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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. Schmidt reaction - Wikipedia

    en.wikipedia.org/wiki/Schmidt_reaction

    The carboxylic acid Schmidt reaction starts with acylium ion 1 obtained from protonation and loss of water. Reaction with hydrazoic acid forms the protonated azido ketone 2 , which goes through a rearrangement reaction with the alkyl group R, migrating over the C-N bond with expulsion of nitrogen.

  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. Generalized minimal residual method - Wikipedia

    en.wikipedia.org/wiki/Generalized_minimal...

    Note that ~ is an (n + 1)-by-n matrix, hence it gives an over-constrained linear system of n+1 equations for n unknowns. The minimum can be computed using a QR decomposition : find an ( n + 1)-by-( n + 1) orthogonal matrix Ω n and an ( n + 1)-by- n upper triangular matrix R ~ n {\displaystyle {\tilde {R}}_{n}} such that Ω n H ~ n = R ~ n ...

  6. Arnoldi iteration - Wikipedia

    en.wikipedia.org/wiki/Arnoldi_iteration

    In numerical linear algebra, the Arnoldi iteration is an eigenvalue algorithm and an important example of an iterative method.Arnoldi finds an approximation to the eigenvalues and eigenvectors of general (possibly non-Hermitian) matrices by constructing an orthonormal basis of the Krylov subspace, which makes it particularly useful when dealing with large sparse matrices.

  7. Orthogonal polynomials - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_polynomials

    In other words, the sequence is obtained from the sequence of monomials 1, x, x 2, … by the GramSchmidt process with respect to this inner product. Usually the sequence is required to be orthonormal , namely, P n , P n = 1 , {\displaystyle \langle P_{n},P_{n}\rangle =1,} however, other normalisations are sometimes used.

  8. File:Gram–Schmidt process.svg - Wikipedia

    en.wikipedia.org/wiki/File:GramSchmidt_process...

    The following other wikis use this file: Usage on bs.wikipedia.org Gram–Schmidtov postupak; Usage on ca.wikipedia.org Procés d'ortogonalització de Gram-Schmidt

  9. Lenstra–Lenstra–Lovász lattice basis reduction algorithm

    en.wikipedia.org/wiki/Lenstra–Lenstra–Lovász...

    An early successful application of the LLL algorithm was its use by Andrew Odlyzko and Herman te Riele in disproving Mertens conjecture. [5]The LLL algorithm has found numerous other applications in MIMO detection algorithms [6] and cryptanalysis of public-key encryption schemes: knapsack cryptosystems, RSA with particular settings, NTRUEncrypt, and so forth.