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Numerical Methods in Engineering with Python

2nd Edition

$119.00

textbook
  • Date Published: January 2010
  • availability: Temporarily unavailable - no date available
  • format: Hardback
  • isbn: 9780521191326

$119.00
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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.

    • NumArray has been replaced with NumPy, due to the discontinuance of support for NumArray and its predecessor Numeric
    • Now includes rational function interpolation, Ridder's method and the downhill simplex method
    • Contains 18 additional exercises
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    Product details

    • Edition: 2nd Edition
    • Date Published: January 2010
    • format: Hardback
    • isbn: 9780521191326
    • length: 432 pages
    • dimensions: 260 x 183 x 27 mm
    • weight: 1.2kg
    • contains: 20 tables 364 exercises
    • availability: Temporarily unavailable - no date available
  • Table of Contents

    1. Introduction to Python
    2. Systems of linear algebraic equations
    3. Interpolation and curve fitting
    4. Roots of equations
    5. Numerical differentiation
    6. Numerical integration
    7. Initial value problems
    8. Two-point boundary value problems
    9. Symmetric matrix eigenvalue problems
    10. Introduction to optimization.

  • Resources for

    Numerical Methods in Engineering with Python

    Jaan Kiusalaas

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  • Author

    Jaan Kiusalaas, Pennsylvania State University
    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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