dggglm man page on Scientific

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

NAME
       DGGGLM - solves a general Gauss-Markov linear model (GLM) problem

SYNOPSIS
       SUBROUTINE DGGGLM( N,  M, P, A, LDA, B, LDB, D, X, Y, WORK, LWORK, INFO
			  )

	   INTEGER	  INFO, LDA, LDB, LWORK, M, N, P

	   DOUBLE	  PRECISION A( LDA, * ), B( LDB, * ), D( * ), WORK(  *
			  ), X( * ), Y( * )

PURPOSE
       DGGGLM solves a general Gauss-Markov linear model (GLM) problem:
	       minimize || y ||_2   subject to	 d = A*x + B*y
		   x
       where A is an N-by-M matrix, B is an N-by-P matrix, and d is a given N-
       vector. It is assumed that M <= N <= M+P, and
		  rank(A) = M	 and	rank( A B ) = N.
       Under these assumptions, the constrained equation is always consistent,
       and there is a unique solution x and a minimal 2-norm solution y, which
       is obtained using a generalized QR factorization of the matrices (A, B)
       given by
	  A = Q*(R),   B = Q*T*Z.
		(0)
       In  particular, if matrix B is square nonsingular, then the problem GLM
       is equivalent to the following weighted linear least squares problem
		    minimize || inv(B)*(d-A*x) ||_2
			x
       where inv(B) denotes the inverse of B.

ARGUMENTS
       N       (input) INTEGER
	       The number of rows of the matrices A and B.  N >= 0.

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

       P       (input) INTEGER
	       The number of columns of the matrix B.  P >= N-M.

       A       (input/output) DOUBLE PRECISION array, dimension (LDA,M)
	       On entry, the N-by-M matrix A.  On exit, the  upper  triangular
	       part of the array A contains the M-by-M upper triangular matrix
	       R.

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

       B       (input/output) DOUBLE PRECISION array, dimension (LDB,P)
	       On entry, the N-by-P matrix B.  On exit, if N <= P,  the	 upper
	       triangle	 of  the  subarray  B(1:N,P-N+1:P) contains the N-by-N
	       upper triangular matrix T; if N > P, the elements on and	 above
	       the  (N-P)th  subdiagonal  contain the N-by-P upper trapezoidal
	       matrix T.

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

       D       (input/output) DOUBLE PRECISION array, dimension (N)
	       On entry, D is the left hand side  of  the  GLM	equation.   On
	       exit, D is destroyed.

       X       (output) DOUBLE PRECISION array, dimension (M)
	       Y       (output) DOUBLE PRECISION array, dimension (P) On exit,
	       X and Y are the solutions of the GLM problem.

       WORK	 (workspace/output)   DOUBLE   PRECISION   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 >= max(1,N+M+P).  For
	       optimum performance, LWORK >= M+min(N,P)+max(N,P)*NB, where  NB
	       is  an  upper  bound  for  the  optimal	blocksizes for DGEQRF,
	       SGERQF, DORMQR and SORMRQ.  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.
	       = 1:  the upper triangular factor R associated with  A  in  the
	       generalized QR factorization of the pair (A, B) is singular, so
	       that rank(A) < M; the least squares solution could not be  com‐
	       puted.	=  2:	the  bottom  (N-M)  by (N-M) part of the upper
	       trapezoidal factor T associated with B in  the  generalized  QR
	       factorization of the pair (A, B) is singular, so that rank( A B
	       ) < N; the least squares solution could not be computed.

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