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Deuflhard, Peter; Bornemann, Folkmar - Scientific Computing with Ordinary Differential Equations - 9781441930118 - V9781441930118
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Scientific Computing with Ordinary Differential Equations

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Description for Scientific Computing with Ordinary Differential Equations paperback. Translator(s): Rheinboldt, W. C. Series: Texts in Applied Mathematics. Num Pages: 506 pages, 21 black & white tables, biography. BIC Classification: PBKJ; UYA. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 771.
Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of interest in the modern as well as the classical techniques of applied mathematics. This renewal of interest, both in re­ search and teaching, has led to the establishment of the series Texts in Applied Mathematics (TAM). The development of new courses is a natural consequence of a high level of excitement on the research frontier as newer techniques, such as numeri­ cal and symbolic computer systems, dynamical systems, and chaos, mix with and reinforce ... Read more

Product Details

Format
Paperback
Publication date
2010
Publisher
Springer-Verlag New York Inc. United States
Number of pages
506
Condition
New
Series
Texts in Applied Mathematics
Number of Pages
486
Place of Publication
New York, NY, United States
ISBN
9781441930118
SKU
V9781441930118
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Scientific Computing with Ordinary Differential Equations
P. Deuflhard and F. Bornemann Scientific Computing with Ordinary Differential Equations "Provides a sound fundamental introduction to the mathematical and numerical aspects of discretization methods for solving initial value problems in ordinary differential equations . . . This book would make an interesting (non-conventional) textbook for a graduate course in numerical analysis of ODEs. It is ... Read more

Goodreads reviews for Scientific Computing with Ordinary Differential Equations


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