Numerical Methods in Engineering with Python 3

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Cambridge University Press, Jan 21, 2013 - Computers - 432 pages
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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 MATLABŪ 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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Preface ix
Systems of Linear Algebraic Equations 31
Interpolation and Curve Fitting 104
Problem Set 3 2
Numerical Differentiation
Numerical Integration
Initial Value Problems
TwoPoint Boundary Value Problems
Symmetric Matrix Eigenvalue Problems
Introduction to Optimization
List of Program Modules by Chapter

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About the author (2013)

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 thirty years. He is also the co-author or author of four books - Engineering Mechanics: Statics, Engineering Mechanics: Dynamics, Mechanics of Materials, Numerical Methods in Engineering with MATLAB, 2nd edition, and two previous editions of Numerical Methods in Engineering with Python.

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