SRC/sstebz.f(3)
β¨ NAME β¨
okay so this page is for SRC/sstebz.f, and the manual name is Library Functions Manual β we are literally in the right doc, bestie π
.
πΈ SYNOPSIS πΈ
Functions/Subroutines
subroutine sstebz (range, order, n, vl, vu, il, iu, abstol, d, e, m,
nsplit, w, iblock, isplit, work, iwork, info)
SSTEBZ is the whole main character here.
π FUNCTION/SUBROUTINE DOCUMENTATION π
sstebz
Full signature, no cap:
subroutine sstebz (character range, character order, integer n, real vl,
real vu, integer il, integer iu, real abstol, real, dimension( * ) d,
real, dimension( * ) e, integer m, integer nsplit, real, dimension( * )
w, integer, dimension( * ) iblock, integer, dimension( * ) isplit, real,
dimension( * ) work, integer, dimension( * ) iwork, integer info)
SSTEBZ β that's the subroutine, periodt.
π PURPOSE π
SSTEBZ 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 , Report CS41, Computer Science Dept., Stanford University, July 21, 1966.
β¨ PARAMETERS β¨
vibe check: every single parameter, every single value, we are not skipping a crumb π
RANGEβRANGE is CHARACTER*1.= 'A': () all eigenvalues will be found.= 'V': () all eigenvalues in the half-open interval (VL, VU] will be found.= 'I': () the IL-th through IU-th eigenvalues (of the entire matrix) will be found.
ORDERβORDER is CHARACTER*1.= 'B': () the eigenvalues will be grouped by split-off block (see IBLOCK, ISPLIT) and ordered from smallest to largest within the block.= 'E': () the eigenvalues for the entire matrix will be ordered from smallest to largest.
NβN is INTEGER. The order of the tridiagonal matrixT.N >= 0.VLβVL is REAL. IfRANGE='V', the lower bound of the interval to be searched for eigenvalues. Eigenvalues less than or equal toVL, or greater thanVU, will not be returned.VL < VU. Not referenced ifRANGE = 'A' or 'I'.VUβVU is REAL. IfRANGE='V', the upper bound of the interval to be searched for eigenvalues. Eigenvalues less than or equal toVL, or greater thanVU, will not be returned.VL < VU. Not referenced ifRANGE = 'A' or 'I'.ILβIL is INTEGER. IfRANGE='I', the index of the smallest eigenvalue to be returned.1 <= IL <= IU <= N, ifN > 0;IL = 1andIU = 0ifN = 0. Not referenced ifRANGE = 'A' or 'V'.IUβIU is INTEGER. IfRANGE='I', the index of the largest eigenvalue to be returned.1 <= IL <= IU <= N, ifN > 0;IL = 1andIU = 0ifN = 0. Not referenced ifRANGE = 'A' or 'V'.ABSTOLβABSTOL is REAL. 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 isABSTOLor less. IfABSTOLis less than or equal to zero, thenULP*|T|will be used, where|T|means the 1-norm ofT. Eigenvalues will be computed most accurately whenABSTOLis set to twice the underflow threshold2*SLAMCH('S'), not zero.DβD is REAL array, dimension (N). Thendiagonal elements of the tridiagonal matrixT.EβE is REAL array, dimension (N-1). The(n-1)off-diagonal elements of the tridiagonal matrixT.MβM is INTEGER. The actual number of eigenvalues found.0 <= M <= N. (See also the description ofINFO=2,3.)NSPLITβNSPLIT is INTEGER. The number of diagonal blocks in the matrixT.1 <= NSPLIT <= N.WβW is REAL array, dimension (N). On exit, the firstMelements ofWwill contain the eigenvalues. (SSTEBZmay use the remainingN-Melements as workspace.)IBLOCKβIBLOCK is INTEGER array, dimension (N). At each row/columnjwhereE(j)is zero or small, the matrixTis considered to split into a block diagonal matrix. On exit, ifINFO = 0,IBLOCK(i)specifies to which block (from 1 to the number of blocks) the eigenvalueW(i)belongs. (SSTEBZmay use the remainingN-Melements as workspace.)ISPLITβISPLIT is INTEGER array, dimension (N). The splitting points, at whichTbreaks up into submatrices. The first submatrix consists of rows/columns1toISPLIT(1), the second of rows/columnsISPLIT(1)+1throughISPLIT(2), etc., and theNSPLIT-th consists of rows/columnsISPLIT(NSPLIT-1)+1throughISPLIT(NSPLIT)=N. (Only the firstNSPLITelements will actually be used, but since the user cannot know a priori what valueNSPLITwill have,Nwords must be reserved forISPLIT.)WORKβWORK is REAL array, dimension (4*N).IWORKβIWORK is INTEGER array, dimension (3*N).INFOβINFO is INTEGER.
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal 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 accurate 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 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 ,
recompile, and try again.
π¦ INTERNAL PARAMETERS π¦
RELFACβREAL, default = 2.0e0. The relative tolerance. An interval(a,b]lies within ifb-a < RELFAC*ulp*max(|a|,|b|), where is the machine precision (distance from1to the next larger floating point number.)FUDGEβREAL, default = 2.A to widenthe Gershgorin intervals. Ideally, a value of1should work, but on machines with sloppy arithmetic, this needs to be larger. The default for publicly released versions should be large enough to handle the worst machine around. Note that this has no effect on accuracy of the solution.
π AUTHOR π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 270 of file sstebz.f.
π AUTHOR (AUTO-GENERATED) π
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