Programming Numerical Methods in MATLAB
A concise e-book with downloadable code files
The essential numerical analysis methods that are covered in most academic courses.
Chapter 1. Introduction: Numerical methods, Programming languages used in numerical methods, The goal of the book, Why MATLAB programming language, What this book focuses at, What is needed to read this book, Source code files
Chapter 2. Roots of High-Degree Equations: Simple Iterations Method, Convergence and Divergence, Newton-Raphson Method, Bisection Method
Chapter 3. Interpolation and Curve Fitting Methods: Linear Interpolation, Lagrange’s Method, Newton’s Method, Curve Fitting Fitting with a Straight Line (Linear Regression), Fitting with a Polynomial Curve
Chapter 4. Numerical Differentiation: Finite Differences Approximation
Chapter 5. Numerical Integration: Trapezoidal Rule, Simpson’s Rules: Simpson’s 1/3 Rule, Simpson’s 3/8 Rule, Double Integration
Chapter 6. Systems of Linear Equations: Gauss Elimination Method, Jacobi’s Method, Gauss-Seidel Method, The Diagonal Dominance
Chapter 7. Ordinary Differential Equations (ODE): Euler’s Method, The Second Order Runge-Kutta Method, The Fourth Order Runge-Kutta Method, Higher-Order Ordinary Differential Equations
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