download dbndac.f
Language: Fortran
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...\sdsfortranlibs‑1.0\approx\
   bndacc.f
   bndsol.f
   bsplvd.f
   bsplvn.f
   chkder.f
   d1mach.f
   dasum.f
   daxpy.f
   dbndac.f
   dbndsl.f
   dbocls.f
   dbols.f
   dbolsm.f
   dckder.f
   dcopy.f
   dcov.f
   ddot.f
   defc.f
   defcmn.f
   denorm.f
   dfc.f
   dfcmn.f
   dfdjc3.f
   dfspvd.f
   dfspvn.f
   dh12.f
   dhfti.f
   dlpdp.f
   dlsei.f
   dlsi.f
   dmout.f
   dmpar.f
   dnls1.f
   dnls1e.f
   dnrm2.f
   dp1vlu.f
   dpcoef.f
   dpolft.f
   dqrfac.f
   dqrslv.f
   drot.f
   drotg.f
   drotm.f
   drotmg.f
   dscal.f
   dsort.f
   dswap.f
   dvout.f
   dwnlit.f
   dwnlsm.f
   dwnlt1.f
   dwnlt2.f
   dwnlt3.f
   dwnnls.f
   dwupdt.f
   efc.f
   efcmn.f
   enorm.f
   fc.f
   fcmn.f
   fdjac3.f
   fdump.f
   h12.f
   hfti.f
   i1mach.f
   idamax.f
   isamax.f
   ivout.f
   j4save.f
   lmpar.f
   lpdp.f
   lsei.f
   lsi.f
   pcoef.f
   polfit.f
   pvalue.f
   qrfac.f
   qrsolv.f
   r1mach.f
   rwupdt.f
   sasum.f
   saxpy.f
   sbocls.f
   sbols.f
   sbolsm.f
   scopy.f
   scov.f
   sdot.f
   smout.f
   snls1.f
   snls1e.f
   snrm2.f
   srot.f
   srotg.f
   srotm.f
   srotmg.f
   sscal.f
   ssort.f
   sswap.f
   svout.f
   wnlit.f
   wnlsm.f
   wnlt1.f
   wnlt2.f
   wnlt3.f
   wnnls.f
   xerclr.f
   xercnt.f
   xerhlt.f
   xermsg.f
   xerprn.f
   xersve.f
   xgetf.f
   xgetua.f
   xsetf.f

*DECK DBNDAC
      SUBROUTINE DBNDAC (G, MDG, NB, IP, IR, MT, JT)
C***BEGIN PROLOGUE  DBNDAC
C***PURPOSE  Compute the LU factorization of a  banded matrices using
C            sequential accumulation of rows of the data matrix.
C            Exactly one right-hand side vector is permitted.
C***LIBRARY   SLATEC
C***CATEGORY  D9
C***TYPE      DOUBLE PRECISION (BNDACC-S, DBNDAC-D)
C***KEYWORDS  BANDED MATRIX, CURVE FITTING, LEAST SQUARES
C***AUTHOR  Lawson, C. L., (JPL)
C           Hanson, R. J., (SNLA)
C***DESCRIPTION
C
C     These subroutines solve the least squares problem Ax = b for
C     banded matrices A using sequential accumulation of rows of the
C     data matrix.  Exactly one right-hand side vector is permitted.
C
C     These subroutines are intended for the type of least squares
C     systems that arise in applications such as curve or surface
C     fitting of data.  The least squares equations are accumulated and
C     processed using only part of the data.  This requires a certain
C     user interaction during the solution of Ax = b.
C
C     Specifically, suppose the data matrix (A B) is row partitioned
C     into Q submatrices.  Let (E F) be the T-th one of these
C     submatrices where E = (0 C 0).  Here the dimension of E is MT by N
C     and the dimension of C is MT by NB.  The value of NB is the
C     bandwidth of A.  The dimensions of the leading block of zeros in E
C     are MT by JT-1.
C
C     The user of the subroutine DBNDAC provides MT,JT,C and F for
C     T=1,...,Q.  Not all of this data must be supplied at once.
C
C     Following the processing of the various blocks (E F), the matrix
C     (A B) has been transformed to the form (R D) where R is upper
C     triangular and banded with bandwidth NB.  The least squares
C     system Rx = d is then easily solved using back substitution by
C     executing the statement CALL DBNDSL(1,...). The sequence of
C     values for JT must be nondecreasing.  This may require some
C     preliminary interchanges of rows and columns of the matrix A.
