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Numerical Methods in Engineering with Python 3 - Jaan Kiusalaas

Numerical Methods in Engineering with Python 3

(Autor)

Buch | Hardcover
432 Seiten
2013 | 3rd Revised edition
Cambridge University Press (Verlag)
978-1-107-03385-6 (ISBN)
CHF 164,10 inkl. MwSt
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Provides an introduction to numerical methods for students in engineering courses. This book covers the solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use.
This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. 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 utilised in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new edition 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 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.

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.

Zusatzinfo 19 Tables, unspecified; 31 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 183 x 257 mm
Gewicht 930 g
Themenwelt Mathematik / Informatik Informatik Web / Internet
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
ISBN-10 1-107-03385-3 / 1107033853
ISBN-13 978-1-107-03385-6 / 9781107033856
Zustand Neuware
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