Chapter 8 here

• Computational Aspects:
  • The condition number of an square matrix is the ratio between the largest and the smallest singular value. For a symmetric positive-definite matrix this is the same as the ratio between the largest and smallest eigenvalue. The importance of this indicator is that it measure how numerically unstable are matrix operations, e.g. inversion.