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## org.netlib.lapack
Class Sstevd

    java.lang.Object
      org.netlib.lapack.Sstevd

    public class Sstevd

extends java.lang.Object

    Following is the description from the original
    Fortran source.  For each array argument, the Java
    version will include an integer offset parameter, so
    the arguments may not match the description exactly.
    Contact seymour@cs.utk.edu with any questions.

     *     ..
     *
     *  Purpose
     *  =======
     *
     *  SSTEVD computes all eigenvalues and, optionally, eigenvectors of a
     *  real symmetric tridiagonal matrix. If eigenvectors are desired, it
     *  uses a divide and conquer algorithm.
     *
     *  The divide and conquer algorithm 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.
     *
     *  Arguments
     *  =========
     *
     *  JOBZ    (input) CHARACTER*1
     *          = 'N':  Compute eigenvalues only;
     *          = 'V':  Compute eigenvalues and eigenvectors.
     *
     *  N       (input) INTEGER
     *          The order of the matrix.  N >= 0.
     *
     *  D       (input/output) REAL array, dimension (N)
     *          On entry, the n diagonal elements of the tridiagonal matrix
     *          A.
     *          On exit, if INFO = 0, the eigenvalues in ascending order.
     *
     *  E       (input/output) REAL array, dimension (N-1)
     *          On entry, the (n-1) subdiagonal elements of the tridiagonal
     *          matrix A, stored in elements 1 to N-1 of E.
     *          On exit, the contents of E are destroyed.
     *
     *  Z       (output) REAL array, dimension (LDZ, N)
     *          If JOBZ = 'V', then if INFO = 0, Z contains the orthonormal
     *          eigenvectors of the matrix A, with the i-th column of Z
     *          holding the eigenvector associated with D(i).
     *          If JOBZ = 'N', then Z is not referenced.
     *
     *  LDZ     (input) INTEGER
     *          The leading dimension of the array Z.  LDZ >= 1, and if
     *          JOBZ = 'V', LDZ >= max(1,N).
     *
     *  WORK    (workspace/output) REAL array,
     *                                         dimension (LWORK)
     *          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
     *
     *  LWORK   (input) INTEGER
     *          The dimension of the array WORK.
     *          If JOBZ  = 'N' or N <= 1 then LWORK must be at least 1.
     *          If JOBZ  = 'V' and N > 1 then LWORK must be at least
     *                         ( 1 + 4*N + N**2 ).
     *
     *          If LWORK = -1, then a workspace query is assumed; the routine
     *          only calculates the optimal sizes of the WORK and IWORK
     *          arrays, returns these values as the first entries of the WORK
     *          and IWORK arrays, and no error message related to LWORK or
     *          LIWORK is issued by XERBLA.
     *
     *  IWORK   (workspace/output) INTEGER array, dimension (MAX(1,LIWORK))
     *          On exit, if INFO = 0, IWORK(1) returns the optimal LIWORK.
     *
     *  LIWORK  (input) INTEGER
     *          The dimension of the array IWORK.
     *          If JOBZ  = 'N' or N <= 1 then LIWORK must be at least 1.
     *          If JOBZ  = 'V' and N > 1 then LIWORK must be at least 3+5*N.

     *
     *          If LIWORK = -1, then a workspace query is assumed; the
     *          routine only calculates the optimal sizes of the WORK and
     *          IWORK arrays, returns these values as the first entries of
     *          the WORK and IWORK arrays, and no error message related to
     *          LWORK or LIWORK is issued by XERBLA.
     *
     *  INFO    (output) INTEGER
     *          = 0:  successful exit
     *          < 0:  if INFO = -i, the i-th argument had an illegal value
     *          > 0:  if INFO = i, the algorithm failed to converge; i
     *                off-diagonal elements of E did not converge to zero.
     *
     *  =====================================================================
     *
     *     .. Parameters ..

Constructor Summary
`Sstevd()`

Method Summary
`static void` | `sstevd(java.lang.String jobz, int n, float[] d, int _d_offset, float[] e, int _e_offset, float[] z, int _z_offset, int ldz, float[] work, int _work_offset, int lwork, int[] iwork, int _iwork_offset, int liwork, intW info)`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### Sstevd

    public Sstevd()

Method Detail

### sstevd

    public static void sstevd(java.lang.String jobz,
                              int n,
                              float[] d,
                              int _d_offset,
                              float[] e,
                              int _e_offset,
                              float[] z,
                              int _z_offset,
                              int ldz,
                              float[] work,
                              int _work_offset,
                              int lwork,
                              int[] iwork,
                              int _iwork_offset,
                              int liwork,
                              intW info)

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