Visible to Intel only — GUID: GUID-1B333271-FE8C-4A98-8A70-F0FC29925BA1
Visible to Intel only — GUID: GUID-1B333271-FE8C-4A98-8A70-F0FC29925BA1
?potri
Computes the inverse of a symmetric (Hermitian) positive-definite matrix using the Cholesky factorization.
Syntax
lapack_int LAPACKE_spotri (int matrix_layout , char uplo , lapack_int n , float * a , lapack_int lda );
lapack_int LAPACKE_dpotri (int matrix_layout , char uplo , lapack_int n , double * a , lapack_int lda );
lapack_int LAPACKE_cpotri (int matrix_layout , char uplo , lapack_int n , lapack_complex_float * a , lapack_int lda );
lapack_int LAPACKE_zpotri (int matrix_layout , char uplo , lapack_int n , lapack_complex_double * a , lapack_int lda );
Include Files
- mkl.h
Description
The routine computes the inverse inv(A) of a symmetric positive definite or, for complex flavors, Hermitian positive-definite matrix A. Before calling this routine, call ?potrf to factorize A.
Input Parameters
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', the upper triangle of A is stored. If uplo = 'L', the lower triangle of A is stored. |
n |
The order of the matrix A; n≥ 0. |
a |
Array a(size max(1, lda*n)). Contains the factorization of the matrix A, as returned by ?potrf. |
lda |
The leading dimension of a. lda≥ max(1, n). |
Output Parameters
a |
Overwritten by the upper or lower triangle of the inverse of A. |
Return Values
This function returns a value info.
If info = 0, the execution is successful.
If info = -i, parameter i had an illegal value.
If info = i, the i-th diagonal element of the Cholesky factor (and therefore the factor itself) is zero, and the inversion could not be completed.
Application Notes
The computed inverse X satisfies the following error bounds:
||XA - I||2 ≤ c(n)ε κ 2(A), ||AX - I||2 ≤ c(n)ε κ 2(A),
where c(n) is a modest linear function of n, and ε is the machine precision; I denotes the identity matrix.
The 2-norm ||A||2 of a matrix A is defined by ||A||2 = maxx·x=1(Ax·Ax)1/2, and the condition number κ2(A) is defined by κ2(A) = ||A||2 ||A-1||2.
The total number of floating-point operations is approximately (2/3)n3 for real flavors and (8/3)n3 for complex flavors.