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SGELSS(1)	      LAPACK driver routine (version 3.2)	     SGELSS(1)

NAME
       SGELSS  -  computes  the	 minimum  norm solution to a real linear least
       squares problem

SYNOPSIS
       SUBROUTINE SGELSS( M, N, NRHS, A, LDA, B, LDB, S,  RCOND,  RANK,	 WORK,
			  LWORK, INFO )

	   INTEGER	  INFO, LDA, LDB, LWORK, M, N, NRHS, RANK

	   REAL		  RCOND

	   REAL		  A( LDA, * ), B( LDB, * ), S( * ), WORK( * )

PURPOSE
       SGELSS  computes	 the  minimum  norm  solution  to  a real linear least
       squares problem: Minimize 2-norm(| b - A*x |).
       using the singular value decomposition (SVD)  of	 A.  A	is  an	M-by-N
       matrix which may be rank-deficient.
       Several right hand side vectors b and solution vectors x can be handled
       in a single call; they are stored as the columns of the M-by-NRHS right
       hand side matrix B and the N-by-NRHS solution matrix X.
       The  effective rank of A is determined by treating as zero those singu‐
       lar values which are less than RCOND times the largest singular value.

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.

       NRHS    (input) INTEGER
	       The number of right hand sides, i.e., the number of columns  of
	       the matrices B and X. NRHS >= 0.

       A       (input/output) REAL array, dimension (LDA,N)
	       On  entry,  the	M-by-N	matrix A.  On exit, the first min(m,n)
	       rows of A are overwritten  with	its  right  singular  vectors,
	       stored rowwise.

       LDA     (input) INTEGER
	       The leading dimension of the array A.  LDA >= max(1,M).

       B       (input/output) REAL array, dimension (LDB,NRHS)
	       On  entry,  the M-by-NRHS right hand side matrix B.  On exit, B
	       is overwritten by the N-by-NRHS solution matrix X.  If m	 >=  n
	       and  RANK  = n, the residual sum-of-squares for the solution in
	       the i-th column is given by the	sum  of	 squares  of  elements
	       n+1:m in that column.

       LDB     (input) INTEGER
	       The leading dimension of the array B. LDB >= max(1,max(M,N)).

       S       (output) REAL array, dimension (min(M,N))
	       The  singular  values  of A in decreasing order.	 The condition
	       number of A in the 2-norm = S(1)/S(min(m,n)).

       RCOND   (input) REAL
	       RCOND is used to determine the effective rank of	 A.   Singular
	       values  S(i)  <= RCOND*S(1) are treated as zero.	 If RCOND < 0,
	       machine precision is used instead.

       RANK    (output) INTEGER
	       The effective rank of A, i.e., the number  of  singular	values
	       which are greater than RCOND*S(1).

       WORK    (workspace/output) REAL array, dimension (MAX(1,LWORK))
	       On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

       LWORK   (input) INTEGER
	       The dimension of the array WORK. LWORK >= 1, and also: LWORK >=
	       3*min(M,N) + max( 2*min(M,N), max(M,N), NRHS ) For good perfor‐
	       mance, LWORK should generally be larger.	 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.
	       >  0:   the algorithm for computing the SVD failed to converge;
	       if INFO = i, i off-diagonal elements of an intermediate bidiag‐
	       onal form did not converge to zero.

 LAPACK driver routine (version 3November 2008			     SGELSS(1)
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