      SUBROUTINE SCHKBB( NSIZES, MVAL, NVAL, NWDTHS, KK, NTYPES, DOTYPE,
     $                   NRHS, ISEED, THRESH, NOUNIT, A, LDA, AB, LDAB,
     $                   BD, BE, Q, LDQ, P, LDP, C, LDC, CC, WORK,
     $                   LWORK, RESULT, INFO )
*
*  -- LAPACK test routine (release 2.0) --
*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
*     November 2006
*
*     .. Scalar Arguments ..
      INTEGER            INFO, LDA, LDAB, LDC, LDP, LDQ, LWORK, NOUNIT,
     $                   NRHS, NSIZES, NTYPES, NWDTHS
      REAL               THRESH
*     ..
*     .. Array Arguments ..
      LOGICAL            DOTYPE( * )
      INTEGER            ISEED( 4 ), KK( * ), MVAL( * ), NVAL( * )
      REAL               A( LDA, * ), AB( LDAB, * ), BD( * ), BE( * ),
     $                   C( LDC, * ), CC( LDC, * ), P( LDP, * ),
     $                   Q( LDQ, * ), RESULT( * ), WORK( * )
*     ..
*
*  Purpose
*  =======
*
*  SCHKBB tests the reduction of a general real rectangular band
*  matrix to bidiagonal form.
*
*  SGBBRD factors a general band matrix A as  Q B P* , where * means
*  transpose, B is upper bidiagonal, and Q and P are orthogonal;
*  SGBBRD can also overwrite a given matrix C with Q* C .
*
*  For each pair of matrix dimensions (M,N) and each selected matrix
*  type, an M by N matrix A and an M by NRHS matrix C are generated.
*  The problem dimensions are as follows
*     A:          M x N
*     Q:          M x M
*     P:          N x N
*     B:          min(M,N) x min(M,N)
*     C:          M x NRHS
*
*  For each generated matrix, 4 tests are performed:
*
*  (1)   | A - Q B PT | / ( |A| max(M,N) ulp ), PT = P'
*
*  (2)   | I - Q' Q | / ( M ulp )
*
*  (3)   | I - PT PT' | / ( N ulp )
*
*  (4)   | Y - Q' C | / ( |Y| max(M,NRHS) ulp ), where Y = Q' C.
*
*  The "types" are specified by a logical array DOTYPE( 1:NTYPES );
*  if DOTYPE(j) is .TRUE., then matrix type "j" will be generated.
*  Currently, the list of possible types is:
*
*  The possible matrix types are
*
*  (1)  The zero matrix.
*  (2)  The identity matrix.
*
*  (3)  A diagonal matrix with evenly spaced entries
*       1, ..., ULP  and random signs.
*       (ULP = (first number larger than 1) - 1 )
*  (4)  A diagonal matrix with geometrically spaced entries
*       1, ..., ULP  and random signs.
*  (5)  A diagonal matrix with "clustered" entries 1, ULP, ..., ULP
*       and random signs.
*
*  (6)  Same as (3), but multiplied by SQRT( overflow threshold )
*  (7)  Same as (3), but multiplied by SQRT( underflow threshold )
*
*  (8)  A matrix of the form  U D V, where U and V are orthogonal and
*       D has evenly spaced entries 1, ..., ULP with random signs
*       on the diagonal.
*
*  (9)  A matrix of the form  U D V, where U and V are orthogonal and
*       D has geometrically spaced entries 1, ..., ULP with random
*       signs on the diagonal.
*
*  (10) A matrix of the form  U D V, where U and V are orthogonal and
*       D has "clustered" entries 1, ULP,..., ULP with random
*       signs on the diagonal.
*
*  (11) Same as (8), but multiplied by SQRT( overflow threshold )
*  (12) Same as (8), but multiplied by SQRT( underflow threshold )
*
*  (13) Rectangular matrix with random entries chosen from (-1,1).
