab, that can be useful for the laboratory part of a course on numerical ODEs/SDEs.The book also contains the portraits of several pioneers in the numerical discretization of differential problems, useful to provide a framework to understand their contributes in the presented fields. Last, but not least, rigor joins readability in the book. 400 pp. Englisch. Bestandsnummer des Verkäufers 9783031313424
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Numerical Approximation of Ordinary Differential Problems : From Deterministic to Stochastic Numerical Methods
Verlag:
Springer Nature Switzerland, 2023
ISBN 10: 3031313429
ISBN 13: 9783031313424
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is focused on the numerical discretization of ordinary differential equations (ODEs), under several perspectives. The attention is first conveyed to providing accurate numerical solutions of deterministic problems. Then, the presentation moves to a more modern vision of numerical approximation, oriented to reproducing qualitative properties of the continuous problem along the discretized dynamics over long times. The book finally performs some steps in the direction of stochastic differential equations (SDEs), with the intention of offering useful tools to generalize the techniques introduced for the numerical approximation of ODEs to the stochastic case, as well as of presenting numerical issues natively introduced for SDEs.The book is the result of an intense teaching experience as well as of the research carried out in the last decade by the author. It is both intended for students and instructors: for the students, this book is comprehensive and ratherself-contained; for the instructors, there is material for one or more monographic courses on ODEs and related topics. In this respect, the book can be followed in its designed path and includes motivational aspects, historical background, examples and a software programs, implemented in Matlab, that can be useful for the laboratory part of a course on numerical ODEs/SDEs.The book also contains the portraits of several pioneers in the numerical discretization of differential problems, useful to provide a framework to understand their contributes in the presented fields. Last, but not least, rigor joins readability in the book. Bestandsnummer des Verkäufers 9783031313424
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