• 3 Computational linear algebra: pg. 143-144 – Gauss–Jordan elimination
  • 3.1 Computational linear algebra: pg. 144-153 – Reduced row echelon form (solving equations, augmented matrix, row operations, definitions, Gauss–Jordan elimination algorithm, number of solutions, geometric interpretation: lines in two dimensions + planes in three dimensions
  • 3.2 Matrix equations: pg. 157-160
  • 3.5 Matrix inverse: pg. 178-182 – Using row operations, Using elementary matrices
  • 6.6 Matrix decomposition: pg. 315-316 – LU decomposition.


Last modified: Wednesday, 16 August 2023, 10:40