*  (14) Same as (13), but multiplied by SQRT( overflow threshold )
*  (15) Same as (13), but multiplied by SQRT( underflow threshold )
*
*  Arguments
*  =========
*
*  NSIZES  (input) INTEGER
*          The number of values of M and N contained in the vectors
*          MVAL and NVAL.  The matrix sizes are used in pairs (M,N).
*          If NSIZES is zero, SCHKBB does nothing.  NSIZES must be at
*          least zero.
*
*  MVAL    (input) INTEGER array, dimension (NSIZES)
*          The values of the matrix row dimension M.
*
*  NVAL    (input) INTEGER array, dimension (NSIZES)
*          The values of the matrix column dimension N.
*
*  NWDTHS  (input) INTEGER
*          The number of bandwidths to use.  If it is zero,
*          SCHKBB does nothing.  It must be at least zero.
*
*  KK      (input) INTEGER array, dimension (NWDTHS)
*          An array containing the bandwidths to be used for the band
*          matrices.  The values must be at least zero.
*
*  NTYPES  (input) INTEGER
*          The number of elements in DOTYPE.   If it is zero, SCHKBB
*          does nothing.  It must be at least zero.  If it is MAXTYP+1
*          and NSIZES is 1, then an additional type, MAXTYP+1 is
*          defined, which is to use whatever matrix is in A.  This
*          is only useful if DOTYPE(1:MAXTYP) is .FALSE. and
*          DOTYPE(MAXTYP+1) is .TRUE. .
*
*  DOTYPE  (input) LOGICAL array, dimension (NTYPES)
*          If DOTYPE(j) is .TRUE., then for each size in NN a
*          matrix of that size and of type j will be generated.
*          If NTYPES is smaller than the maximum number of types
*          defined (PARAMETER MAXTYP), then types NTYPES+1 through
*          MAXTYP will not be generated.  If NTYPES is larger
*          than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES)
*          will be ignored.
*
*  NRHS    (input) INTEGER
*          The number of columns in the "right-hand side" matrix C.
*          If NRHS = 0, then the operations on the right-hand side will
*          not be tested. NRHS must be at least 0.
*
*  ISEED   (input/output) INTEGER array, dimension (4)
*          On entry ISEED specifies the seed of the random number
*          generator. The array elements should be between 0 and 4095;
*          if not they will be reduced mod 4096.  Also, ISEED(4) must
*          be odd.  The random number generator uses a linear
*          congruential sequence limited to small integers, and so
*          should produce machine independent random numbers. The
*          values of ISEED are changed on exit, and can be used in the
*          next call to SCHKBB to continue the same random number
*          sequence.
*
*  THRESH  (input) REAL
*          A test will count as "failed" if the "error", computed as
*          described above, exceeds THRESH.  Note that the error
*          is scaled to be O(1), so THRESH should be a reasonably
*          small multiple of 1, e.g., 10 or 100.  In particular,
*          it should not depend on the precision (single vs. double)
*          or the size of the matrix.  It must be at least zero.
*
*  NOUNIT  (input) INTEGER
*          The FORTRAN unit number for printing out error messages
*          (e.g., if a routine returns IINFO not equal to 0.)
*
*  A       (input/workspace) REAL array, dimension
*                            (LDA, max(NN))
*          Used to hold the matrix A.
*
*  LDA     (input) INTEGER
*          The leading dimension of A.  It must be at least 1
*          and at least max( NN ).
*
*  AB      (workspace) REAL array, dimension (LDAB, max(NN))
*          Used to hold A in band storage format.
*
*  LDAB    (input) INTEGER
*          The leading dimension of AB.  It must be at least 2 (not 1!)
*          and at least max( KK )+1.
*
*  BD      (workspace) REAL array, dimension (max(NN))
*          Used to hold the diagonal of the bidiagonal matrix computed
*          by SGBBRD.
