Regularization of total least squares problems

Total least squares is a method for treating over determined linear system Ax=b, where both the matrix A and the vector b are contaminated by noise. In this project we study regularization of these problems and numerical methods of iterative projection type.

• 4-13.134V
  Jörg Lampe and Heinrich Voss: On a Quadratic Eigenproblem Occurring in Regularized Total Least Squares. Eingereicht bei Computational Statistics and Data Analysis