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    | SRC/zhetrd_hb2st.F(3) | LAPACK | SRC/zhetrd_hb2st.F(3) |  
 subroutine zhetrd_hb2st (stage1, vect, uplo, n, kd, ab,
    ldab, d, e, hous, lhous, work, lwork, info)
  ZHETRD_HB2ST reduces a complex Hermitian band matrix A to real
    symmetric tridiagonal form T
 
 ZHETRD_HB2ST reduces a complex Hermitian band matrix A to
    real symmetric tridiagonal form T Purpose: 
ZHETRD_HB2ST reduces a complex Hermitian band matrix A to real symmetric
 tridiagonal form T by a unitary similarity transformation:
 Q**H * A * Q = T.
 Parameters STAGE1
STAGE1 is CHARACTER*1
 = 'N':  'No': to mention that the stage 1 of the reduction
 from dense to band using the zhetrd_he2hb routine
 was not called before this routine to reproduce AB.
 In other term this routine is called as standalone.
 = 'Y':  'Yes': to mention that the stage 1 of the
 reduction from dense to band using the zhetrd_he2hb
 routine has been called to produce AB (e.g., AB is
 the output of zhetrd_he2hb.
 VECT 
VECT is CHARACTER*1
 = 'N':  No need for the Housholder representation,
 and thus LHOUS is of size max(1, 4*N);
 = 'V':  the Householder representation is needed to
 either generate or to apply Q later on,
 then LHOUS is to be queried and computed.
 (NOT AVAILABLE IN THIS RELEASE).
 UPLO 
UPLO is CHARACTER*1
 = 'U':  Upper triangle of A is stored;
 = 'L':  Lower triangle of A is stored.
 N 
N is INTEGER
 The order of the matrix A.  N >= 0.
 KD 
KD is INTEGER
 The number of superdiagonals of the matrix A if UPLO = 'U',
 or the number of subdiagonals if UPLO = 'L'.  KD >= 0.
 AB 
AB is COMPLEX*16 array, dimension (LDAB,N)
 On entry, the upper or lower triangle of the Hermitian band
 matrix A, stored in the first KD+1 rows of the array.  The
 j-th column of A is stored in the j-th column of the array AB
 as follows:
 if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
 if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).
 On exit, the diagonal elements of AB are overwritten by the
 diagonal elements of the tridiagonal matrix T; if KD > 0, the
 elements on the first superdiagonal (if UPLO = 'U') or the
 first subdiagonal (if UPLO = 'L') are overwritten by the
 off-diagonal elements of T; the rest of AB is overwritten by
 values generated during the reduction.
 LDAB 
LDAB is INTEGER
 The leading dimension of the array AB.  LDAB >= KD+1.
 D 
D is DOUBLE PRECISION array, dimension (N)
 The diagonal elements of the tridiagonal matrix T.
 E 
E is DOUBLE PRECISION array, dimension (N-1)
 The off-diagonal elements of the tridiagonal matrix T:
 E(i) = T(i,i+1) if UPLO = 'U'; E(i) = T(i+1,i) if UPLO = 'L'.
 HOUS 
HOUS is COMPLEX*16 array, dimension LHOUS, that
 store the Householder representation.
 LHOUS 
LHOUS is INTEGER
 The dimension of the array HOUS. LHOUS = MAX(1, dimension)
 If LWORK = -1, or LHOUS=-1,
 then a query is assumed; the routine
 only calculates the optimal size of the HOUS array, returns
 this value as the first entry of the HOUS array, and no error
 message related to LHOUS is issued by XERBLA.
 LHOUS = MAX(1, dimension) where
 dimension = 4*N if VECT='N'
 not available now if VECT='H'
 WORK 
WORK is COMPLEX*16 array, dimension LWORK.
 LWORK 
LWORK is INTEGER
 The dimension of the array WORK. LWORK = MAX(1, dimension)
 If LWORK = -1, or LHOUS=-1,
 then a workspace query is assumed; the routine
 only calculates the optimal size of the WORK array, returns
 this value as the first entry of the WORK array, and no error
 message related to LWORK is issued by XERBLA.
 LWORK = MAX(1, dimension) where
 dimension   = (2KD+1)*N + KD*NTHREADS
 where KD is the blocking size of the reduction,
 FACTOPTNB is the blocking used by the QR or LQ
 algorithm, usually FACTOPTNB=128 is a good choice
 NTHREADS is the number of threads used when
 openMP compilation is enabled, otherwise =1.
 INFO 
INFO is INTEGER
 = 0:  successful exit
 < 0:  if INFO = -i, the i-th argument had an illegal value
 Author Univ. of Tennessee
 Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd.Further Details: 
Implemented by Azzam Haidar.
 All details are available on technical report, SC11, SC13 papers.
 Azzam Haidar, Hatem Ltaief, and Jack Dongarra.
 Parallel reduction to condensed forms for symmetric eigenvalue problems
 using aggregated fine-grained and memory-aware kernels. In Proceedings
 of 2011 International Conference for High Performance Computing,
 Networking, Storage and Analysis (SC '11), New York, NY, USA,
 Article 8 , 11 pages.
 http://doi.acm.org/10.1145/2063384.2063394
 A. Haidar, J. Kurzak, P. Luszczek, 2013.
 An improved parallel singular value algorithm and its implementation
 for multicore hardware, In Proceedings of 2013 International Conference
 for High Performance Computing, Networking, Storage and Analysis (SC '13).
 Denver, Colorado, USA, 2013.
 Article 90, 12 pages.
 http://doi.acm.org/10.1145/2503210.2503292
 A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra.
 A novel hybrid CPU-GPU generalized eigensolver for electronic structure
 calculations based on fine-grained memory aware tasks.
 International Journal of High Performance Computing Applications.
 Volume 28 Issue 2, Pages 196-209, May 2014.
 http://hpc.sagepub.com/content/28/2/196
 Definition at line 228 of file zhetrd_hb2st.F. Generated automatically by Doxygen for LAPACK from the source
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