What you will learn

• Matrix multiplication, transpose, inverse, orthogonal matrices

• Gaussian elimination, reduced row echelon form, LU decomposition

• Vector Spaces, linear independence, Gram-Schmidt process, null space, column space, least-squares problem

• Determinants, Laplace expansion, Leibniz formula, eigenvalue problem, matrix diagonalization, powers of a matrix