*
*  BE      (workspace) REAL array, dimension (max(NN))
*          Used to hold the off-diagonal of the bidiagonal matrix
*          computed by SGBBRD.
*
*  Q       (workspace) REAL array, dimension (LDQ, max(NN))
*          Used to hold the orthogonal matrix Q computed by SGBBRD.
*
*  LDQ     (input) INTEGER
*          The leading dimension of Q.  It must be at least 1
*          and at least max( NN ).
*
*  P       (workspace) REAL array, dimension (LDP, max(NN))
*          Used to hold the orthogonal matrix P computed by SGBBRD.
*
*  LDP     (input) INTEGER
*          The leading dimension of P.  It must be at least 1
*          and at least max( NN ).
*
*  C       (workspace) REAL array, dimension (LDC, max(NN))
*          Used to hold the matrix C updated by SGBBRD.
*
*  LDC     (input) INTEGER
*          The leading dimension of U.  It must be at least 1
*          and at least max( NN ).
*
*  CC      (workspace) REAL array, dimension (LDC, max(NN))
*          Used to hold a copy of the matrix C.
*
*  WORK    (workspace) REAL array, dimension (LWORK)
*
*  LWORK   (input) INTEGER
*          The number of entries in WORK.  This must be at least
*          max( LDA+1, max(NN)+1 )*max(NN).
*
*  RESULT  (output) REAL array, dimension (4)
*          The values computed by the tests described above.
*          The values are currently limited to 1/ulp, to avoid
*          overflow.
*
*  INFO    (output) INTEGER
*          If 0, then everything ran OK.
*
*-----------------------------------------------------------------------
*
*       Some Local Variables and Parameters:
*       ---- ----- --------- --- ----------
*       ZERO, ONE       Real 0 and 1.
*       MAXTYP          The number of types defined.
*       NTEST           The number of tests performed, or which can
*                       be performed so far, for the current matrix.
*       NTESTT          The total number of tests performed so far.
*       NMAX            Largest value in NN.
*       NMATS           The number of matrices generated so far.
*       NERRS           The number of tests which have exceeded THRESH
*                       so far.
*       COND, IMODE     Values to be passed to the matrix generators.
*       ANORM           Norm of A; passed to matrix generators.
*
*       OVFL, UNFL      Overflow and underflow thresholds.
*       ULP, ULPINV     Finest relative precision and its inverse.
*       RTOVFL, RTUNFL  Square roots of the previous 2 values.
*               The following four arrays decode JTYPE:
*       KTYPE(j)        The general type (1-10) for type "j".
*       KMODE(j)        The MODE value to be passed to the matrix
*                       generator for type "j".
*       KMAGN(j)        The order of magnitude ( O(1),
*                       O(overflow^(1/2) ), O(underflow^(1/2) )
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ZERO, ONE
      PARAMETER          ( ZERO = 0.0E0, ONE = 1.0E0 )
      INTEGER            MAXTYP
      PARAMETER          ( MAXTYP = 15 )
*     ..
*     .. Local Scalars ..
      LOGICAL            BADMM, BADNN, BADNNB
      INTEGER            I, IINFO, IMODE, ITYPE, J, JCOL, JR, JSIZE,
     $                   JTYPE, JWIDTH, K, KL, KMAX, KU, M, MMAX, MNMAX,
     $                   MNMIN, MTYPES, N, NERRS, NMATS, NMAX, NTEST,
     $                   NTESTT
      REAL               AMNINV, ANORM, COND, OVFL, RTOVFL, RTUNFL, ULP,
     $                   ULPINV, UNFL
*     ..
*     .. Local Arrays ..
      INTEGER            IDUMMA( 1 ), IOLDSD( 4 ), KMAGN( MAXTYP ),
     $                   KMODE( MAXTYP ), KTYPE( MAXTYP )
*     ..
*     .. External Functions ..
      REAL               SLAMCH
      EXTERNAL           SLAMCH
*     ..
