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Numerical Methods in Engineering with Python 3

ISBN-10: 1107033853
ISBN-13: 9781107033856
Edition: 3rd 2013 (Revised)
Authors: Jaan Kiusalaas
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Description: 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,  More...

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Book details

Edition: 3rd
Copyright year: 2013
Publisher: Cambridge University Press
Publication date: 1/21/2013
Binding: Hardcover
Pages: 432
Size: 7.25" wide x 10.00" long x 1.00" tall
Weight: 2.332
Language: English

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.

Jaan Kiusalaas, Professor Emeritus, Engineering Science and Mechanics, The Pennsylvania State University. Professor Kiusalaas received his Honors BS in Civil Engineering from the University of Adelaide, Australia, his M.S. in Civil Engineering and his Ph D. in Engineering Mechanics, both from Northwestern University. He has been a Professor at The Pennsylvania State University since 1963. He is also a Senior Postdoctoral Fellow of NASA's Marshall Space Flight Centre. Professor Kiusalaas' teaching experience includes such topics as Numerical Methods (including finite element and boundary element methods), and Engineering Mechanics ranging from introductory courses (statics & dynamics) to graduate level courses.

Introduction to Python
Systems of linear algebraic equations
Interpolation and curve fitting
Roots of equations
Numerical differentiation
Numerical integration
Initial value problems
Two-point boundary value problems
Symmetric matrix eigenvalue problems
Introduction to optimization

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