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Advanced Topics in Computational Partial Differential Equations

Advanced Topics in Computational Partial Differential Equations

Autorzy
Wydawnictwo Springer Nature
Data wydania 22/09/2012
Wydanie Pierwsze
Forma publikacji eBook: Fixed Page eTextbook (PDF)
Język angielski
ISBN 9783642182372
Kategorie Analizy realne i zmienne rzeczywiste, Rachunek różniczkowy i formuły, Nauki komputerowe
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Typ przesyłki: wysyłka kodu na adres e-mail
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Opis książki

This book is about solving partial differential equations (PDEs). Such equa­ tions are used to model a wide range ofphenomena in virtually all fields ofsci­ ence and technology. Inthe last decade, the general availability of extremely powerful computers has shifted the focus in computational mathematics from simplified model problems to much more sophisticated models resembling in­ tricate features of real life. This change challenges our knowledge in computer science and in numerical analysis. The main objective ofthe present book is to teach modern,advanced tech­ niques for numerical PDE solution. The book also introduces several models arising in fields likefinance, medicine, material technology, and geology. Inor­ der to read this book, you must have a basic knowledge of partial differential equations and numerical methods for solving such equations. Furthermore, some background in finite element methods is required. You do not need to know Diffpack, although this programming environment is used in examples throughout the text. Basically, this book is about models, methods, and how to implement the methods. For the implementation part it is natural for us to use Diffpack as the programming environment, because making a PDE solver in Diffpack requires little amount of programming and because Diff­ pack has support for the advanced numerical methods treated in this book. Most chapters have a part on models and methods, and a part on imple­ mentation and Diffpack programming. The exposition is designed such that readers can focus only on the first part, if desired.

Advanced Topics in Computational Partial Differential Equations

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