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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Contents

Preface ix
Systems of Linear Algebraic Equations 31
Interpolation and Curve Fitting 104
21
Problem Set 3 2
141
Numerical Differentiation
183
Numerical Integration
199
Initial Value Problems
246
TwoPoint Boundary Value Problems
293
Symmetric Matrix Eigenvalue Problems
321
Introduction to Optimization
374
Appendices
407
List of Program Modules by Chapter
417
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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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