Course : M.Sc. in Quantum Computing & Technologies - Linear Algebra for Quantum Mechanics

Class notes - Lecture 13: Linear functionals

Class notes - Lecture 12: Orthogonal projection

Class notes - Lecture 11: Best approximation

Class notes - Lecture 10: Gram-Schmidt orthogonalization process

Class notes - Lecture 09: Orthogonal vectors

Class notes - Lecture 08: Inner product spaces

Class notes - Lecture 07: Linear independence and base

Class notes - Lecture 06: Vector spaces and subspaces

Class notes - Lecture 05: Applications of Jordan form

Class notes - Lecture 04: Jordan canonical form

Class notes - Lecture 03: Diagonalization - Special cases

Class notes - Lecture 02: Matrix diagonalization

Class notes - Lecture 01: Eigenvalues-eigenvectors