Numerical Analysis Studies 📊

Welcome to my personal repository dedicated to studying Numerical Analysis! Here, I document my learning journey based on the 9th edition of "Numerical Analysis" by Richard L. Burden and J. Douglas Faires. Each chapter covers various aspects of numerical methods, accompanied by C implementations of algorithms.

Contents 📚

1. Chapter 1: Mathematical Preliminaries and Error Analysis
2. Chapter 2: Solutions of Equations in One Variable
3. Chapter 3: Interpolation and Polynomial Approximation
4. Chapter 4: Numerical Differentiation and Integration
5. Chapter 5: Initial Value Problems for Ordinary Differential Equations
6. Chapter 6: Direct Methods for Solving Linear Systems
7. Chapter 7: Iterative Techniques in Matrix Algebra
8. Chapter 8: Approximation Theory
9. Chapter 9: Approximating Eigenvalues
10. Chapter 10: Numerical Solutions of Nonlinear Systems of Equations
11. Chapter 11: Boundary Value Problems for Ordinary Differential Equations
12. Chapter 12: Numerical Solutions for Partial Differential Equations

How to Use ℹ️

Each folder contains C code for a specific numerical algorithm. To use the code, simply navigate to the desired chapter and follow the instructions provided in the respective README file.

Contributions 🌟

Contributions are welcome! If you find any issues or want to add improvements, feel free to submit a pull request.

Resources 📌

• Book: Numerical Analysis by Richard L. Burden and J. Douglas Faires (9th edition)

Wish me a happy learning! 🚀