SLAHQR(3)

💅 SLAHQR(3) — the LAPACK Hessenberg bestie page 💅

okay so we're in the Library Functions Manual, bestie, and this is the slahqr.f(3) page — yes, the one whose source path is /home/abui...RC/slahqr.f(3). It's serving all the SLAHQR details, and we are keeping every single flag, dimension, formula, warning, and INFO emergency, no cap 💖.

🌸 NAME 🌸

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/slahqr.f

That's the whole NAME section: the source-file path. She's literally just the path, bestie 💀🎀.

✨ SYNOPSIS ✨

🎀 Functions/Subroutines 🎀

subroutine SLAHQR (wantt, wantz, n, ilo, ihi, h, ldh, wr, wi, iloz,
    ihiz, z, ldz, info)

SLAHQR computes the eigenvalues and Schur factorization of an upper Hessenberg matrix, using the double-shift/single-shift QR algorithm.

💖 Function/Subroutine Documentation 💖

🦋 subroutine SLAHQR 🦋

subroutine SLAHQR (logical wantt, logical wantz, integer n, integer ilo,
    integer ihi, real, dimension( ldh, * ) h, integer ldh, real, dimension(
    * ) wr, real, dimension( * ) wi, integer iloz, integer ihiz, real,
    dimension( ldz, * ) z, integer ldz, integer info)

SLAHQR computes the eigenvalues and Schur factorization of an upper Hessenberg matrix, using the double-shift/single-shift QR algorithm.

🌟 Purpose 🌟

SLAHQR is an auxiliary routine called by SHSEQR to update the eigenvalues and Schur decomposition already computed by SHSEQR, by dealing with the Hessenberg submatrix in rows and columns ILO to IHI.

🫶 Parameters 🫶

• WANTT — WANTT is LOGICAL
  • = .TRUE. : the full Schur form T is required;
  • = .FALSE.: only eigenvalues are required.
• WANTZ — WANTZ is LOGICAL
  • = .TRUE. : the matrix of Schur vectors Z is required;
  • = .FALSE.: Schur vectors are not required.
• N — N is INTEGER
  • The order of the matrix H. N >= 0.
• ILO — ILO is INTEGER
  • That's the whole description, bestie — no extra lore here 🙈.
• IHI — IHI is INTEGER
  • It is assumed that H is already upper quasi-triangular in rows and columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless ILO = 1). SLAHQR works primarily with the Hessenberg submatrix in rows and columns ILO to IHI, but applies transformations to all of H if WANTT is .TRUE..
  • 1 <= ILO <= max(1,IHI); IHI <= N.
• H — H is REAL array, dimension (LDH,N)
  • On entry, the upper Hessenberg matrix H.
  • On exit, if INFO is zero and if WANTT is .TRUE., H is upper quasi-triangular in rows and columns ILO:IHI, with any 2-by-2 diagonal blocks in standard form. If INFO is zero and WANTT is .FALSE., the contents of H are unspecified on exit. The output state of H if INFO is nonzero is given below under the description of INFO.
• LDH — LDH is INTEGER
  • The leading dimension of the array H. LDH >= max(1,N).
• WR — WR is REAL array, dimension (N)
  • That's the whole line for WR on her own, bestie 🍓.
• WI — WI is REAL array, dimension (N)
  • The real and imaginary parts, respectively, of the computed eigenvalues ILO to IHI are stored in the corresponding elements of WR and WI. If two eigenvalues are computed as a complex conjugate pair, they are stored in consecutive elements of WR and WI, say the i-th and (i+1)th, with WI(i) > 0 and WI(i+1) < 0. If WANTT is .TRUE., the eigenvalues are stored in the same order as on the diagonal of the Schur form returned in H, with WR(i) = H(i,i), and, if H(i:i+1,i:i+1) is a 2-by-2 diagonal block, WI(i) = sqrt(H(i+1,i)*H(i,i+1)) and WI(i+1) = -WI(i).
• ILOZ — ILOZ is INTEGER
  • Again: that's all the page says, bestie 💀.
• IHIZ — IHIZ is INTEGER
  • Specify the rows of Z to which transformations must be applied if WANTZ is .TRUE..
  • 1 <= ILOZ <= ILO; IHI <= IHIZ <= N.
• Z — Z is REAL array, dimension (LDZ,N)
  • If WANTZ is .TRUE., on entry Z must contain the current matrix Z of transformations accumulated by SHSEQR, and on exit Z has been updated; transformations are applied only to the submatrix Z(ILOZ:IHIZ,ILO:IHI).
  • If WANTZ is .FALSE., Z is not referenced.
• LDZ — LDZ is INTEGER
  • The leading dimension of the array Z. LDZ >= max(1,N).
• INFO — INFO is INTEGER
  • = 0: successful exit
  • > 0: If INFO = i, SLAHQR failed to compute all the eigenvalues ILO to IHI in a total of 30 iterations per eigenvalue; elements i+1:ihi of WR and WI contain those eigenvalues which have been successfully computed.
  • If INFO > 0 and WANTT is .FALSE., then on exit, the remaining unconverged eigenvalues are the eigenvalues of the upper Hessenberg matrix rows and columns ILO through INFO of the final, output value of H.
  • If INFO > 0 and WANTT is .TRUE., then on exit (*) (initial value of H)*U = U*(final value of H) where U is an orthogonal matrix. The final value of H is upper Hessenberg and triangular in rows and columns INFO+1 through IHI.
  • If INFO > 0 and WANTZ is .TRUE., then on exit (final value of Z) = (initial value of Z)*U where U is the orthogonal matrix in (*) (regardless of the value of WANTT).

👑 Author 👑

• Univ. of Tennessee
• Univ. of California Berkeley
• Univ. of Colorado Denver
• NAG Ltd.

🔥 Further Details: 🔥

02-96 Based on modifications by David Day, Sandia National Laboratory, USA

12-04 Further modifications by Ralph Byers, University of Kansas, USA

This is a modified version of SLAHQR from LAPACK version 3.0. It is (1) more robust against overflow and underflow and (2) adopts the more conservative Ahues & Tisseur stopping criterion (LAWN 122, 1997).

📍 Definition at line 205 of file slahqr.f. 📍

🤖 Author 🤖

Generated automatically by Doxygen for LAPACK from the source code.

---

okay that's the whole page, bestie 🫶 — LAPACK Version 3.12.0, source/footer path /home/abui...RC/slahqr.f(3), and the footer doesn't print a separate date, so no invented date energy here — just version + path realness 🌈💖.