dynare/mex/sources/libslicot/MB02YD.f

372 lines
12 KiB
Fortran

SUBROUTINE MB02YD( COND, N, R, LDR, IPVT, DIAG, QTB, RANK, X, TOL,
$ DWORK, LDWORK, INFO )
C
C SLICOT RELEASE 5.0.
C
C Copyright (c) 2002-2009 NICONET e.V.
C
C This program is free software: you can redistribute it and/or
C modify it under the terms of the GNU General Public License as
C published by the Free Software Foundation, either version 2 of
C the License, or (at your option) any later version.
C
C This program is distributed in the hope that it will be useful,
C but WITHOUT ANY WARRANTY; without even the implied warranty of
C MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
C GNU General Public License for more details.
C
C You should have received a copy of the GNU General Public License
C along with this program. If not, see
C <http://www.gnu.org/licenses/>.
C
C PURPOSE
C
C To determine a vector x which solves the system of linear
C equations
C
C A*x = b , D*x = 0 ,
C
C in the least squares sense, where A is an m-by-n matrix,
C D is an n-by-n diagonal matrix, and b is an m-vector.
C It is assumed that a QR factorization, with column pivoting, of A
C is available, that is, A*P = Q*R, where P is a permutation matrix,
C Q has orthogonal columns, and R is an upper triangular matrix
C with diagonal elements of nonincreasing magnitude.
C The routine needs the full upper triangle of R, the permutation
C matrix P, and the first n components of Q'*b (' denotes the
C transpose). The system A*x = b, D*x = 0, is then equivalent to
C
C R*z = Q'*b , P'*D*P*z = 0 , (1)
C
C where x = P*z. If this system does not have full rank, then a
C least squares solution is obtained. On output, MB02YD also
C provides an upper triangular matrix S such that
C
C P'*(A'*A + D*D)*P = S'*S .
C
C The system (1) is equivalent to S*z = c , where c contains the
C first n components of the vector obtained by applying to
C [ (Q'*b)' 0 ]' the transformations which triangularized
C [ R' P'*D*P ]', getting S.
C
C ARGUMENTS
C
C Mode Parameters
C
C COND CHARACTER*1
C Specifies whether the condition of the matrix S should be
C estimated, as follows:
C = 'E' : use incremental condition estimation and store
C the numerical rank of S in RANK;
C = 'N' : do not use condition estimation, but check the
C diagonal entries of S for zero values;
C = 'U' : use the rank already stored in RANK.
C
C Input/Output Parameters
C
C N (input) INTEGER
C The order of the matrix R. N >= 0.
C
C R (input/output) DOUBLE PRECISION array, dimension (LDR, N)
C On entry, the leading N-by-N upper triangular part of this
C array must contain the upper triangular matrix R.
C On exit, the full upper triangle is unaltered, and the
C strict lower triangle contains the strict upper triangle
C (transposed) of the upper triangular matrix S.
C
C LDR INTEGER
C The leading dimension of array R. LDR >= MAX(1,N).
C
C IPVT (input) INTEGER array, dimension (N)
C This array must define the permutation matrix P such that
C A*P = Q*R. Column j of P is column IPVT(j) of the identity
C matrix.
C
C DIAG (input) DOUBLE PRECISION array, dimension (N)
C This array must contain the diagonal elements of the
C matrix D.
C
C QTB (input) DOUBLE PRECISION array, dimension (N)
C This array must contain the first n elements of the
C vector Q'*b.
C
C RANK (input or output) INTEGER
C On entry, if COND = 'U', this parameter must contain the
C (numerical) rank of the matrix S.
C On exit, if COND = 'E' or 'N', this parameter contains
C the numerical rank of the matrix S, estimated according
C to the value of COND.
C
C X (output) DOUBLE PRECISION array, dimension (N)
C This array contains the least squares solution of the
C system A*x = b, D*x = 0.
C
C Tolerances
C
C TOL DOUBLE PRECISION
C If COND = 'E', the tolerance to be used for finding the
C rank of the matrix S. If the user sets TOL > 0, then the
C given value of TOL is used as a lower bound for the
C reciprocal condition number; a (sub)matrix whose
C estimated condition number is less than 1/TOL is
C considered to be of full rank. If the user sets TOL <= 0,
C then an implicitly computed, default tolerance, defined by
C TOLDEF = N*EPS, is used instead, where EPS is the machine
C precision (see LAPACK Library routine DLAMCH).
