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  2. Householder transformation - Wikipedia

    en.wikipedia.org/wiki/Householder_transformation

    In linear algebra, a Householder transformation (also known as a Householder reflection or elementary reflector) is a linear transformation that describes a reflection about a plane or hyperplane containing the origin. The Householder transformation was used in a 1958 paper by Alston Scott Householder. [1]

  3. Orthogonalization - Wikipedia

    en.wikipedia.org/wiki/Orthogonalization

    Symmetric orthogonalization, which uses the Singular value decomposition; When performing orthogonalization on a computer, the Householder transformation is usually preferred over the Gram–Schmidt process since it is more numerically stable, i.e. rounding errors tend to have less serious effects.

  4. Gram–Schmidt process - Wikipedia

    en.wikipedia.org/wiki/Gram–Schmidt_process

    The algorithms using Householder transformations are more stable than the stabilized Gram–Schmidt process. On the other hand, the Gram–Schmidt process produces the th orthogonalized vector after the th iteration, while orthogonalization using Householder reflections produces all the vectors only at the end.

  5. QR decomposition - Wikipedia

    en.wikipedia.org/wiki/QR_decomposition

    A Householder reflection (or Householder transformation) is a transformation that takes a vector and reflects it about some plane or hyperplane. We can use this operation to calculate the QR factorization of an m-by-n matrix with m ≥ n. Q can be used to reflect a vector in such a way that all coordinates but one disappear.

  6. Orthogonal matrix - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_matrix

    A Householder reflection is typically used to simultaneously zero the lower part of a column. Any orthogonal matrix of size n × n can be constructed as a product of at most n such reflections. A Givens rotation acts on a two-dimensional (planar) subspace spanned by two coordinate axes, rotating by a chosen angle. It is typically used to zero a ...

  7. Singular value decomposition - Wikipedia

    en.wikipedia.org/wiki/Singular_value_decomposition

    The GSL also offers an alternative method that uses a one-sided Jacobi orthogonalization in step 2 (GSL Team 2007). This method computes the SVD of the bidiagonal matrix by solving a sequence of ⁠ 2 × 2 {\displaystyle 2\times 2} ⁠ SVD problems, similar to how the Jacobi eigenvalue algorithm solves a sequence of ⁠ 2 × 2 {\displaystyle 2 ...

  8. Will wife of accused Missouri boarding school abuser testify ...

    www.aol.com/news/wife-accused-missouri-boarding...

    The Missouri Attorney General has offered a plea deal to Stephanie Householder, co-owner of the now-closed Circle of Hope Girls Ranch, to testify against her husband in their upcoming abuse trial ...

  9. Alston Scott Householder - Wikipedia

    en.wikipedia.org/wiki/Alston_Scott_Householder

    Alston Scott Householder (5 May 1904 – 4 July 1993) was an American mathematician who specialized in mathematical biology and numerical analysis. He is the inventor of the Householder transformation and of Householder's method .