This package contains functions to call routines from software library LAPACK (Linear Algebra PACKage) aimed for numerical linear algebra. The library is provided by Netlib Repository.
Name | Description |
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dgecon | Estimates the reciprocal of the condition number of a general real matrix A |
dgees | Computes real Schur form T of real nonsymmetric matrix A, and, optionally, the matrix of Schur vectors Z as well as the eigenvalues |
dgeev | Compute the eigenvalues and the (real) left and right eigenvectors of matrix A |
dgeev_eigenValues | Compute the eigenvalues of matrix A |
dgeevx | Compute the eigenvalues and the (real) left and right eigenvectors of matrix A, using lapack routine dgeevx (includes balancing of A) |
dgeevx_eigenValues | Compute the eigenvalues of matrix A, using lapack routine dgeevx (with balancing) |
dgegv | Compute generalized eigenvalues for a (A,B) system |
dgehrd | Reduces a real general matrix A to upper Hessenberg form H by an orthogonal similarity transformation: Q' * A * Q = H |
dgeqp3 | Computes a QR factorization with column pivoting |
dgeqrf | Computes a QR factorization without pivoting |
dgesdd | Determine singular value decomposition |
dgesvd | Determine singular value decomposition |
dgesvx | Solve real system of linear equations op(A) * X = B, op(A) is A or A' according to the boolean input transposed |
dgetrs | Solves a system of linear equations with the LU decomposition from dgetrf(..) |
dggev | Compute generalized eigenvalues for a (A,B) system |
dggev_eigenValues | Compute only generalized eigenvalues for a (A,B) system |
dggevx | Compute generalized eigenvalues for a (A,B) system, using lapack routine dggevx |
dhgeqz | Compute generalized eigenvalues for a (A,B) system |
dhseqr | Compute eingenvalues of a matrix A using lapack routine DHSEQR for Hessenberg form matrix |
dlange | Norm of a matrix |
dlansy | Norm of a symmetric matrix |
dorghr | Generates a real orthogonal matrix Q which is defined as the product of IHI-ILO elementary reflectors of order N, as returned by DGEHRD |
dorgqr | Generate a real orthogonal matrix Q which is defined as the product of elementary reflectors, as returned by DGEQRF |
dorgqr_x | Generates a real orthogonal matrix Q which is defined as the product of elementary reflectors, as returned by DGEQRF |
dormhr | Overwrites the general real M-by-N matrix C with Q * C or C * Q or Q' * C or C * Q', where Q is an orthogonal matrix as returne by dgehrd |
dormqr | Overwrites the general real M-by-N matrix C with Q * C or C * Q or Q' * C or C * Q', where Q is an orthogonal matrix of a QR factorization as returned by dgeqrf |
dtrevc | Compute the right and/or left eigenvectors of a real upper quasi-triangular matrix T |
dtrsen | DTRSEN reorders the real Schur factorization of a real matrix |
dtrsyl | DTRSYL solves the real Sylvester matrix equation |
dgelsx | Computes the minimum-norm solution to a real linear least squares problem with rank deficient A |
dgemm | Blas algorithm to perform C:=a*op(A)*op(B) + b*C (a,b scalars, ABC matrices) |
dpotrf | Computes the Cholesky factorization of a real symmetric positive definite matrix A |
dtrmm | Blas algorithm to perform B := alpha*op( A )*B, or B := alpha*B*op( A ) with triangular matrix A |
dtrsm | Solve one of the matrix equations op( A )*X = alpha*B, or X*op( A ) = alpha*B, where A is triangular matrix. BLAS routine |
drot | Applies a plane rotation |
drotg | Construct Givens plane rotation |
dtrsv | Solve one of the matrix equations op( A )*x = B where A is upper or lower triangular matrix. BLAS routine |
dposv | Compute the solution to A * X = B, where A is a symmetric positive definite matrix |
dpocon | Estimates the reciprocal of the condition number (1-norm) of a real symmetric matrix A using the Cholesky factor |
dgelqf | Compute LQ factorization of a real matrix A=L*Q |
dorglq | Generate a matrix Q with orthonormal rows which is defined as the product of elementary reflectors, as returned by DGELQF |
dtrtri | Computes the inverse of a triangular real matrix A |