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Class org.netlib.lapack.Dgerqf

java.lang.Object
   |
   +----org.netlib.lapack.Dgerqf

public class Dgerqf

extends Object

Following is the description from the original
Fortran source.  For each array argument, the Java
version will include an integer offset parameter, so
the arguments may not match the description exactly.
Contact seymour@cs.utk.edu with any questions.

 *     ..
 *
 *  Purpose
 *  =======
 *
 *  DGERQF computes an RQ factorization of a real M-by-N matrix A:
 *  A = R * Q.
 *
 *  Arguments
 *  =========
 *
 *  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) DOUBLE PRECISION array, dimension (LDA,N)
 *          On entry, the M-by-N matrix A.
 *          On exit,
 *          if m <= n, the upper triangle of the subarray
 *          A(1:m,n-m+1:n) contains the M-by-M upper triangular matrix R;
 *          if m >= n, the elements on and above the (m-n)-th subdiagonal
 *          contain the M-by-N upper trapezoidal matrix R;
 *          the remaining elements, with the array TAU, represent the
 *          orthogonal matrix Q as a product of min(m,n) elementary
 *          reflectors (see Further Details).
 *
 *  LDA     (input) INTEGER
 *          The leading dimension of the array A.  LDA >= max(1,M).
 *
 *  TAU     (output) DOUBLE PRECISION array, dimension (min(M,N))
 *          The scalar factors of the elementary reflectors (see Further
 *          Details).
 *
 *  WORK    (workspace/output) DOUBLE PRECISION 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,M).
 *          For optimum performance LWORK >= M*NB, where NB is
 *          the optimal blocksize.
 *
 *  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(1) H(2) . . . H(k), 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(n-k+i+1:n) = 0 and v(n-k+i) = 1; v(1:n-k+i-1) is stored on exit in
 *  A(m-k+i,1:n-k+i-1), and tau in TAU(i).
 *
 *  =====================================================================
 *
 *     .. Local Scalars ..

Dgerqf()

dgerqf(int, int, double[], int, int, double[], int, double[], int, int, intW)

 public Dgerqf()

 public static void dgerqf(int m,
                           int n,
                           double a[],
                           int _a_offset,
                           int lda,
                           double tau[],
                           int _tau_offset,
                           double work[],
                           int _work_offset,
                           int lwork,
                           intW info)

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