Numerical Methods in Engineering with Python
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.
- Only available Python based engineering numerical methods text
- Includes numerous problems and examples
- Each method is accompanied by computer code written in Python which is also available on the book web site
Product details
No date availableHardback
9780521852876
432 pages
242 × 185 × 29 mm
0.852kg
133 b/w illus. 12 tables 346 exercises
Table of Contents
- 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.