C
C     The primary reason for these subroutines is that the total
C     processing can take place in a working array of dimension MU by
C     NB+1.  An acceptable value for MU is
C
C                       MU = MAX(MT + N + 1),
C
C     where N is the number of unknowns.
C
C     Here the maximum is taken over all values of MT for T=1,...,Q.
C     Notice that MT can be taken to be a small as one, showing that
C     MU can be as small as N+2.  The subprogram DBNDAC processes the
C     rows more efficiently if MU is large enough so that each new
C     block (C F) has a distinct value of JT.
C
C     The four principle parts of these algorithms are obtained by the
C     following call statements
C
C     CALL DBNDAC(...)  Introduce new blocks of data.
C
C     CALL DBNDSL(1,...)Compute solution vector and length of
C                       residual vector.
C
C     CALL DBNDSL(2,...)Given any row vector H solve YR = H for the
C                       row vector Y.
C
C     CALL DBNDSL(3,...)Given any column vector W solve RZ = W for
C                       the column vector Z.
C
C     The dots in the above call statements indicate additional
C     arguments that will be specified in the following paragraphs.
C
C     The user must dimension the array appearing in the call list..
C     G(MDG,NB+1)
C
C     Description of calling sequence for DBNDAC..
C
C     The entire set of parameters for DBNDAC are
C
C     Input.. All Type REAL variables are DOUBLE PRECISION
C
C     G(*,*)            The working array into which the user will
C                       place the MT by NB+1 block (C F) in rows IR
C                       through IR+MT-1, columns 1 through NB+1.
C                       See descriptions of IR and MT below.
C
C     MDG               The number of rows in the working array
C                       G(*,*).  The value of MDG should be .GE. MU.
C                       The value of MU is defined in the abstract
C                       of these subprograms.
C
C     NB                The bandwidth of the data matrix A.
C
C     IP                Set by the user to the value 1 before the
C                       first call to DBNDAC.  Its subsequent value
C                       is controlled by DBNDAC to set up for the
C                       next call to DBNDAC.
C
C     IR                Index of the row of G(*,*) where the user is
C                       to place the new block of data (C F).  Set by
C                       the user to the value 1 before the first call
C                       to DBNDAC.  Its subsequent value is controlled
C                       by DBNDAC. A value of IR .GT. MDG is considered
C                       an error.
C
C     MT,JT             Set by the user to indicate respectively the
C                       number of new rows of data in the block and
C                       the index of the first nonzero column in that
C                       set of rows (E F) = (0 C 0 F) being processed.
C
C     Output.. All Type REAL variables are DOUBLE PRECISION
C
C     G(*,*)            The working array which will contain the
C                       processed rows of that part of the data
C                       matrix which has been passed to DBNDAC.
C
C     IP,IR             The values of these arguments are advanced by
C                       DBNDAC to be ready for storing and processing
C                       a new block of data in G(*,*).
C
C     Description of calling sequence for DBNDSL..
C
C     The user must dimension the arrays appearing in the call list..
C
C     G(MDG,NB+1), X(N)
C
C     The entire set of parameters for DBNDSL are
C
C     Input.. All Type REAL variables are DOUBLE PRECISION
C
C     MODE              Set by the user to one of the values 1, 2, or
C                       3.  These values respectively indicate that
C                       the solution of AX = B, YR = H or RZ = W is
C                       required.
C
C     G(*,*),MDG,       These arguments all have the same meaning and
C      NB,IP,IR         contents as following the last call to DBNDAC.
C
C     X(*)              With mode=2 or 3 this array contains,
C                       respectively, the right-side vectors H or W of
C                       the systems YR = H or RZ = W.
C
C     N                 The number of variables in the solution
C                       vector.  If any of the N diagonal terms are
C                       zero the subroutine DBNDSL prints an
C                       appropriate message.  This condition is
C                       considered an error.
C
C     Output.. All Type REAL variables are DOUBLE PRECISION
C
C     X(*)              This array contains the solution vectors X,
C                       Y or Z of the systems AX = B, YR = H or
C                       RZ = W depending on the value of MODE=1,
C                       2 or 3.
