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sgerq2 (3)
  • >> sgerq2 (3) ( Solaris man: Библиотечные вызовы )
  • 
    NAME
         sgerq2 - compute an RQ factorization of a real m by n matrix
         A
    
    SYNOPSIS
         SUBROUTINE SGERQ2( M, N, A, LDA, TAU, WORK, INFO )
    
         INTEGER INFO, LDA, M, N
    
         REAL A( LDA, * ), TAU( * ), WORK( * )
    
    
    
         #include <sunperf.h>
    
         void sgerq2(int m, int n, float *sa, int  lda,  float  *tau,
                   int *info) ;
    
    PURPOSE
         SGERQ2 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) REAL 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  tra-
                   pezoidal  matrix  R;  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 Details).
    
         WORK      (workspace) REAL array, dimension (M)
    
         INFO      (output) INTEGER
                   = 0: successful exit
                   < 0: if INFO = -i, the i-th argument had an  ille-
                   gal 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).
    
    
    
    


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