NAME

       dbdsdc.f -

SYNOPSIS

   Functions/Subroutines
       subroutine dbdsdc (UPLO, COMPQ, N, D, E, U, LDU, VT, LDVT, Q, IQ, WORK, IWORK, INFO)
           DBDSDC

Function/Subroutine Documentation

   subroutine dbdsdc (character UPLO, character COMPQ, integer N, double precision, dimension( *
       ) D, double precision, dimension( * ) E, double precision, dimension( ldu, * ) U, integer
       LDU, double precision, dimension( ldvt, * ) VT, integer LDVT, double precision, dimension(
       * ) Q, integer, dimension( * ) IQ, double precision, dimension( * ) WORK, integer,
       dimension( * ) IWORK, integer INFO)
       DBDSDC

       Purpose:

            DBDSDC computes the singular value decomposition (SVD) of a real
            N-by-N (upper or lower) bidiagonal matrix B:  B = U * S * VT,
            using a divide and conquer method, where S is a diagonal matrix
            with non-negative diagonal elements (the singular values of B), and
            U and VT are orthogonal matrices of left and right singular vectors,
            respectively. DBDSDC can be used to compute all singular values,
            and optionally, singular vectors or singular vectors in compact form.

            This code makes very mild assumptions about floating point
            arithmetic. It will work on machines with a guard digit in
            add/subtract, or on those binary machines without guard digits
            which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or Cray-2.
            It could conceivably fail on hexadecimal or decimal machines
            without guard digits, but we know of none.  See DLASD3 for details.

            The code currently calls DLASDQ if singular values only are desired.
            However, it can be slightly modified to compute singular values
            using the divide and conquer method.

       Parameters:
           UPLO

                     UPLO is CHARACTER*1
                     = 'U':  B is upper bidiagonal.
                     = 'L':  B is lower bidiagonal.

           COMPQ

                     COMPQ is CHARACTER*1
                     Specifies whether singular vectors are to be computed
                     as follows:
                     = 'N':  Compute singular values only;
                     = 'P':  Compute singular values and compute singular
                             vectors in compact form;
                     = 'I':  Compute singular values and singular vectors.

           N

                     N is INTEGER
                     The order of the matrix B.  N >= 0.

           D

                     D is DOUBLE PRECISION array, dimension (N)
                     On entry, the n diagonal elements of the bidiagonal matrix B.
                     On exit, if INFO=0, the singular values of B.

           E

                     E is DOUBLE PRECISION array, dimension (N-1)
                     On entry, the elements of E contain the offdiagonal
                     elements of the bidiagonal matrix whose SVD is desired.
                     On exit, E has been destroyed.

           U

                     U is DOUBLE PRECISION array, dimension (LDU,N)
                     If  COMPQ = 'I', then:
                        On exit, if INFO = 0, U contains the left singular vectors
                        of the bidiagonal matrix.
                     For other values of COMPQ, U is not referenced.

           LDU

                     LDU is INTEGER
                     The leading dimension of the array U.  LDU >= 1.
                     If singular vectors are desired, then LDU >= max( 1, N ).

           VT

                     VT is DOUBLE PRECISION array, dimension (LDVT,N)
                     If  COMPQ = 'I', then:
                        On exit, if INFO = 0, VT**T contains the right singular
                        vectors of the bidiagonal matrix.
                     For other values of COMPQ, VT is not referenced.

           LDVT

                     LDVT is INTEGER
                     The leading dimension of the array VT.  LDVT >= 1.
                     If singular vectors are desired, then LDVT >= max( 1, N ).

           Q

                     Q is DOUBLE PRECISION array, dimension (LDQ)
                     If  COMPQ = 'P', then:
                        On exit, if INFO = 0, Q and IQ contain the left
                        and right singular vectors in a compact form,
                        requiring O(N log N) space instead of 2*N**2.
                        In particular, Q contains all the DOUBLE PRECISION data in
                        LDQ >= N*(11 + 2*SMLSIZ + 8*INT(LOG_2(N/(SMLSIZ+1))))
                        words of memory, where SMLSIZ is returned by ILAENV and
                        is equal to the maximum size of the subproblems at the
                        bottom of the computation tree (usually about 25).
                     For other values of COMPQ, Q is not referenced.

           IQ

                     IQ is INTEGER array, dimension (LDIQ)
                     If  COMPQ = 'P', then:
                        On exit, if INFO = 0, Q and IQ contain the left
                        and right singular vectors in a compact form,
                        requiring O(N log N) space instead of 2*N**2.
                        In particular, IQ contains all INTEGER data in
                        LDIQ >= N*(3 + 3*INT(LOG_2(N/(SMLSIZ+1))))
                        words of memory, where SMLSIZ is returned by ILAENV and
                        is equal to the maximum size of the subproblems at the
                        bottom of the computation tree (usually about 25).
                     For other values of COMPQ, IQ is not referenced.

           WORK

                     WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
                     If COMPQ = 'N' then LWORK >= (4 * N).
                     If COMPQ = 'P' then LWORK >= (6 * N).
                     If COMPQ = 'I' then LWORK >= (3 * N**2 + 4 * N).

           IWORK

                     IWORK is INTEGER array, dimension (8*N)

           INFO

                     INFO is INTEGER
                     = 0:  successful exit.
                     < 0:  if INFO = -i, the i-th argument had an illegal value.
                     > 0:  The algorithm failed to compute a singular value.
                           The update process of divide and conquer failed.

       Author:
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Date:
           November 2011

       Contributors:
           Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley,
           USA

Author

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