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  2. Gram–Schmidt process - Wikipedia

    en.wikipedia.org/wiki/GramSchmidt_process

    The first two steps of the GramSchmidt process. In mathematics, particularly linear algebra and numerical analysis, the GramSchmidt process or Gram-Schmidt algorithm is a way of finding a set of two or more vectors that are perpendicular to each other.

  3. Gram matrix - Wikipedia

    en.wikipedia.org/wiki/Gram_matrix

    The Gram matrix is symmetric in the case the inner product is real-valued; it is Hermitian in the general, complex case by definition of an inner product. The Gram matrix is positive semidefinite, and every positive semidefinite matrix is the Gramian matrix for some set of vectors. The fact that the Gramian matrix is positive-semidefinite can ...

  4. Iwasawa decomposition - Wikipedia

    en.wikipedia.org/wiki/Iwasawa_decomposition

    In mathematics, the Iwasawa decomposition (aka KAN from its expression) of a semisimple Lie group generalises the way a square real matrix can be written as a product of an orthogonal matrix and an upper triangular matrix (QR decomposition, a consequence of GramSchmidt orthogonalization).

  5. Schmidt decomposition - Wikipedia

    en.wikipedia.org/wiki/Schmidt_decomposition

    In linear algebra, the Schmidt decomposition (named after its originator Erhard Schmidt) refers to a particular way of expressing a vector in the tensor product of two inner product spaces. It has numerous applications in quantum information theory , for example in entanglement characterization and in state purification , and plasticity .

  6. QR decomposition - Wikipedia

    en.wikipedia.org/wiki/QR_decomposition

    We could use an orthogonal projection (Gram-Schmidt) but this will be numerically unstable if the vectors and are close to orthogonal. Instead, the Householder reflection reflects through the dotted line (chosen to bisect the angle between x {\displaystyle \mathbf {x} } and e 1 {\displaystyle \mathbf {e} _{1}} ).

  7. Conjugate gradient method - Wikipedia

    en.wikipedia.org/wiki/Conjugate_gradient_method

    A practical way to enforce this is by requiring that the next search direction be built out of the current residual and all previous search directions. The conjugation constraint is an orthonormal-type constraint and hence the algorithm can be viewed as an example of Gram-Schmidt orthonormalization. This gives the following expression:

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  9. Jørgen Pedersen Gram - Wikipedia

    en.wikipedia.org/wiki/Jørgen_Pedersen_Gram

    Jørgen Pedersen Gram (27 June 1850 – 29 April 1916) was a Danish actuary and mathematician who was born in Nustrup, Duchy of Schleswig, Denmark and died in Copenhagen, Denmark. Important papers of his include On series expansions determined by the methods of least squares , and Investigations of the number of primes less than a given number .