Usage Example for 1-dimensional Arrays
This section describes the ScaLAPACK routines for matrix factorization. The following factorizations are supported:
LU factorization of general matrices
LU factorization of diagonally dominant-like matrices
Cholesky factorization of real symmetric or complex Hermitian positive-definite matrices
You can compute the factorizations using full and band storage of matrices.
Enables dispatching for new Intel® architectures or restricts the set of Intel® instruction sets available for dispatching.
Solves a system of linear equations with a triangular distributed matrix.
Receives a message from the process into the general rectangular matrix.
Computes the QR factorization of a general m-by-n matrix.
Frees BLACS buffer.
Generates the unitary matrix Q of the RQ factorization formed by p?gerqf.
You can get Fortran source code in the .\examples\datafittingf subdirectory of the Intel MKL installation directory.
Reduces a Hermitian matrix to Hermitian tridiagonal form by a unitary similarity transformation.