Introduction to Numerical Programming A Practical Guide for BY Titus A Beu
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- Pages
- 663
- File size
- 8.57 MB
- Format
- Digital PDF
- Course
- Education
- Category
- eBook[PDF]
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About this ebook
The Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ by Titus A. Beu covers a comprehensive range of topics, spanning from basic computer arithmetic to advanced algorithms used in physics and engineering. [1, 2]
1. Foundations & Programming Techniques
- Foundations: Covers number representation, error analysis, basic programming in Python and C/C++, data organization, and portable graphics. [1, 2]
2. Algebraic & Transcendental Equations
- Algebraic Methods: Includes function evaluation, root finding, and solving linear algebraic systems along with eigenvalue problems. [1]
3. Data Approximation & Integration
- Approximation and Integration: Focuses on curve fitting, regression, numerical integration (including Gaussian quadratures), and Monte Carlo methods with random number generation. [1, 2]
4. Differential Equations & Analysis
- Differential Equations: Examines ordinary differential equations (ODEs), partial differential equations (PDEs), and stability analysis for numerical solvers. [1]
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8.57 MB
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