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Alfio Quarteroni - Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics) - 9783540852674 - V9783540852674
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Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics)

€ 182.69
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Description for Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics) Paperback. This soft cover reprint of the popular hardbound thoroughly illustrates numerical methods. It carries out their stability and convergence analysis, derives error bounds, and discusses the algorithmic aspects relative to their implementation. Series: Springer Series in Computational Mathematics. Num Pages: 544 pages, 59 black & white illustrations, 17 black & white tables, biography. BIC Classification: PBKB; PBKJ; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 157 x 38. Weight in Grams: 816.
Everything is more simple than one thinks but at the same time more complex than one can understand Johann Wolfgang von Goethe To reach the point that is unknown to you, you must take the road that is unknown to you St. John of the Cross This is a book on the numerical approximation ofpartial differential equations (PDEs). Its scope is to provide a thorough illustration of numerical methods (especially those stemming from the variational formulation of PDEs), carry out their stability and convergence analysis, derive error bounds, and discuss the algorithmic aspects relative to their implementation. A sound balancing ... Read more

Product Details

Publisher
Springer
Format
Paperback
Publication date
2008
Series
Springer Series in Computational Mathematics
Condition
New
Weight
815g
Number of Pages
544
Place of Publication
Berlin, Germany
ISBN
9783540852674
SKU
V9783540852674
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Numerical Approximation of Partial Differential Equations (Springer Series in Computational Mathematics)
...The book is excellent and is addressed to post-graduate students, research workers in applied sciences as well as to specialists in numerical mathematics solving PDE. Since it is written very clearly, it would be acceptable for undergraduate students in advanced courses of numerical mathematics. Readers will find this book to be a great pleasure.
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