*     .. External Subroutines ..
      EXTERNAL           SBDT01, SBDT02, SGBBRD, SLACPY, SLAHD2, SLASET,
     $                   SLASUM, SLATMR, SLATMS, SORT01, XERBLA
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          ABS, MAX, MIN, REAL, SQRT
*     ..
*     .. Data statements ..
      DATA               KTYPE / 1, 2, 5*4, 5*6, 3*9 /
      DATA               KMAGN / 2*1, 3*1, 2, 3, 3*1, 2, 3, 1, 2, 3 /
      DATA               KMODE / 2*0, 4, 3, 1, 4, 4, 4, 3, 1, 4, 4, 0,
     $                   0, 0 /
*     ..
*     .. Executable Statements ..
*
*     Check for errors
*
      NTESTT = 0
      INFO = 0
*
*     Important constants
*
      BADMM = .FALSE.
      BADNN = .FALSE.
      MMAX = 1
      NMAX = 1
      MNMAX = 1
      DO 10 J = 1, NSIZES
         MMAX = MAX( MMAX, MVAL( J ) )
         IF( MVAL( J ).LT.0 )
     $      BADMM = .TRUE.
         NMAX = MAX( NMAX, NVAL( J ) )
         IF( NVAL( J ).LT.0 )
     $      BADNN = .TRUE.
         MNMAX = MAX( MNMAX, MIN( MVAL( J ), NVAL( J ) ) )
   10 CONTINUE
*
      BADNNB = .FALSE.
      KMAX = 0
      DO 20 J = 1, NWDTHS
         KMAX = MAX( KMAX, KK( J ) )
         IF( KK( J ).LT.0 )
     $      BADNNB = .TRUE.
   20 CONTINUE
*
*     Check for errors
*
      IF( NSIZES.LT.0 ) THEN
         INFO = -1
      ELSE IF( BADMM ) THEN
         INFO = -2
      ELSE IF( BADNN ) THEN
         INFO = -3
      ELSE IF( NWDTHS.LT.0 ) THEN
         INFO = -4
      ELSE IF( BADNNB ) THEN
         INFO = -5
      ELSE IF( NTYPES.LT.0 ) THEN
         INFO = -6
      ELSE IF( NRHS.LT.0 ) THEN
         INFO = -8
      ELSE IF( LDA.LT.NMAX ) THEN
         INFO = -13
      ELSE IF( LDAB.LT.2*KMAX+1 ) THEN
         INFO = -15
      ELSE IF( LDQ.LT.NMAX ) THEN
         INFO = -19
      ELSE IF( LDP.LT.NMAX ) THEN
         INFO = -21
      ELSE IF( LDC.LT.NMAX ) THEN
         INFO = -23
      ELSE IF( ( MAX( LDA, NMAX )+1 )*NMAX.GT.LWORK ) THEN
         INFO = -26
      END IF
*
      IF( INFO.NE.0 ) THEN
         CALL XERBLA( 'SCHKBB', -INFO )
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( NSIZES.EQ.0 .OR. NTYPES.EQ.0 .OR. NWDTHS.EQ.0 )
     $   RETURN
*
*     More Important constants
*
      UNFL = SLAMCH( 'Safe minimum' )
      OVFL = ONE / UNFL
      ULP = SLAMCH( 'Epsilon' )*SLAMCH( 'Base' )
      ULPINV = ONE / ULP
      RTUNFL = SQRT( UNFL )
      RTOVFL = SQRT( OVFL )
*
*     Loop over sizes, widths, types
*
      NERRS = 0
      NMATS = 0
*
      DO 160 JSIZE = 1, NSIZES
         M = MVAL( JSIZE )
         N = NVAL( JSIZE )
         MNMIN = MIN( M, N )
         AMNINV = ONE / REAL( MAX( 1, M, N ) )
*
         DO 150 JWIDTH = 1, NWDTHS
            K = KK( JWIDTH )
            IF( K.GE.M .AND. K.GE.N )
     $         GO TO 150
            KL = MAX( 0, MIN( M-1, K ) )
            KU = MAX( 0, MIN( N-1, K ) )
*
            IF( NSIZES.NE.1 ) THEN
               MTYPES = MIN( MAXTYP, NTYPES )
            ELSE
               MTYPES = MIN( MAXTYP+1, NTYPES )
            END IF
*
            DO 140 JTYPE = 1, MTYPES
               IF( .NOT.DOTYPE( JTYPE ) )
     $            GO TO 140
               NMATS = NMATS + 1
               NTEST = 0
*
               DO 30 J = 1, 4
                  IOLDSD( J ) = ISEED( J )
   30          CONTINUE
*
*              Compute "A".
