dstebz(3)

NAME

DSTEBZ - compute the eigenvalues of a symmetric tridiago
nal matrix T

SYNOPSIS

SUBROUTINE  DSTEBZ(  RANGE,  ORDER, N, VL, VU, IL, IU, ABSTOL, D, E, M, NSPLIT, W, IBLOCK, ISPLIT, WORK, IWORK, INFO )
    CHARACTER      ORDER, RANGE
    INTEGER        IL, INFO, IU, M, N, NSPLIT
    DOUBLE         PRECISION ABSTOL, VL, VU
    INTEGER        IBLOCK( * ), ISPLIT( * ), IWORK( * )
    DOUBLE         PRECISION D( * ), E( * ), W( * ), WORK(
* )

PURPOSE

DSTEBZ computes the eigenvalues of a symmetric tridiagonal
matrix T. The user may ask for all eigenvalues, all eigenvalues
in the half-open interval (VL, VU], or the IL-th through IU-th
eigenvalues.
To avoid overflow, the matrix must be scaled so that its
largest element is no greater than overflow**(1/2) *
underflow**(1/4) in absolute value, and for greatest
accuracy, it should not be much smaller than that.
See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiag
onal Matrix", Report CS41, Computer Science Dept., Stanford
University, July 21, 1966.

ARGUMENTS

RANGE (input) CHARACTER
= 'A': ("All") all eigenvalues will be found.
= 'V': ("Value") all eigenvalues in the half-open
interval (VL, VU] will be found. = 'I': ("Index") the IL-th
through IU-th eigenvalues (of the entire matrix) will be found.
ORDER (input) CHARACTER
= 'B': ("By Block") the eigenvalues will be
grouped by split-off block (see IBLOCK, ISPLIT) and ordered from
smallest to largest within the block. = 'E': ("Entire matrix")
the eigenvalues for the entire matrix will be ordered from small
est to largest.
N (input) INTEGER
The order of the tridiagonal matrix T. N >= 0.
VL (input) DOUBLE PRECISION
VU (input) DOUBLE PRECISION If RANGE='V', the
lower and upper bounds of the interval to be searched for eigen
values. Eigenvalues less than or equal to VL, or greater than
VU, will not be returned. VL < VU. Not referenced if RANGE =
'A' or 'I'.
IL (input) INTEGER
IU (input) INTEGER If RANGE='I', the indices
(in ascending order) of the smallest and largest eigenvalues to
be returned. 1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if
N = 0. Not referenced if RANGE = 'A' or 'V'.
ABSTOL (input) DOUBLE PRECISION
The absolute tolerance for the eigenvalues. An
eigenvalue (or cluster) is considered to be located if it has
been determined to lie in an interval whose width is ABSTOL or
less. If ABSTOL is less than or equal to zero, then ULP*|T| will
be used, where |T| means the 1-norm of T.
Eigenvalues will be computed most accurately when
ABSTOL is set to twice the underflow threshold 2*DLAMCH('S'), not
zero.
D (input) DOUBLE PRECISION array, dimension (N)
The n diagonal elements of the tridiagonal matrix
T.
E (input) DOUBLE PRECISION array, dimension (N-1)
The (n-1) off-diagonal elements of the tridiagonal
matrix T.
M (output) INTEGER
The actual number of eigenvalues found. 0 <= M <=
N. (See also the description of INFO=2,3.)
NSPLIT (output) INTEGER
The number of diagonal blocks in the matrix T. 1
<= NSPLIT <= N.
W (output) DOUBLE PRECISION array, dimension (N)
On exit, the first M elements of W will contain
the eigenvalues. (DSTEBZ may use the remaining N-M elements as
workspace.)
IBLOCK (output) INTEGER array, dimension (N)
At each row/column j where E(j) is zero or small,
the matrix T is considered to split into a block diagonal matrix.
On exit, if INFO = 0, IBLOCK(i) specifies to which block (from 1
to the number of blocks) the eigenvalue W(i) belongs. (DSTEBZ
may use the remaining N-M elements as workspace.)
ISPLIT (output) INTEGER array, dimension (N)
The splitting points, at which T breaks up into
submatrices. The first submatrix consists of rows/columns 1 to
ISPLIT(1), the second of rows/columns ISPLIT(1)+1 through IS
PLIT(2), etc., and the NSPLIT-th consists of rows/columns IS
PLIT(NSPLIT-1)+1 through ISPLIT(NSPLIT)=N. (Only the first
NSPLIT elements will actually be used, but since the user cannot
know a priori what value NSPLIT will have, N words must be re
served for ISPLIT.)
WORK (workspace) DOUBLE PRECISION array, dimension
(4*N)
IWORK (workspace) INTEGER array, dimension (3*N)
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an ille
gal value
> 0: some or all of the eigenvalues failed to
converge or
were not computed:
=1 or 3: Bisection failed to converge for some
eigenvalues; these eigenvalues are flagged by a negative block
number. The effect is that the eigenvalues may not be as accu
rate as the absolute and relative tolerances. This is generally
caused by unexpectedly inaccurate arithmetic. =2 or 3: RANGE='I'
only: Not all of the eigenvalues
IL:IU were found.
Effect: M < IU+1-IL
Cause: non-monotonic arithmetic, causing the
Sturm sequence to be non-monotonic. Cure: recalculate, using
RANGE='A', and pick
out eigenvalues IL:IU. In some cases, increasing
the PARAMETER "FUDGE" may make things work. = 4: RANGE='I',
and the Gershgorin interval initially used was too small. No
eigenvalues were computed. Probable cause: your machine has
sloppy floating-point arithmetic. Cure: Increase the PARAMETER
"FUDGE", recompile, and try again.

PARAMETERS

RELFAC DOUBLE PRECISION, default = 2.0e0
The relative tolerance. An interval (a,b] lies
within "relative tolerance" if b-a < RELFAC*ulp*max(|a|,|b|),
where "ulp" is the machine precision (distance from 1 to the next
larger floating point number.)
FUDGE DOUBLE PRECISION, default = 2
A "fudge factor" to widen the Gershgorin inter
vals. Ideally, a value of 1 should work, but on machines with
sloppy arithmetic, this needs to be larger. The default for pub
licly released versions should be large enough to handle the
worst machine around. Note that this has no effect on accuracy
of the solution.
LAPACK version 3.0 15 June 2000
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