Visible to Intel only — GUID: GUID-65301377-3A94-4C5E-BCF5-33691A0323FE
Visible to Intel only — GUID: GUID-65301377-3A94-4C5E-BCF5-33691A0323FE
?ppcon
Estimates the reciprocal of the condition number of a packed symmetric (Hermitian) positive-definite matrix.
lapack_int LAPACKE_sppcon( int matrix_layout, char uplo, lapack_int n, const float* ap, float anorm, float* rcond );
lapack_int LAPACKE_dppcon( int matrix_layout, char uplo, lapack_int n, const double* ap, double anorm, double* rcond );
lapack_int LAPACKE_cppcon( int matrix_layout, char uplo, lapack_int n, const lapack_complex_float* ap, float anorm, float* rcond );
lapack_int LAPACKE_zppcon( int matrix_layout, char uplo, lapack_int n, const lapack_complex_double* ap, double anorm, double* rcond );
- mkl.h
The routine estimates the reciprocal of the condition number of a packed symmetric (Hermitian) positive-definite matrix A:
κ1(A) = ||A||1 ||A-1||1 (since A is symmetric or Hermitian, κ∞(A) = κ1(A)).
An estimate is obtained for ||A-1||, and the reciprocal of the condition number is computed as rcond = 1 / (||A|| ||A-1||).
Before calling this routine:
compute anorm (either ||A||1 = maxjΣi |aij| or ||A||∞ = maxiΣj |aij|)
call ?pptrf to compute the Cholesky factorization of A.
matrix_layout |
Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR). |
uplo |
Must be 'U' or 'L'. Indicates how the input matrix A has been factored: If uplo = 'U', A is factored as A = UT*U for real flavors or A = UH*U for complex flavors, and U is stored. If uplo = 'L', A is factored as A = L*LT for real flavors or A = L*LH for complex flavors, and L is stored. |
n |
The order of the matrix A; n≥ 0. |
ap |
The array ap contains the packed factored matrix A, as returned by ?pptrf. The dimension of ap must be at least max(1,n(n+1)/2). |
anorm |
The norm of the original matrix A (see Description). |
rcond |
An estimate of the reciprocal of the condition number. The routine sets rcond =0 if the estimate underflows; in this case the matrix is singular (to working precision). However, anytime rcond is small compared to 1.0, for the working precision, the matrix may be poorly conditioned or even singular. |
This function returns a value info.
If info = 0, the execution is successful.
If info = -i, parameter i had an illegal value.
The computed rcond is never less than r (the reciprocal of the true condition number) and in practice is nearly always less than 10r. A call to this routine involves solving a number of systems of linear equations A*x = b; the number is usually 4 or 5 and never more than 11. Each solution requires approximately 2n2 floating-point operations for real flavors and 8n2 for complex flavors.