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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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