Numerical Methods in Engineering with Python
Cambridge University Press (Verlag)
978-0-521-85287-6 (ISBN)
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Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. Examples and applications were chosen for their relevance to real world problems, and where numerical solutions are most efficient. Numerical methods are discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method. Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package; free and available to all students and engineers. Explore numerical methods with Python, a great language for teaching scientific computation.
Jaan Kiusalaas is a Professor Emeritus in the School of Engineering Science and Mechanics at Pennsylvania State University. He has taught numerical methods, including finite element and boundary element methods for over 30 years. He is also the co-author of four other works, Engineering Mechanics: Statics, Engineering Mechanics: Dynamics, and Mechanics of Materials and an alternate version of this work with MATLAB code.
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.
| Erscheint lt. Verlag | 25.7.2005 |
|---|---|
| Zusatzinfo | Worked examples or Exercises; 12 Tables, unspecified; 133 Line drawings, unspecified |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 185 x 242 mm |
| Gewicht | 852 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Technik | |
| ISBN-10 | 0-521-85287-0 / 0521852870 |
| ISBN-13 | 978-0-521-85287-6 / 9780521852876 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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