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  2. Gaussian elimination - Wikipedia

    en.wikipedia.org/wiki/Gaussian_elimination

    A variant of Gaussian elimination called GaussJordan elimination can be used for finding the inverse of a matrix, if it exists. If A is an n × n square matrix, then one can use row reduction to compute its inverse matrix, if it exists. First, the n × n identity matrix is augmented to the right of A, forming an n × 2n block matrix [A | I].

  3. LU decomposition - Wikipedia

    en.wikipedia.org/wiki/LU_decomposition

    Before Gauss many mathematicians in Eurasia were performing and perfecting it yet as the method became relegated to school grade, few of them left any detailed descriptions. Thus the name Gaussian elimination is only a convenient abbreviation of a complex history. The Polish astronomer Tadeusz Banachiewicz introduced the LU decomposition in ...

  4. Wilhelm Jordan (geodesist) - Wikipedia

    en.wikipedia.org/wiki/Wilhelm_Jordan_(geodesist)

    Wilhelm Jordan (1 March 1842, Ellwangen, Württemberg – 17 April 1899, Hanover) was a German geodesist who conducted surveys in Germany and Africa and founded the German geodesy journal. Biography [ edit ]

  5. Shoelace formula - Wikipedia

    en.wikipedia.org/wiki/Shoelace_formula

    Shoelace scheme for determining the area of a polygon with point coordinates (,),..., (,). The shoelace formula, also known as Gauss's area formula and the surveyor's formula, [1] is a mathematical algorithm to determine the area of a simple polygon whose vertices are described by their Cartesian coordinates in the plane. [2]

  6. Bruhat decomposition - Wikipedia

    en.wikipedia.org/wiki/Bruhat_decomposition

    In mathematics, the Bruhat decomposition (introduced by François Bruhat for classical groups and by Claude Chevalley in general) = of certain algebraic groups = into cells can be regarded as a general expression of the principle of GaussJordan elimination, which generically writes a matrix as a product of an upper triangular and lower triangular matrices—but with exceptional cases.

  7. Triangular matrix - Wikipedia

    en.wikipedia.org/wiki/Triangular_matrix

    A more precise statement is given by the Jordan normal form theorem, which states that in this situation, A is similar to an upper triangular matrix of a very particular form. The simpler triangularization result is often sufficient however, and in any case used in proving the Jordan normal form theorem. [1] [3]

  8. Talk:Gaussian elimination - Wikipedia

    en.wikipedia.org/wiki/Talk:Gaussian_elimination

    "The Gauss-Jordan (GJ) method is a variant of Gaussian elimination (GE). It differs in eliminating the unknown equations above the main diagonal as well as below the main diagonal. The Gauss-Jordan method is equivalent to the use of reduced row echelon form of linear algebra texts. GJ requires 50% more multiplication and division operation than ...

  9. Gauss-Jordan elimination - Wikipedia

    en.wikipedia.org/?title=Gauss-Jordan_elimination&...

    Pages for logged out editors learn more. Contributions; Talk; Gauss-Jordan elimination