C This parameter is not relevant if COND = 'U' or 'N'.
C
C Workspace
C
C DWORK DOUBLE PRECISION array, dimension (LDWORK)
C On exit, the first N elements of this array contain the
C diagonal elements of the upper triangular matrix S, and
C the next N elements contain the solution z.
C
C LDWORK INTEGER
C The length of the array DWORK.
C LDWORK >= 4*N, if COND = 'E';
C LDWORK >= 2*N, if COND <> 'E'.
C
C Error Indicator
C
C INFO INTEGER
C = 0: successful exit;
C < 0: if INFO = -i, the i-th argument had an illegal
C value.
C
C METHOD
C
C Standard plane rotations are used to annihilate the elements of
C the diagonal matrix D, updating the upper triangular matrix R
C and the first n elements of the vector Q'*b. A basic least squares
C solution is computed.
C
C REFERENCES
C
C [1] More, J.J., Garbow, B.S, and Hillstrom, K.E.
C User's Guide for MINPACK-1.
C Applied Math. Division, Argonne National Laboratory, Argonne,
C Illinois, Report ANL-80-74, 1980.
C
C NUMERICAL ASPECTS
C 2
C The algorithm requires 0(N ) operations and is backward stable.
C
C FURTHER COMMENTS
C
C This routine is a LAPACK-based modification of QRSOLV from the
C MINPACK package [1], and with optional condition estimation.
C The option COND = 'U' is useful when dealing with several
C right-hand side vectors.
C
C CONTRIBUTORS
C
C V. Sima, Research Institute for Informatics, Bucharest, Dec. 2001.
C
C REVISIONS
C
C V. Sima, Research Institute for Informatics, Bucharest, Mar. 2005.
C
C KEYWORDS
C
C Linear system of equations, matrix operations, plane rotations.
C
C ******************************************************************
C
C .. Parameters ..
DOUBLE PRECISION ZERO, SVLMAX
PARAMETER ( ZERO = 0.0D0, SVLMAX = 0.0D0 )
C .. Scalar Arguments ..
CHARACTER COND
INTEGER INFO, LDR, LDWORK, N, RANK
DOUBLE PRECISION TOL
C .. Array Arguments ..
INTEGER IPVT(*)
DOUBLE PRECISION DIAG(*), DWORK(*), QTB(*), R(LDR,*), X(*)
C .. Local Scalars ..
DOUBLE PRECISION CS, QTBPJ, SN, TEMP, TOLDEF
INTEGER I, J, K, L
LOGICAL ECOND, NCOND, UCOND
C .. Local Arrays ..
DOUBLE PRECISION DUM(3)
C .. External Functions ..
DOUBLE PRECISION DLAMCH
LOGICAL LSAME
EXTERNAL DLAMCH, LSAME
C .. External Subroutines ..
EXTERNAL DCOPY, DLARTG, DROT, DSWAP, MB03OD, XERBLA
C .. Intrinsic Functions ..
INTRINSIC DBLE, MAX
C ..
C .. Executable Statements ..
C
C Check the scalar input parameters.
C
ECOND = LSAME( COND, 'E' )
NCOND = LSAME( COND, 'N' )
UCOND = LSAME( COND, 'U' )
INFO = 0
IF( .NOT.( ECOND .OR. NCOND .OR. UCOND ) ) THEN
INFO = -1
ELSEIF( N.LT.0 ) THEN
INFO = -2
ELSEIF ( LDR.LT.MAX( 1, N ) ) THEN
INFO = -4
ELSEIF ( UCOND .AND. ( RANK.LT.0 .OR. RANK.GT.N ) ) THEN
INFO = -8
ELSEIF ( LDWORK.LT.2*N .OR. ( ECOND .AND. LDWORK.LT.4*N ) ) THEN
INFO = -12
ENDIF
C
C Return if there are illegal arguments.
C
IF( INFO.NE.0 ) THEN
CALL XERBLA( 'MB02YD', -INFO )
RETURN
ENDIF
C
C Quick return if possible.