*
*              Control parameters:
*
*                  KMAGN  KMODE        KTYPE
*              =1  O(1)   clustered 1  zero
*              =2  large  clustered 2  identity
*              =3  small  exponential  (none)
*              =4         arithmetic   diagonal, (w/ singular values)
*              =5         random log   (none)
*              =6         random       nonhermitian, w/ singular values
*              =7                      (none)
*              =8                      (none)
*              =9                      random nonhermitian
*
               IF( MTYPES.GT.MAXTYP )
     $            GO TO 90
*
               ITYPE = KTYPE( JTYPE )
               IMODE = KMODE( JTYPE )
*
*              Compute norm
*
               GO TO ( 40, 50, 60 )KMAGN( JTYPE )
*
   40          CONTINUE
               ANORM = ONE
               GO TO 70
*
   50          CONTINUE
               ANORM = ( RTOVFL*ULP )*AMNINV
               GO TO 70
*
   60          CONTINUE
               ANORM = RTUNFL*MAX( M, N )*ULPINV
               GO TO 70
*
   70          CONTINUE
*
               CALL SLASET( 'Full', LDA, N, ZERO, ZERO, A, LDA )
               CALL SLASET( 'Full', LDAB, N, ZERO, ZERO, AB, LDAB )
               IINFO = 0
               COND = ULPINV
*
*              Special Matrices -- Identity & Jordan block
*
*                 Zero
*
               IF( ITYPE.EQ.1 ) THEN
                  IINFO = 0
*
               ELSE IF( ITYPE.EQ.2 ) THEN
*
*                 Identity
*
                  DO 80 JCOL = 1, N
                     A( JCOL, JCOL ) = ANORM
   80             CONTINUE
*
               ELSE IF( ITYPE.EQ.4 ) THEN
*
*                 Diagonal Matrix, singular values specified
*
                  CALL SLATMS( M, N, 'S', ISEED, 'N', WORK, IMODE, COND,
     $                         ANORM, 0, 0, 'N', A, LDA, WORK( M+1 ),
     $                         IINFO )
*
               ELSE IF( ITYPE.EQ.6 ) THEN
*
*                 Nonhermitian, singular values specified
*
                  CALL SLATMS( M, N, 'S', ISEED, 'N', WORK, IMODE, COND,
     $                         ANORM, KL, KU, 'N', A, LDA, WORK( M+1 ),
     $                         IINFO )
*
               ELSE IF( ITYPE.EQ.9 ) THEN
*
*                 Nonhermitian, random entries
*
                  CALL SLATMR( M, N, 'S', ISEED, 'N', WORK, 6, ONE, ONE,
     $                         'T', 'N', WORK( N+1 ), 1, ONE,
     $                         WORK( 2*N+1 ), 1, ONE, 'N', IDUMMA, KL,
     $                         KU, ZERO, ANORM, 'N', A, LDA, IDUMMA,
     $                         IINFO )
*
               ELSE
*
                  IINFO = 1
               END IF
*
*              Generate Right-Hand Side
*
               CALL SLATMR( M, NRHS, 'S', ISEED, 'N', WORK, 6, ONE, ONE,
     $                      'T', 'N', WORK( M+1 ), 1, ONE,
     $                      WORK( 2*M+1 ), 1, ONE, 'N', IDUMMA, M, NRHS,
     $                      ZERO, ONE, 'NO', C, LDC, IDUMMA, IINFO )
*
               IF( IINFO.NE.0 ) THEN
                  WRITE( NOUNIT, FMT = 9999 )'Generator', IINFO, N,
     $               JTYPE, IOLDSD
                  INFO = ABS( IINFO )
                  RETURN
               END IF
*
   90          CONTINUE
*
*              Copy A to band storage.
