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CGGLSE(3F)							    CGGLSE(3F)


NAME    [Toc]    [Back]

     CGGLSE - solve the	linear equality-constrained least squares (LSE)
     problem

SYNOPSIS    [Toc]    [Back]

     SUBROUTINE	CGGLSE(	M, N, P, A, LDA, B, LDB, C, D, X, WORK,	LWORK, INFO )

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

	 COMPLEX	A( LDA,	* ), B(	LDB, * ), C( * ), D( * ), WORK(	* ),
			X( * )

PURPOSE    [Toc]    [Back]

     CGGLSE solves the linear equality-constrained least squares (LSE)
     problem:

	     minimize || c - A*x ||_2	subject	to   B*x = d

     where A is	an M-by-N matrix, B is a P-by-N	matrix,	c is a given M-vector,
     and d is a	given P-vector.	It is assumed that
     P <= N <= M+P, and

	      rank(B) =	P and  rank( ( A ) ) = N.
				   ( ( B ) )

     These conditions ensure that the LSE problem has a	unique solution, which
     is	obtained using a GRQ factorization of the matrices B and A.

ARGUMENTS    [Toc]    [Back]

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

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

     P	     (input) INTEGER
	     The number	of rows	of the matrix B. 0 <= P	<= N <=	M+P.

     A	     (input/output) COMPLEX array, dimension (LDA,N)
	     On	entry, the M-by-N matrix A.  On	exit, A	is destroyed.

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

     B	     (input/output) COMPLEX array, dimension (LDB,N)
	     On	entry, the P-by-N matrix B.  On	exit, B	is destroyed.

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





									Page 1






CGGLSE(3F)							    CGGLSE(3F)



     C	     (input/output) COMPLEX array, dimension (M)
	     On	entry, C contains the right hand side vector for the least
	     squares part of the LSE problem.  On exit,	the residual sum of
	     squares for the solution is given by the sum of squares of
	     elements N-P+1 to M of vector C.

     D	     (input/output) COMPLEX array, dimension (P)
	     On	entry, D contains the right hand side vector for the
	     constrained equation.  On exit, D is destroyed.

     X	     (output) COMPLEX array, dimension (N)
	     On	exit, X	is the solution	of the LSE problem.

     WORK    (workspace/output)	COMPLEX	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+N+P).  For
	     optimum performance LWORK >= P+min(M,N)+max(M,N)*NB, where	NB is
	     an	upper bound for	the optimal blocksizes for CGEQRF, CGERQF,
	     CUNMQR and	CUNMRQ.

     INFO    (output) INTEGER
	     = 0:  successful exit.
	     < 0:  if INFO = -i, the i-th argument had an illegal value.
CGGLSE(3F)							    CGGLSE(3F)


NAME    [Toc]    [Back]

     CGGLSE - solve the	linear equality-constrained least squares (LSE)
     problem

SYNOPSIS    [Toc]    [Back]

     SUBROUTINE	CGGLSE(	M, N, P, A, LDA, B, LDB, C, D, X, WORK,	LWORK, INFO )

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

	 COMPLEX	A( LDA,	* ), B(	LDB, * ), C( * ), D( * ), WORK(	* ),
			X( * )

PURPOSE    [Toc]    [Back]

     CGGLSE solves the linear equality-constrained least squares (LSE)
     problem:

	     minimize || c - A*x ||_2	subject	to   B*x = d

     where A is	an M-by-N matrix, B is a P-by-N	matrix,	c is a given M-vector,
     and d is a	given P-vector.	It is assumed that
     P <= N <= M+P, and

	      rank(B) =	P and  rank( ( A ) ) = N.
				   ( ( B ) )

     These conditions ensure that the LSE problem has a	unique solution, which
     is	obtained using a GRQ factorization of the matrices B and A.

ARGUMENTS    [Toc]    [Back]

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

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

     P	     (input) INTEGER
	     The number	of rows	of the matrix B. 0 <= P	<= N <=	M+P.

     A	     (input/output) COMPLEX array, dimension (LDA,N)
	     On	entry, the M-by-N matrix A.  On	exit, A	is destroyed.

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

     B	     (input/output) COMPLEX array, dimension (LDB,N)
	     On	entry, the P-by-N matrix B.  On	exit, B	is destroyed.

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





									Page 1






CGGLSE(3F)							    CGGLSE(3F)



     C	     (input/output) COMPLEX array, dimension (M)
	     On	entry, C contains the right hand side vector for the least
	     squares part of the LSE problem.  On exit,	the residual sum of
	     squares for the solution is given by the sum of squares of
	     elements N-P+1 to M of vector C.

     D	     (input/output) COMPLEX array, dimension (P)
	     On	entry, D contains the right hand side vector for the
	     constrained equation.  On exit, D is destroyed.

     X	     (output) COMPLEX array, dimension (N)
	     On	exit, X	is the solution	of the LSE problem.

     WORK    (workspace/output)	COMPLEX	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+N+P).  For
	     optimum performance LWORK >= P+min(M,N)+max(M,N)*NB, where	NB is
	     an	upper bound for	the optimal blocksizes for CGEQRF, CGERQF,
	     CUNMQR and	CUNMRQ.

     INFO    (output) INTEGER
	     = 0:  successful exit.
	     < 0:  if INFO = -i, the i-th argument had an illegal value.


									PPPPaaaaggggeeee 2222
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