*DECK SSDOMN
SUBROUTINE SSDOMN (N, B, X, NELT, IA, JA, A, ISYM, NSAVE, ITOL,
+ TOL, ITMAX, ITER, ERR, IERR, IUNIT, RWORK, LENW, IWORK, LENIW)
C***BEGIN PROLOGUE SSDOMN
C***PURPOSE Diagonally Scaled Orthomin Sparse Iterative Ax=b Solver.
C Routine to solve a general linear system Ax = b using
C the Orthomin method with diagonal scaling.
C***LIBRARY SLATEC (SLAP)
C***CATEGORY D2A4, D2B4
C***TYPE SINGLE PRECISION (SSDOMN-S, DSDOMN-D)
C***KEYWORDS ITERATIVE PRECONDITION, NON-SYMMETRIC LINEAR SYSTEM SOLVE,
C SLAP, SPARSE
C***AUTHOR Greenbaum, Anne, (Courant Institute)
C Seager, Mark K., (LLNL)
C Lawrence Livermore National Laboratory
C PO BOX 808, L-60
C Livermore, CA 94550 (510) 423-3141
C seager@llnl.gov
C***DESCRIPTION
C
C *Usage:
C INTEGER N, NELT, IA(NELT), JA(NELT), ISYM, NSAVE, ITOL, ITMAX
C INTEGER ITER, IERR, IUNIT, LENW, IWORK(10), LENIW
C REAL B(N), X(N), A(NELT), TOL, ERR
C REAL RWORK(7*N+3*N*NSAVE+NSAVE)
C
C CALL SSDOMN(N, B, X, NELT, IA, JA, A, ISYM, NSAVE, ITOL, TOL,
C $ ITMAX, ITER, ERR, IERR, IUNIT, RWORK, LENW, IWORK, LENIW )
C
C *Arguments:
C N :IN Integer.
C Order of the Matrix.
C B :IN Real B(N).
C Right-hand side vector.
C X :INOUT Real X(N).
C On input X is your initial guess for solution vector.
C On output X is the final approximate solution.
C NELT :IN Integer.
C Number of Non-Zeros stored in A.
C IA :IN Integer IA(NELT).
C JA :IN Integer JA(NELT).
C A :IN Real A(NELT).
C These arrays should hold the matrix A in either the SLAP
C Triad format or the SLAP Column format. See "Description",
C below. If the SLAP Triad format is chosen, it is changed
C internally to the SLAP Column format.
C ISYM :IN Integer.
C Flag to indicate symmetric storage format.
C If ISYM=0, all non-zero entries of the matrix are stored.
C If ISYM=1, the matrix is symmetric, and only the upper
C or lower triangle of the matrix is stored.
C NSAVE :IN Integer.
C Number of direction vectors to save and orthogonalize against.
C ITOL :IN Integer.
C Flag to indicate type of convergence criterion.
C If ITOL=1, iteration stops when the 2-norm of the residual
C divided by the 2-norm of the right-hand side is less than TOL.
C If ITOL=2, iteration stops when the 2-norm of M-inv times the
C residual divided by the 2-norm of M-inv times the right hand
C side is less than TOL, where M-inv is the inverse of the
C diagonal of A.
C ITOL=11 is often useful for checking and comparing different
C routines. For this case, the user must supply the "exact"
C solution or a very accurate approximation (one with an error
C much less than TOL) through a common block,
C COMMON /SSLBLK/ SOLN( )
C If ITOL=11, iteration stops when the 2-norm of the difference
C between the iterative approximation and the user-supplied
C solution divided by the 2-norm of the user-supplied solution
C is less than TOL.
C TOL :INOUT Real.
C Convergence criterion, as described above. (Reset if IERR=4.)
C ITMAX :IN Integer.
C Maximum number of iterations.
C ITER :OUT Integer.
C Number of iterations required to reach convergence, or
C ITMAX+1 if convergence criterion could not be achieved in
C ITMAX iterations.
C ERR :OUT Real.
C Error estimate of error in final approximate solution, as
C defined by ITOL.
C IERR :OUT Integer.
C Return error flag.
C IERR = 0 => All went well.
C IERR = 1 => Insufficient space allocated for WORK or IWORK.
