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numerical methods in engineering with python 3e kiusalaas [pdf]

Numerical Methods in Engineering with Python (3rd Edition) by Jaan Kiusalaas

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About this book :-
Numerical Methods in Engineering with Python (3rd Edition) written by Jaan Kiusalaas .
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 MATLAB® 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.

Book Detail :-
Title: Numerical Methods in Engineering with Python
Edition: 3rd
Author(s): Jaan Kiusalaas
Publisher: Cambridge University Press
Series:
Year: 2013
Pages: 438
Type: PDF
Language: English
ISBN: 0521145759,9781107033856
Country: US
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About Author :-
The author Jaan Kiusalaas is a Professor Emeritus in the Department of Engineering Science and Mechanics at the Pennsylvania State University. He has taught numerical methods, including finite element and boundary el-ement methods for over 30 years. He is also the co-author of other Books
Engineering Mechanics: Statics
Engineering Mechanics: Dynamics
MechanicsofMaterials and Analternate version of this work

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Book Contents :-
Numerical Methods in Engineering with Python (3rd Edition) written by Jaan Kiusalaas cover the following topics.
Preface
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
Appendices A1 Taylor Series
Appendices A2 Matrix Algebra
List of Program Modules (by Chapter)
Index


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