
Numerical Methods in Engineering with Python 3
$260.39
- Hardcover
432 pages
- Release Date
21 January 2013
Summary
This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use. All methods include programs showing how the computer code is utilised in the solution of problems. The book is based on Numerical Methods in Enginee…
Book Details
| ISBN-13: | 9781107033856 |
|---|---|
| ISBN-10: | 1107033853 |
| Author: | Jaan Kiusalaas |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 432 |
| Edition: | 3rd |
| Release Date: | 21 January 2013 |
| Weight: | 930g |
| Dimensions: | 257mm x 183mm x 25mm |
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What They're Saying
Critics Review
‘… a practical introduction, pushing the theory as far in the background as possible.’ The European Mathematical Society (euro-math-soc.eu)‘This book is nicely focused on the most frequently encountered types of numerical problems that scientists and engineers usually face and the most common and robust algorithms for solving them. The text is just the right size for a semester-long course for upper-division undergraduates or first-year graduate students … this is a well-written text that is logically organized, attractively presented, and supported with challenging problems.’ Anthony J. Duben, Computing Reviews
About The Author
Jaan Kiusalaas
Jaan Kiusalaas is a Professor Emeritus in the Department of Engineering Science and Mechanics at Pennsylvania State University. He has taught computer methods, including finite element and boundary element methods, for more than thirty years. He is also the co-author or author of four books – Engineering Mechanics: Statics, Engineering Mechanics: Dynamics, Mechanics of Materials, Numerical Methods in Engineering with MATLAB, 2nd edition, and two previous editions of Numerical Methods in Engineering with Python.
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