Computes the LQ factorization of a general m-by-n matrix.
Computes the Bunch-Kaufman factorization of a symmetric matrix using packed storage.
Creates a new convolution or correlation task descriptor for one-dimensional case.
Uses divide and conquer algorithm to compute all eigenvalues and (optionally) all eigenvectors of a real symmetric matrix held in packed storage.
Computes four-quadrant inverse tangent of elements of two vectors.
Changes the value of the parameter start in the convolution or correlation task descriptor.
Computes the dot product of two distributed real vectors.
Solves a system of linear equations with a UDUT- or LDLT-factored symmetric coefficient matrix.
Computes the forward FFT.