subdiagonal matrix
1Shift matrix — In mathematics, a shift matrix is a binary matrix with ones only on the superdiagonal or subdiagonal, and zeroes elsewhere. A shift matrix U with ones on the superdiagonal is an upper shift matrix.The alternative subdiagonal matrix L is… …
2Orthogonal matrix — In linear algebra, an orthogonal matrix (less commonly called orthonormal matrix[1]), is a square matrix with real entries whose columns and rows are orthogonal unit vectors (i.e., orthonormal vectors). Equivalently, a matrix Q is orthogonal if… …
3Tridiagonal matrix — In linear algebra, a tridiagonal matrix is a matrix that is almost a diagonal matrix. To be exact: a tridiagonal matrix has nonzero elements only in the main diagonal, the first diagonal below this, and the first diagonal above the main… …
4Pascal matrix — In mathematics, particularly matrix theory and combinatorics, the Pascal matrix is an infinite matrix containing the binomial coefficients as its elements. There are 3 ways this can be achieved either as an upper triangular matrix, a lower… …
5Lehmer matrix — In mathematics, particularly matrix theory, the n×n Lehmer matrix is the constant symmetric matrix defined by:A {ij} =egin{cases}i/j, jge i j/i, j n . The values of elements diminish toward zero away from the diagonal, where all elements have… …
6Hessenberg matrix — In linear algebra, a Hessenberg matrix is one that is almost triangular. To be exact, an upper Hessenberg matrix has zero entries below the first subdiagonal, and a lower Hessenberg matrix has zero entries above the first superdiagonal. They are… …
7List of matrices — This page lists some important classes of matrices used in mathematics, science and engineering: Matrices in mathematics*(0,1) matrix a matrix with all elements either 0 or 1. Also called a binary matrix . *Adjugate matrix * Alternant matrix a… …
8Diagonal — For the avenue in Barcelona, see Avinguda Diagonal. The diagonals of a cube with side length 1. AC (shown in blue) is a space diagonal with length , while AC (shown in red) is a face diagonal and has length …
9QR decomposition — In linear algebra, the QR decomposition (also called the QR factorization) of a matrix is a decomposition of the matrix into an orthogonal and a right triangular matrix. The QR decomposition is often used to solve the linear least squares problem …
10Factorización QR — Saltar a navegación, búsqueda En álgebra lineal, la descomposición o factorización QR de una matriz es una descomposición de la misma como producto de una matriz ortogonal por una triangular superior. La descomposición QR es la base del algoritmo …
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