public class SGEQLF
- extends java.lang.Object
SGEQLF is a simplified interface to the JLAPACK routine sgeqlf.
This interface converts Java-style 2D row-major arrays into
the 1D column-major linearized arrays expected by the lower
level JLAPACK routines. Using this interface also allows you
to omit offset and leading dimension arguments. However, because
of these conversions, these routines will be slower than the low
level ones. Following is the description from the original Fortran
source. Contact email@example.com with any questions.
* SGEQLF computes a QL factorization of a real M-by-N matrix A:
* A = Q * L.
* M (input) INTEGER
* The number of rows of the matrix A. M >= 0.
* N (input) INTEGER
* The number of columns of the matrix A. N >= 0.
* A (input/output) REAL array, dimension (LDA,N)
* On entry, the M-by-N matrix A.
* On exit,
* if m >= n, the lower triangle of the subarray
* A(m-n+1:m,1:n) contains the N-by-N lower triangular matrix L;
* if m <= n, the elements on and below the (n-m)-th
* superdiagonal contain the M-by-N lower trapezoidal matrix L;
* the remaining elements, with the array TAU, represent the
* orthogonal matrix Q as a product of elementary reflectors
* (see Further Details).
* LDA (input) INTEGER
* The leading dimension of the array A. LDA >= max(1,M).
* TAU (output) REAL array, dimension (min(M,N))
* The scalar factors of the elementary reflectors (see Further
* WORK (workspace/output) REAL array, dimension (LWORK)
* On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
* LWORK (input) INTEGER
* The dimension of the array WORK. LWORK >= max(1,N).
* For optimum performance LWORK >= N*NB, where NB is the
* optimal blocksize.
* If LWORK = -1, then a workspace query is assumed; the routine
* only calculates the optimal size of the WORK array, returns
* this value as the first entry of the WORK array, and no error
* message related to LWORK is issued by XERBLA.
* INFO (output) INTEGER
* = 0: successful exit
* < 0: if INFO = -i, the i-th argument had an illegal value
* Further Details
* The matrix Q is represented as a product of elementary reflectors
* Q = H(k) . . . H(2) H(1), where k = min(m,n).
* Each H(i) has the form
* H(i) = I - tau * v * v'
* where tau is a real scalar, and v is a real vector with
* v(m-k+i+1:m) = 0 and v(m-k+i) = 1; v(1:m-k+i-1) is stored on exit in
* A(1:m-k+i-1,n-k+i), and tau in TAU(i).
* .. Local Scalars ..
|Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
public static void SGEQLF(int m,