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

NAME
       DGESVD  -  computes the singular value decomposition (SVD) of a real M-
       by-N matrix A, optionally computing the left and/or right singular vec‐
       tors

SYNOPSIS
       SUBROUTINE DGESVD( JOBU,	 JOBVT,	 M,  N,	 A,  LDA, S, U, LDU, VT, LDVT,
			  WORK, LWORK, INFO )

	   CHARACTER	  JOBU, JOBVT

	   INTEGER	  INFO, LDA, LDU, LDVT, LWORK, M, N

	   DOUBLE	  PRECISION A( LDA, * ), S( * ),  U(  LDU,  *  ),  VT(
			  LDVT, * ), WORK( * )

PURPOSE
       DGESVD computes the singular value decomposition (SVD) of a real M-by-N
       matrix A, optionally computing the left and/or right singular  vectors.
       The SVD is written
	    A = U * SIGMA * transpose(V)
       where  SIGMA  is an M-by-N matrix which is zero except for its min(m,n)
       diagonal elements, U is an M-by-M orthogonal matrix, and V is an N-by-N
       orthogonal  matrix.   The  diagonal  elements of SIGMA are the singular
       values of A; they are  real  and	 non-negative,	and  are  returned  in
       descending  order.   The first min(m,n) columns of U and V are the left
       and right singular vectors of A.
       Note that the routine returns V**T, not V.

ARGUMENTS
       JOBU    (input) CHARACTER*1
	       Specifies options for computing all or part of the matrix U:
	       = 'A':  all M columns of U are returned in array U:
	       = 'S':  the first min(m,n) columns of U (the left singular vec‐
	       tors)  are  returned in the array U; = 'O':  the first min(m,n)
	       columns of U (the left singular vectors) are overwritten on the
	       array A; = 'N':	no columns of U (no left singular vectors) are
	       computed.

       JOBVT   (input) CHARACTER*1
	       Specifies options for computing all or part of the matrix V**T:
	       = 'A':  all N rows of V**T are returned in the array VT;
	       = 'S':  the first min(m,n) rows of  V**T	 (the  right  singular
	       vectors)	 are  returned	in  the	 array	VT;  = 'O':  the first
	       min(m,n) rows of V**T (the right singular  vectors)  are	 over‐
	       written	on the array A; = 'N':	no rows of V**T (no right sin‐
	       gular vectors) are computed.  JOBVT and	JOBU  cannot  both  be
	       'O'.

       M       (input) INTEGER
	       The number of rows of the input matrix A.  M >= 0.

       N       (input) INTEGER
	       The number of columns of the input matrix A.  N >= 0.

       A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
	       On  entry,  the M-by-N matrix A.	 On exit, if JOBU = 'O',  A is
	       overwritten with the first min(m,n) columns of U (the left sin‐
	       gular  vectors,	stored columnwise); if JOBVT = 'O', A is over‐
	       written with the first min(m,n) rows of V**T (the right	singu‐
	       lar  vectors,  stored rowwise); if JOBU .ne. 'O' and JOBVT .ne.
	       'O', the contents of A are destroyed.

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

       S       (output) DOUBLE PRECISION array, dimension (min(M,N))
	       The singular values of A, sorted so that S(i) >= S(i+1).

       U       (output) DOUBLE PRECISION array, dimension (LDU,UCOL)
	       (LDU,M) if JOBU = 'A' or (LDU,min(M,N)) if JOBU = 'S'.  If JOBU
	       =  'A',	U  contains  the M-by-M orthogonal matrix U; if JOBU =
	       'S', U contains the first min(m,n) columns of U (the left  sin‐
	       gular  vectors,	stored columnwise); if JOBU = 'N' or 'O', U is
	       not referenced.

       LDU     (input) INTEGER
	       The leading dimension of the array U.  LDU >= 1; if JOBU =  'S'
	       or 'A', LDU >= M.

       VT      (output) DOUBLE PRECISION array, dimension (LDVT,N)
	       If  JOBVT = 'A', VT contains the N-by-N orthogonal matrix V**T;
	       if JOBVT = 'S', VT contains the first  min(m,n)	rows  of  V**T
	       (the right singular vectors, stored rowwise); if JOBVT = 'N' or
	       'O', VT is not referenced.

       LDVT    (input) INTEGER
	       The leading dimension of the array VT.  LDVT >= 1; if  JOBVT  =
	       'A', LDVT >= N; if JOBVT = 'S', LDVT >= min(M,N).

       WORK	  (workspace/output)   DOUBLE	PRECISION   array,   dimension
       (MAX(1,LWORK))
	       On exit, if INFO = 0, WORK(1) returns  the  optimal  LWORK;  if
	       INFO > 0, WORK(2:MIN(M,N)) contains the unconverged superdiago‐
	       nal elements of an upper bidiagonal matrix B whose diagonal  is
	       in  S  (not necessarily sorted). B satisfies A = U * B * VT, so
	       it has the same singular values	as  A,	and  singular  vectors
	       related by U and VT.

       LWORK   (input) INTEGER
	       The    dimension	   of	 the	array	 WORK.	   LWORK    >=
	       MAX(1,3*MIN(M,N)+MAX(M,N),5*MIN(M,N)).  For  good  performance,
	       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:   if  DBDSQR  did	not  converge, INFO specifies how many
	       superdiagonals of an intermediate bidiagonal  form  B  did  not
	       converge	 to  zero.  See	 the  description  of  WORK  above for
	       details.

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