computes a complete orthogonal decomposition
computes a complete orthogonal decomposition by Householder transformations
finds a convex hull of a set of planar points
computes the determinant of a square matrix
reduces a matrix to row-echelon normal form
computes eigenvalues and eigenvectors
computes eigenvalues
computes eigenvectors
computes eigenvalues and eigenvectors of a generalized eigenproblem
computes a generalized inverse
computes the Gram-Schmidt orthonormalization
computes the Cholesky decomposition
generates a Hankel matrix
performs a horizontal direct product
reduces a matrix to Hermite normal form
solves homogeneous linear systems
computes the inverse
updates a matrix inverse
solves a sparse general linear system by iteration
provides updating and downdating for rank-deficient linear least squares solutions, complete orthogonal factorization, and Moore-Penrose inverses
computes the QR decomposition of a matrix by Householder transformations
downdates and updates QR and Cholesky decompositions
performs the Cholesky decomposition of a matrix
updates QR and Cholesky decompositions
updates QR and Cholesky decompositions
solves a system of linear equations
solves a sparse symmetric system of linear equations by direct decomposition
computes the singular value decomposition
generates a Toeplitz or block-Toeplitz matrix
sums diagonal elements
solves linear systems with triangular matrices
performs extended-precision matrix multiplication