*
               DO 110 J = 1, N
                  DO 100 I = MAX( 1, J-KU ), MIN( M, J+KL )
                     AB( KU+1+I-J, J ) = A( I, J )
  100             CONTINUE
  110          CONTINUE
*
*              Copy C
*
               CALL SLACPY( 'Full', M, NRHS, C, LDC, CC, LDC )
*
*              Call SGBBRD to compute B, Q and P, and to update C.
*
               CALL SGBBRD( 'B', M, N, NRHS, KL, KU, AB, LDAB, BD, BE,
     $                      Q, LDQ, P, LDP, CC, LDC, WORK, IINFO )
*
               IF( IINFO.NE.0 ) THEN
                  WRITE( NOUNIT, FMT = 9999 )'SGBBRD', IINFO, N, JTYPE,
     $               IOLDSD
                  INFO = ABS( IINFO )
                  IF( IINFO.LT.0 ) THEN
                     RETURN
                  ELSE
                     RESULT( 1 ) = ULPINV
                     GO TO 120
                  END IF
               END IF
*
*              Test 1:  Check the decomposition A := Q * B * P'
*                   2:  Check the orthogonality of Q
*                   3:  Check the orthogonality of P
*                   4:  Check the computation of Q' * C
*
               CALL SBDT01( M, N, -1, A, LDA, Q, LDQ, BD, BE, P, LDP,
     $                      WORK, RESULT( 1 ) )
               CALL SORT01( 'Columns', M, M, Q, LDQ, WORK, LWORK,
     $                      RESULT( 2 ) )
               CALL SORT01( 'Rows', N, N, P, LDP, WORK, LWORK,
     $                      RESULT( 3 ) )
               CALL SBDT02( M, NRHS, C, LDC, CC, LDC, Q, LDQ, WORK,
     $                      RESULT( 4 ) )
*
*              End of Loop -- Check for RESULT(j) > THRESH
*
               NTEST = 4
  120          CONTINUE
               NTESTT = NTESTT + NTEST
*
*              Print out tests which fail.
*
               DO 130 JR = 1, NTEST
                  IF( RESULT( JR ).GE.THRESH ) THEN
                     IF( NERRS.EQ.0 )
     $                  CALL SLAHD2( NOUNIT, 'SBB' )
                     NERRS = NERRS + 1
                     WRITE( NOUNIT, FMT = 9998 )M, N, K, IOLDSD, JTYPE,
     $                  JR, RESULT( JR )
                  END IF
  130          CONTINUE
*
  140       CONTINUE
  150    CONTINUE
  160 CONTINUE
*
*     Summary
*
      CALL SLASUM( 'SBB', NOUNIT, NERRS, NTESTT )
      RETURN
*
 9999 FORMAT( ' SCHKBB: ', A, ' returned INFO=', I5, '.', / 9X, 'M=',
     $      I5, ' N=', I5, ' K=', I5, ', JTYPE=', I5, ', ISEED=(',
     $      3( I5, ',' ), I5, ')' )
 9998 FORMAT( ' M =', I4, ' N=', I4, ', K=', I3, ', seed=',
     $      4( I4, ',' ), ' type ', I2, ', test(', I2, ')=', G10.3 )
*
*     End of SCHKBB
*
      END
