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Book cover of Numerical Methods in Engineering with Python
Data Processing, Computer Mathematics, Engineering & Computer Technology, Scripting Languages, Mathematics - Applied

Numerical Methods in Engineering with Python

by Jaan Kiusalaas
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Overview

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.

Synopsis

Numerical Methods in Engineering with Python, 2nd Edition is aimed at engineering students and practising engineers interested in exploring Python.

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 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 MATLAB® code.

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Book Details

Published
January 1, 2010
Publisher
Cambridge University Press
Pages
432
Format
Hardcover
ISBN
9780521191326

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