C IERR = 2 => Method failed to converge in ITMAX steps.
C IERR = 3 => Error in user input.
C Check input values of N, ITOL.
C IERR = 4 => User error tolerance set too tight.
C Reset to 500*R1MACH(3). Iteration proceeded.
C IERR = 5 => Preconditioning matrix, M, is not positive
C definite. (r,z) < 0.
C IERR = 6 => Breakdown of method detected.
C (p,Ap) < epsilon**2.
C IUNIT :IN Integer.
C Unit number on which to write the error at each iteration,
C if this is desired for monitoring convergence. If unit
C number is 0, no writing will occur.
C RWORK :WORK Real RWORK(LENW).
C Real array used for workspace.
C LENW :IN Integer.
C Length of the real workspace, RWORK.
C LENW >= 7*N+NSAVE*(3*N+1).
C IWORK :WORK Integer IWORK(LENIW).
C Used to hold pointers into the RWORK array.
C LENIW :IN Integer.
C Length of the integer workspace, IWORK. LENIW >= 10.
C
C *Description:
C This routine is simply a driver for the SOMN routine. It
C calls the SSDS routine to set up the preconditioning and
C then calls SOMN with the appropriate MATVEC and MSOLVE
C routines.
C
C The Sparse Linear Algebra Package (SLAP) utilizes two matrix
C data structures: 1) the SLAP Triad format or 2) the SLAP
C Column format. The user can hand this routine either of the
C of these data structures and SLAP will figure out which on
C is being used and act accordingly.
C
C =================== S L A P Triad format ===================
C
C In this format only the non-zeros are stored. They may
C appear in *ANY* order. The user supplies three arrays of
C length NELT, where NELT is the number of non-zeros in the
C matrix: (IA(NELT), JA(NELT), A(NELT)). For each non-zero
C the user puts the row and column index of that matrix
C element in the IA and JA arrays. The value of the non-zero
C matrix element is placed in the corresponding location of
C the A array. This is an extremely easy data structure to
C generate. On the other hand it is not too efficient on
C vector computers for the iterative solution of linear
C systems. Hence, SLAP changes this input data structure to
C the SLAP Column format for the iteration (but does not
C change it back).
C
C Here is an example of the SLAP Triad storage format for a
C 5x5 Matrix. Recall that the entries may appear in any order.
C
C 5x5 Matrix SLAP Triad format for 5x5 matrix on left.
C 1 2 3 4 5 6 7 8 9 10 11
C |11 12 0 0 15| A: 51 12 11 33 15 53 55 22 35 44 21
C |21 22 0 0 0| IA: 5 1 1 3 1 5 5 2 3 4 2
C | 0 0 33 0 35| JA: 1 2 1 3 5 3 5 2 5 4 1
C | 0 0 0 44 0|
C |51 0 53 0 55|
C
C =================== S L A P Column format ==================
C
C In this format the non-zeros are stored counting down
C columns (except for the diagonal entry, which must appear
C first in each "column") and are stored in the real array A.
C In other words, for each column in the matrix put the
C diagonal entry in A. Then put in the other non-zero
C elements going down the column (except the diagonal) in
C order. The IA array holds the row index for each non-zero.
C The JA array holds the offsets into the IA, A arrays for the
C beginning of each column. That is, IA(JA(ICOL)),
C A(JA(ICOL)) points to the beginning of the ICOL-th column in
C IA and A. IA(JA(ICOL+1)-1), A(JA(ICOL+1)-1) points to the
C end of the ICOL-th column. Note that we always have JA(N+1)
C = NELT+1, where N is the number of columns in the matrix and
C NELT is the number of non-zeros in the matrix.
C
C Here is an example of the SLAP Column storage format for a
C 5x5 Matrix (in the A and IA arrays '|' denotes the end of a
C column):
C
C 5x5 Matrix SLAP Column format for 5x5 matrix on left.
C 1 2 3 4 5 6 7 8 9 10 11
C |11 12 0 0 15| A: 11 21 51 | 22 12 | 33 53 | 44 | 55 15 35
C |21 22 0 0 0| IA: 1 2 5 | 2 1 | 3 5 | 4 | 5 1 3
C | 0 0 33 0 35| JA: 1 4 6 8 9 12
C | 0 0 0 44 0|
C |51 0 53 0 55|
C
C *Side Effects:
C The SLAP Triad format (IA, JA, A) is modified internally to
C be the SLAP Column format. See above.