C
IF ( N.EQ.0 ) THEN
IF ( .NOT.UCOND )
$ RANK = 0
RETURN
END IF
C
C Copy R and Q'*b to preserve input and initialize S.
C In particular, save the diagonal elements of R in X.
C
DO 20 J = 1, N
X(J) = R(J,J)
DO 10 I = J, N
R(I,J) = R(J,I)
10 CONTINUE
20 CONTINUE
C
CALL DCOPY( N, QTB, 1, DWORK(N+1), 1 )
C
C Eliminate the diagonal matrix D using Givens rotations.
C
DO 50 J = 1, N
C
C Prepare the row of D to be eliminated, locating the
C diagonal element using P from the QR factorization.
C
L = IPVT(J)
IF ( DIAG(L).NE.ZERO ) THEN
QTBPJ = ZERO
DWORK(J) = DIAG(L)
C
DO 30 K = J + 1, N
DWORK(K) = ZERO
30 CONTINUE
C
C The transformations to eliminate the row of D modify only
C a single element of Q'*b beyond the first n, which is
C initially zero.
C
DO 40 K = J, N
C
C Determine a Givens rotation which eliminates the
C appropriate element in the current row of D.
C
IF ( DWORK(K).NE.ZERO ) THEN
C
CALL DLARTG( R(K,K), DWORK(K), CS, SN, TEMP )
C
C Compute the modified diagonal element of R and
C the modified elements of (Q'*b,0).
C Accumulate the tranformation in the row of S.
C
TEMP = CS*DWORK(N+K) + SN*QTBPJ
QTBPJ = -SN*DWORK(N+K) + CS*QTBPJ
DWORK(N+K) = TEMP
CALL DROT( N-K+1, R(K,K), 1, DWORK(K), 1, CS, SN )
C
END IF
40 CONTINUE
C
END IF
C
C Store the diagonal element of S and, if COND <> 'E', restore
C the corresponding diagonal element of R.
C
DWORK(J) = R(J,J)
IF ( .NOT.ECOND )
$ R(J,J) = X(J)
50 CONTINUE
C
C Solve the triangular system for z. If the system is singular,
C then obtain a least squares solution.
C
IF ( ECOND ) THEN
TOLDEF = TOL
IF ( TOLDEF.LE.ZERO ) THEN
C
C Use the default tolerance in rank determination.
C
TOLDEF = DBLE( N )*DLAMCH( 'Epsilon' )
END IF
C
C Interchange the strict upper and lower triangular parts of R.
C
DO 60 J = 2, N
CALL DSWAP( J-1, R(1,J), 1, R(J,1), LDR )
60 CONTINUE
C
C Estimate the reciprocal condition number of S and set the rank.
C Additional workspace: 2*N.
C
CALL MB03OD( 'No QR', N, N, R, LDR, IPVT, TOLDEF, SVLMAX,
$ DWORK, RANK, DUM, DWORK(2*N+1), LDWORK-2*N,
$ INFO )
R(1,1) = X(1)
C
C Restore the strict upper and lower triangular parts of R.
C
DO 70 J = 2, N
CALL DSWAP( J-1, R(1,J), 1, R(J,1), LDR )
R(J,J) = X(J)
70 CONTINUE
C
ELSEIF ( NCOND ) THEN
C
C Determine rank(S) by checking zero diagonal entries.
C
RANK = N
C
DO 80 J = 1, N
IF ( DWORK(J).EQ.ZERO .AND. RANK.EQ.N )
$ RANK = J - 1
80 CONTINUE
C
END IF
C
DUM(1) = ZERO
IF ( RANK.LT.N )
$ CALL DCOPY( N-RANK, DUM, 0, DWORK(N+RANK+1), 1 )
C
C Solve S*z = c using back substitution.
C
DO 100 J = RANK, 1, -1
TEMP = ZERO
C
DO 90 I = J + 1, RANK
TEMP = TEMP + R(I,J)*DWORK(N+I)
90 CONTINUE
C
DWORK(N+J) = ( DWORK(N+J) - TEMP )/DWORK(J)
100 CONTINUE
C
C Permute the components of z back to components of x.
C
DO 110 J = 1, N
L = IPVT(J)
X(L) = DWORK(N+J)
110 CONTINUE
C
RETURN
C
C *** Last line of MB02YD ***
END