C
C     RNORM             If MODE=1 RNORM is the Euclidean length of the
C                       residual vector AX-B.  When MODE=2 or 3 RNORM
C                       is set to zero.
C
C     Remarks..
C
C     To obtain the upper triangular matrix and transformed right-hand
C     side vector D so that the super diagonals of R form the columns
C     of G(*,*), execute the following Fortran statements.
C
C     NBP1=NB+1
C
C     DO 10 J=1, NBP1
C
C  10 G(IR,J) = 0.E0
C
C     MT=1
C
C     JT=N+1
C
C     CALL DBNDAC(G,MDG,NB,IP,IR,MT,JT)
C
C***REFERENCES  C. L. Lawson and R. J. Hanson, Solving Least Squares
C                 Problems, Prentice-Hall, Inc., 1974, Chapter 27.
C***ROUTINES CALLED  DH12, XERMSG
C***REVISION HISTORY  (YYMMDD)
C   790101  DATE WRITTEN
C   890531  Changed all specific intrinsics to generic.  (WRB)
C   891006  Cosmetic changes to prologue.  (WRB)
C   891006  REVISION DATE from Version 3.2
C   891214  Prologue converted to Version 4.0 format.  (BAB)
C   900315  CALLs to XERROR changed to CALLs to XERMSG.  (THJ)
C   920501  Reformatted the REFERENCES section.  (WRB)
C***END PROLOGUE  DBNDAC
      IMPLICIT DOUBLE PRECISION (A-H,O-Z)
      DIMENSION G(MDG,*)
C***FIRST EXECUTABLE STATEMENT  DBNDAC
      ZERO=0.D0
C
C              ALG. STEPS 1-4 ARE PERFORMED EXTERNAL TO THIS SUBROUTINE.
C
      NBP1=NB+1
      IF (MT.LE.0.OR.NB.LE.0) RETURN
C
      IF(.NOT.MDG.LT.IR) GO TO 5
      NERR=1
      IOPT=2
      CALL XERMSG ('SLATEC', 'DBNDAC', 'MDG.LT.IR, PROBABLE ERROR.',
     +   NERR, IOPT)
      RETURN
    5 CONTINUE
C
C                                             ALG. STEP 5
      IF (JT.EQ.IP) GO TO 70
C                                             ALG. STEPS 6-7
      IF (JT.LE.IR) GO TO 30
C                                             ALG. STEPS 8-9
      DO 10 I=1,MT
        IG1=JT+MT-I
        IG2=IR+MT-I
        DO 10 J=1,NBP1
        G(IG1,J)=G(IG2,J)
   10 CONTINUE
C                                             ALG. STEP 10
      IE=JT-IR
      DO 20 I=1,IE
        IG=IR+I-1
        DO 20 J=1,NBP1
        G(IG,J)=ZERO
   20 CONTINUE
C                                             ALG. STEP 11
      IR=JT
C                                             ALG. STEP 12
   30 MU=MIN(NB-1,IR-IP-1)
      IF (MU.EQ.0) GO TO 60
C                                             ALG. STEP 13
      DO 50 L=1,MU
C                                             ALG. STEP 14
        K=MIN(L,JT-IP)
C                                             ALG. STEP 15
        LP1=L+1
        IG=IP+L
        DO 40 I=LP1,NB
          JG=I-K
          G(IG,JG)=G(IG,I)
   40 CONTINUE
C                                             ALG. STEP 16
        DO 50 I=1,K
        JG=NBP1-I
        G(IG,JG)=ZERO
   50 CONTINUE
C                                             ALG. STEP 17
   60 IP=JT
C                                             ALG. STEPS 18-19
   70 MH=IR+MT-IP
      KH=MIN(NBP1,MH)
C                                             ALG. STEP 20
      DO 80 I=1,KH
        CALL DH12 (1,I,MAX(I+1,IR-IP+1),MH,G(IP,I),1,RHO,
     1            G(IP,I+1),1,MDG,NBP1-I)
   80 CONTINUE
C                                             ALG. STEP 21
      IR=IP+KH
C                                             ALG. STEP 22
      IF (KH.LT.NBP1) GO TO 100
C                                             ALG. STEP 23
      DO 90 I=1,NB
        G(IR-1,I)=ZERO
   90 CONTINUE
C                                             ALG. STEP 24
  100 CONTINUE
C                                             ALG. STEP 25
      RETURN
      END

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