C
C *Cautions:
C This routine will attempt to write to the Fortran logical output
C unit IUNIT, if IUNIT .ne. 0. Thus, the user must make sure that
C this logical unit is attached to a file or terminal before calling
C this routine with a non-zero value for IUNIT. This routine does
C not check for the validity of a non-zero IUNIT unit number.
C
C***SEE ALSO SOMN, SSLUOM
C***REFERENCES (NONE)
C***ROUTINES CALLED SCHKW, SOMN, SS2Y, SSDI, SSDS, SSMV
C***REVISION HISTORY (YYMMDD)
C 871119 DATE WRITTEN
C 881213 Previous REVISION DATE
C 890915 Made changes requested at July 1989 CML Meeting. (MKS)
C 890921 Removed TeX from comments. (FNF)
C 890922 Numerous changes to prologue to make closer to SLATEC
C standard. (FNF)
C 890929 Numerous changes to reduce SP/DP differences. (FNF)
C 910411 Prologue converted to Version 4.0 format. (BAB)
C 920407 COMMON BLOCK renamed SSLBLK. (WRB)
C 920511 Added complete declaration section. (WRB)
C 921113 Corrected C***CATEGORY line. (FNF)
C***END PROLOGUE SSDOMN
C .. Parameters ..
INTEGER LOCRB, LOCIB
PARAMETER (LOCRB=1, LOCIB=11)
C .. Scalar Arguments ..
REAL ERR, TOL
INTEGER IERR, ISYM, ITER, ITMAX, ITOL, IUNIT, LENIW, LENW, N,
+ NELT, NSAVE
C .. Array Arguments ..
REAL A(N), B(N), RWORK(LENW), X(N)
INTEGER IA(NELT), IWORK(LENIW), JA(NELT)
C .. Local Scalars ..
INTEGER LOCAP, LOCCSA, LOCDIN, LOCDZ, LOCEMA, LOCIW, LOCP, LOCR,
+ LOCW, LOCZ
C .. External Subroutines ..
EXTERNAL SCHKW, SOMN, SS2Y, SSDI, SSDS, SSMV
C***FIRST EXECUTABLE STATEMENT SSDOMN
C
IERR = 0
IF( N.LT.1 .OR. NELT.LT.1 ) THEN
IERR = 3
RETURN
ENDIF
C
C Change the SLAP input matrix IA, JA, A to SLAP-Column format.
CALL SS2Y( N, NELT, IA, JA, A, ISYM )
C
C Set up the workspace.
LOCIW = LOCIB
C
LOCDIN = LOCRB
LOCR = LOCDIN + N
LOCZ = LOCR + N
LOCP = LOCZ + N
LOCAP = LOCP + N*(NSAVE+1)
LOCEMA = LOCAP + N*(NSAVE+1)
LOCDZ = LOCEMA + N*(NSAVE+1)
LOCCSA = LOCDZ + N
LOCW = LOCCSA + NSAVE
C
C Check the workspace allocations.
CALL SCHKW( 'SSDOMN', LOCIW, LENIW, LOCW, LENW, IERR, ITER, ERR )
IF( IERR.NE.0 ) RETURN
C
IWORK(4) = LOCDIN
IWORK(9) = LOCIW
IWORK(10) = LOCW
C
C Compute the inverse of the diagonal of the matrix.
CALL SSDS(N, NELT, IA, JA, A, ISYM, RWORK(LOCDIN))
C
C Perform the Diagonally Scaled Orthomin iteration algorithm.
CALL SOMN(N, B, X, NELT, IA, JA, A, ISYM, SSMV,
$ SSDI, NSAVE, ITOL, TOL, ITMAX, ITER, ERR, IERR, IUNIT,
$ RWORK(LOCR), RWORK(LOCZ), RWORK(LOCP), RWORK(LOCAP),
$ RWORK(LOCEMA), RWORK(LOCDZ), RWORK(LOCCSA),
$ RWORK, IWORK )
RETURN
C------------- LAST LINE OF SSDOMN FOLLOWS ----------------------------
END