Numerical Mathematics
Springer-Verlag Berlin and Heidelberg GmbH & Co. K (9783540346586 / 135 black & white illustrations, 45 blac) | Demonstrates their performance
Stores where to buy this product
Sponsored This site contains affiliate links for which we may receive compensation. More information
This product has not been found in any sponsored store recently, please check similar products from our sponsors or review other stores we offer where you may find the product.
Similar products
| This product in Comparor | |
|---|---|
|
Category
This product is cataloged in our store in these categories
|
- Engineering & Technology - Applied Mathematics - Calculus & Mathematical Analysis - Mathematical Foundations - Numbers - Maths - Engineering Skills & Design - Applied Mathematics - Calculus & Mathematical Analysis - Engineering - Maths - Computer Aided Design (CAD) |
|
International
Find this product in one of our international stores
|
 128.39 EUR |
| Colors
Predominant colors of the product |
|
| Tags | Demonstrates their performance |
| Identifiers | |
| Brand | Springer-Verlag Berlin and Heidelberg GmbH & Co. K Springer-Verlag Berlin and Heidelberg GmbH & Co. K. is a scientific publishing company. It was founded in 1842 by Julius Springer. |
| MPN | Springer-Verlag Berlin and Heidelberg GmbH & Co. K 135 black & white illustrations, 45 blac |
| ISBN | Springer-Verlag Berlin and Heidelberg GmbH & Co. K 3540346589 |
| ID | 13944467 |
| Dimensions / Weight | |
| Key Features | |
Related articles
(9781138070639) - Height: 235 mm - Spine width: 18 mm - Width: 156 mm - CRC Press - Taylor and Francis - ISBN: 9781138070639 - Number of pages: 204 - Languages: English - Weight: 535 g | Lessons in Scientific & Scientific computing
Explore advanced techniques for solving partial differential equations through robust numerical methods, featuring detailed theory, practical algorithms, and illustrative examples that bridge mathematics and computational science.
Explore advanced techniques for solving partial differential equations through robust numerical methods, featuring detailed theory, practical algorithms, and illustrative examples that bridge mathematics and computational science.