Intel® Math Kernel Library


Computes all eigenvalues and, optionally, eigenvectors of a complex generalized Hermitian positive-definite eigenproblem with matrices in packed storage.

Auxiliary Routines

Routine naming conventions, mathematical notation, and matrix storage schemes used for LAPACK auxiliary routines are the same as for the driver and computational routines described in previous chapters.


Returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a complex Hermitian matrix.


Generates a plane rotation designed to introduce a bulge in implicit QR iteration for the bidiagonal SVD problem.


Copies a triangular matrix from the rectangular full packed format (TF) to the standard packed format (TP) .


Computes the Cholesky factorization of a symmetric (Hermitian) positive-definite tridiagonal distributed matrix.

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