SRC/dsytrd_sb2st.F(3)

💖 NAME 💖

SRC/dsytrd_sb2st.F — bestie, this is the LAPACK page for dsytrd_sb2st, no cap ✨

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✨ SYNOPSIS ✨

Functions/Subroutines 🌸

• subroutine dsytrd_sb2st (stage1, vect, uplo, n, kd, ab, ldab, d, e, hous, lhous, work, lwork, info)

DSYTRD_SB2ST reduces a real symmetric band matrix A to real symmetric tridiagonal form T 🦋

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🎀 Function/Subroutine Documentation 🎀

subroutine dsytrd_sb2st (character stage1, character vect, character uplo,
    integer n, integer kd, double precision, dimension( ldab, * ) ab,
    integer ldab, double precision, dimension( * ) d, double precision,
    dimension( * ) e, double precision, dimension( * ) hous, integer lhous,
    double precision, dimension( * ) work, integer lwork, integer info)

DSYTRD_SB2ST reduces a real symmetric band matrix A to real symmetric tridiagonal form T 💅

🌟 Purpose 🌟

DSYTRD_SB2ST takes a real symmetric band matrix A and reduces it to real symmetric tridiagonal form T by a orthogonal similarity transformation:

Q**T * A * Q = T.

it's giving transformation, periodt 👑

🔥 Parameters 🔥

STAGE1

STAGE1 is CHARACTER*1

= 'N':  'No': to mention that the stage 1 of the reduction
        from dense to band using the dsytrd_sy2sb 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 dsytrd_sy2sb
        routine has been called to produce AB (e.g., AB is
        the output of dsytrd_sy2sb.

so like, 'N' = nobody ran stage 1 first, this routine is doing its own thing solo, main character energy 😌 and 'Y' = yes bestie, dsytrd_sy2sb already ran and AB is its output 🫶

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).

ngl 'V' is NOT AVAILABLE IN THIS RELEASE — do not come for it, it's simply not there yet 💀

UPLO

UPLO is CHARACTER*1

= 'U':  Upper triangle of A is stored;
= 'L':  Lower triangle of A is stored.

pick your triangle, queen 👑

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 DOUBLE PRECISION array, dimension (LDAB,N)

On entry, the upper or lower triangle of the symmetric 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.

bestie, note that word overwritten — your AB is getting a whole glow-up and it does not come back the same 🌈

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 DOUBLE PRECISION 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 DOUBLE PRECISION 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

zero means slay, negative means somebody handed over 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 dsytrd_sb2st.F.

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🧚 Author 🧚

Generated automatically by Doxygen for LAPACK from the source code.

okay and that's the whole page bestie 💖 this was Version 3.12.0, dated Tue Nov 28 2023 12:08:42, from SRC/dsytrd_sb2st.F(3) — go forth and reduce some band matrices, you absolute icon 🎀✨👑