- Fundamental properties of matrices, their norms, and their applications.
- Differentiation/integration of multivariable functions and the role of the gradient and Hessian matrix.
- Fundamental properties of optimization problems involving matrices and multivariable functions.
6. Brief Description of Course Content:
This course covers topics including matrices, determinants, systems of linear equations, vector spaces, Euclidean spaces, matrix diagonalization, quadratic forms, and multivariable calculus, as well as vector fields.