Numerical Methods for Electrical Engineers

Course Content

2. Scientific Computing
3. System of Linear Equations
4. Linear Least Squares
5. Nonlinear Equations
6. Optimization
7. Interpolation
8. Numerical Integration and Differentiation

Computer Usage

• Projects require C++ programming

Projects

This section will showcase the semester projects:

1. Project 1: The aim of this project is to implement the Gaussian elimination algorithm with partial pivoting along with backward substitution to solve the equation Ax = b, where A is a n x n square matrix.
2. Project 2: This project involves the implementation of the normalized power iteration algorithm in combination with deflation to find two eigenvalues and the corresponding eigenvector for the dominant eigenvalue of a square matrix, A.
3. Project 3: Implementing secant and bisection algorithms in order to solve 𝑓(𝑥) = 0 for any given polynomial f. Take the coefficients of the function, initial guesses and the tolerance value as command line arguments and return the resulting values of x as well as the numbers of iterations for each method.
4. Labs: This folder contains basic exercises implemented during the course.