Numerical Methods in Engineering with Python 3 3rd Edition

by Jaan Kiusalaas (Author)

16 ratings

ISBN-13: 978-1107033856

ISBN-10: 1107033853

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This book is an introduction to numerical methods for students in engineering. It covers the usual topics found in an engineering course: solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems, and optimization. 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 utilized in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new text demonstrates the use of Python 3 and includes an introduction to the Python plotting package Matplotlib. This comprehensive book is enhanced by the addition of numerous examples and problems throughout.

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Editorial Reviews

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

Book Description

Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.

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Product details

Publisher ‏ : ‎ Cambridge University Press; 3rd edition (January 1, 2013)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 432 pages
ISBN-10 ‏ : ‎ 1107033853
ISBN-13 ‏ : ‎ 978-1107033856
Item Weight ‏ : ‎ 2.05 pounds
Dimensions ‏ : ‎ 7.2 x 1 x 10.1 inches

Best Sellers Rank: #1,136,867 in Books (See Top 100 in Books)
- #1,304 in Python Programming
- #3,737 in Engineering (Books)

Customer Reviews:
16 ratings

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Customer reviews

5 star		48%
4 star		28%
3 star		9%
2 star 0% (0%)		0%
1 star		14%

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Loonatic Fringe

Great book

Reviewed in the United States on September 1, 2016

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Definitely heavier on the math than the python, but it contains enough of a primer to get you started. Well written with very clear explanations.

3 people found this helpful

Helpful

Good addition for your machine learning bookshelf

Reviewed in the United States on May 14, 2016

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Concise and well explained; if you are looking for easy to read and unencumbered implementations of numerical algorithms, this book is a great addition.

3 people found this helpful

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Disappointed

spine of the book was cracked

Reviewed in the United States on January 12, 2021

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Though the book was new, it had a cracked spine. Any attempt to open the book any further would have caused it to fall apart.

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crunk106

Four Stars

Reviewed in the United States on September 16, 2015

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