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Numerical Methods in Engineering with Python, 2nd Edition is a text for engineering students and a reference for practicing engineers, especially those who wish to explore Python. This new edition features 18 additional exercises and the addition of rational function interpolation. Brent's method of root finding was replaced by Ridder's method, and the Fletcher-Reeves method of optimization was dropped in favor of the downhill simplex method. Each numerical method is explained in detail, and its shortcomings are pointed out. The examples that follow individual topics fall into two categories: hand computations that illustrate the inner workings of the method and small programs that show how the computer code is utilized in solving a problem. This second edition also includes more robust computer code with each method, which 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.
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Numerical Methods in Engineering with Python, 2nd Edition is intended for engineering students and as a reference for practicing engineers interested in exploring Python. This new edition features 18 more exercises, more robust computer codes, and the addition of rational function interpolation, Ridder's method, and the downhill simplex method.About the Author:
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 30 years. He is also the co-author of four other books - Engineering Mechanics: Statics, Engineering Mechanics: Dynamics, Mechanics of Materials, and an alternate version of this work with MATLABŪ code.
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Book Description Cambridge University Press, 2014. Paperback. Condition: New. Never used!. Seller Inventory # P111107435935
Book Description Cambridge University Press, 2014. Condition: New. book. Seller Inventory # M1107435935