These notes collect key concepts and personal understandings of linear algebra that are frequently used in computational science and numerical methods.

Topics may include:

  • Vector spaces and norms
  • Eigenvalues and eigenvectors
  • Matrix decompositions
  • Linear systems arising from PDE discretization

(Under active development)