INTRODUCTION TO NUMERICAL METHODS IN DIFFERENTIAL EQUATIONS (PB 2018). Cet article n’est pas disponible.
Langue : anglais
Edité par Springer, 2006
- Livre broché
- Neuf

Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-UnisRomtrade Corp.
Vendeur AbeBooks depuis 17 avril 2013
Etat: Neuf
EUR 27,56
A propos de cet article
Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
N° de réf. du vendeur ABBB-14110
- Titre
- INTRODUCTION TO NUMERICAL METHODS IN DIFFERENTIAL EQUATIONS (PB 2018)
- Auteur
- Holmes, Mark H.
- Éditeur
- Springer
- Année de publication
- 2006
- État de l'article
- New
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 0387308911
- ISBN à 13 chiffres
- 9780387308913
- Édition
- Edition internationale
- Série
- Livre 7 sur 55: Texts in Applied Mathematics
This book shows students how to derive, test and analyze numerical methods for solving differential equations, including both ordinary and partial differential equations. The objective is that students learn to solve differential equations numerically and understand the mathematical and computational issues that arise when this is done. An essential component of this approach is the extensive collection of exercises, which develop both the analytical and computational aspects of the material. Numerical methods for differential equations are important in a variety of disciplines: most laws of physics involve differential equations, as do the modern theories of financial assets. Moreover many computer animation methods are now grounded in physics-based rules and are heavily invested in differential equations. In addition to more than 100 illustrations, the book includes a large collection of supplemental material: exercise sets, MATLAB computer codes for both student and instructor, lecture slides and movies.
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