Intel® oneAPI Math Kernel Library Developer Reference - C
Computes the QR factorization of a general m-by-n matrix with column pivoting using level 3 BLAS.
lapack_int LAPACKE_sgeqp3 (int matrix_layout, lapack_int m, lapack_int n, float* a, lapack_int lda, lapack_int* jpvt, float* tau);
lapack_int LAPACKE_dgeqp3 (int matrix_layout, lapack_int m, lapack_int n, double* a, lapack_int lda, lapack_int* jpvt, double* tau);
lapack_int LAPACKE_cgeqp3 (int matrix_layout, lapack_int m, lapack_int n, lapack_complex_float* a, lapack_int lda, lapack_int* jpvt, lapack_complex_float* tau);
lapack_int LAPACKE_zgeqp3 (int matrix_layout, lapack_int m, lapack_int n, lapack_complex_double* a, lapack_int lda, lapack_int* jpvt, lapack_complex_double* tau);
The routine forms the QR factorization of a general m-by-n matrix A with column pivoting: A*P = Q*R (see Orthogonal Factorizations) using Level 3 BLAS. Here P denotes an n-by-n permutation matrix. Use this routine instead of geqpf for better performance.
The routine does not form the matrix Q explicitly. Instead, Q is represented as a product of min(m, n) elementary reflectors. Routines are provided to work with Q in this representation.
Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).
The number of rows in the matrix A (m≥ 0).
The number of columns in A (n≥ 0).
Array a of size max(1, lda*n) for column major layout and max(1, lda*m) for row major layout contains the matrix A.
The leading dimension of a; at least max(1, m)for column major layout and max(1, n) for row major layout.
Array, size at least max(1, n).
On entry, if jpvt[i - 1]≠ 0, the i-th column of A is moved to the beginning of AP before the computation, and fixed in place during the computation.
If jpvt[i - 1] = 0, the i-th column of A is a free column (that is, it may be interchanged during the computation with any other free column).
Overwritten by the factorization data as follows:
The elements on and above the diagonal of the array contain the min(m,n)-by-n upper trapezoidal matrix R (R is upper triangular if m≥n); the elements below the diagonal, with the array tau, present the orthogonal matrix Q as a product of min(m,n) elementary reflectors (see Orthogonal Factorizations).
Array, size at least max (1, min(m, n)). Contains scalar factors of the elementary reflectors for the matrix Q.
Overwritten by details of the permutation matrix P in the factorization A*P = Q*R. More precisely, the columns of AP are the columns of A in the following order:
jpvt[0], jpvt[1], ..., jpvt[n - 1].
This function returns a value info.
If info=0, the execution is successful.
If info = -i, the i-th parameter had an illegal value.
To solve a set of least squares problems minimizing ||A*x - b||2 for all columns b of a given matrix B, you can call the following:
?geqp3 (this routine) |
to factorize A*P = Q*R; |
to compute C = QT*B (for real matrices); |
|
to compute C = QH*B (for complex matrices); |
|
trsm (a BLAS routine) |
to solve R*X = C. |
(The columns of the computed X are the permuted least squares solution vectors x; the output array jpvt specifies the permutation order.)
To compute the elements of Q explicitly, call