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Numerical Methods in Engineering with Python, by Jaan Kiusalaas
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Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. Examples and applications were chosen for their relevance to real world problems, and where numerical solutions are most efficient. Numerical methods are discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method. Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package; free and available to all students and engineers. Explore numerical methods with Python, a great language for teaching scientific computation.
- Sales Rank: #3245581 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2005-07-25
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x 1.14" w x 7.01" l, 1.88 pounds
- Binding: Hardcover
- 432 pages
- Used Book in Good Condition
About the Author
Jaan Kiusalaas is a Professor Emeritus in the School of Engineering Science and Mechanics at Pennsylvania State University. He has taught numerical methods, including finite element and boundary element methods for over 30 years. He is also the co-author of four other works, Engineering Mechanics: Statics, Engineering Mechanics: Dynamics, and Mechanics of Materials and an alternate version of this work with MATLAB code.
Most helpful customer reviews
24 of 25 people found the following review helpful.
Undergrad Numerical Method Textbook
By Keiichi Ito
The content is typical of an undergraduate course in numerical methods. The author employs Python for that. It doesn't tell you how to use various modules available on the net. Instead, the author sticks to the standard few and explains numerical methods from the very basics. The book is very good for an introduction coursework. However, if you are a researcher looking for tools for serious numerical computation and thinking of using Python as an efficient and convenient organizer(or "glue") rather than a number cruncher, you might as well consult the book by H.P. Langtangen.
This book is also useful if you want to get a hang on how a textbook numerical method would work on Python. You can then use the language for a quick algorithm prototyping in your own work.
3 of 3 people found the following review helpful.
Good Introduction
By J. Leeman
Being familiar with python is necessary for this volume, but the concepts used are simple. The description of the numerical methods is complete, but a comparison of methods is not always present leaving an inexperienced analyst to wonder which method is the best for a given situation. Python is also not the most efficient language for numerical computation, but is a good linker and with cython it can become a viable option. Overall I recommend this book for learning numerical methods as you will not be tangled in the programming language, but learning numerical methods.
1 of 1 people found the following review helpful.
Good addition for your machine learning bookshelf
By Krysta
Concise and well explained; if you are looking for easy to read and unencumbered implementations of numerical algorithms, this book is a great addition.
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