SRC/slaqr3.f(3)

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🎀 NAME 🎀

SRC/slaqr3.f

✨ SYNOPSIS ✨

🦋 Functions/Subroutines 🦋

• subroutine slaqr3 (wantt, wantz, n, ktop, kbot, nw, h, ldh, iloz, ihiz, z, ldz, ns, nd, sr, si, v, ldv, nh, t, ldt, nv, wv, ldwv, work, lwork) — SLAQR3 performs the orthogonal similarity transformation of a Hessenberg matrix to detect and deflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation).

💖 Function/Subroutine Documentation 💖

🌸 subroutine slaqr3 🌸

subroutine slaqr3 (logical wantt, logical wantz, integer n, integer ktop,
       integer kbot, integer nw, real, dimension( ldh, * ) h, integer ldh,
       integer iloz, integer ihiz, real, dimension( ldz, * ) z, integer ldz,
       integer ns, integer nd, real, dimension( * ) sr, real, dimension( * )
       si, real, dimension( ldv, * ) v, integer ldv, integer nh, real,
       dimension( ldt, * ) t, integer ldt, integer nv, real, dimension( ldwv, *
       ) wv, integer ldwv, real, dimension( * ) work, integer lwork)

SLAQR3 performs the orthogonal similarity transformation of a Hessenberg matrix to detect and deflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation).

🔥 Purpose 🔥

Aggressive early deflation: SLAQR3 accepts as input an upper Hessenberg matrix H and performs an orthogonal similarity transformation designed to detect and deflate fully converged eigenvalues from a trailing principal submatrix. On output H has been over-written by a new Hessenberg matrix that is a perturbation of an orthogonal similarity transformation of H. It is to be hoped that the final version of H has many zero subdiagonal entries.

💅 Parameters 💅

• WANTT — WANTT is LOGICAL. If .TRUE., then the Hessenberg matrix H is fully updated so that the quasi-triangular Schur factor may be computed (in cooperation with the calling subroutine). If .FALSE., then only enough of H is updated to preserve the eigenvalues.
• WANTZ — WANTZ is LOGICAL. If .TRUE., then the orthogonal matrix Z is updated so that the orthogonal Schur factor may be computed (in cooperation with the calling subroutine). If .FALSE., then Z is not referenced.
• N — N is INTEGER. The order of the matrix H and (if WANTZ is .TRUE.) the order of the orthogonal matrix Z.
• KTOP — KTOP is INTEGER. It is assumed that either KTOP = 1 or H(KTOP,KTOP-1)=0. KBOT and KTOP together determine an isolated block along the diagonal of the Hessenberg matrix.
• KBOT — KBOT is INTEGER. It is assumed without a check that either KBOT = N or H(KBOT+1,KBOT)=0. KBOT and KTOP together determine an isolated block along the diagonal of the Hessenberg matrix.
• NW — NW is INTEGER. Deflation window size. 1 <= NW <= (KBOT-KTOP+1).
• H — H is REAL array, dimension (LDH,N). On input the initial N-by-N section of H stores the Hessenberg matrix undergoing aggressive early deflation. On output H has been transformed by an orthogonal similarity transformation, perturbed, and returned to Hessenberg form that (it is to be hoped) has some zero subdiagonal entries.
• LDH — LDH is INTEGER. Leading dimension of H just as declared in the calling subroutine. N <= LDH.
• ILOZ — ILOZ is INTEGER.
• IHIZ — IHIZ is INTEGER. Specify the rows of Z to which transformations must be applied if WANTZ is .TRUE.. 1 <= ILOZ <= IHIZ <= N.
• Z — Z is REAL array, dimension (LDZ,N). If WANTZ is .TRUE., then on output, the orthogonal similarity transformation mentioned above has been accumulated into Z(ILOZ:IHIZ,ILOZ:IHIZ) from the right. If WANTZ is .FALSE., then Z is unreferenced.
• LDZ — LDZ is INTEGER. The leading dimension of Z just as declared in the calling subroutine. 1 <= LDZ.
• NS — NS is INTEGER. The number of unconverged (ie approximate) eigenvalues returned in SR and SI that may be used as shifts by the calling subroutine.
• ND — ND is INTEGER. The number of converged eigenvalues uncovered by this subroutine.
• SR — SR is REAL array, dimension (KBOT).
• SI — SI is REAL array, dimension (KBOT). On output, the real and imaginary parts of approximate eigenvalues that may be used for shifts are stored in SR(KBOT-ND-NS+1) through SR(KBOT-ND) and SI(KBOT-ND-NS+1) through SI(KBOT), respectively. The real and imaginary parts of converged eigenvalues are stored in SR(KBOT-ND+1) through SR(KBOT) and SI(KBOT-ND+1) through SI(KBOT), respectively.
• V — V is REAL array, dimension (LDV,NW). An NW-by-NW work array.
• LDV — LDV is INTEGER. The leading dimension of V just as declared in the calling subroutine. NW <= LDV.
• NH — NH is INTEGER. The number of columns of T. NH >= NW.
• T — T is REAL array, dimension (LDT,NW).
• LDT — LDT is INTEGER. The leading dimension of T just as declared in the calling subroutine. NW <= LDT.
• NV — NV is INTEGER. The number of rows of work array WV available for workspace. NV >= NW.
• WV — WV is REAL array, dimension (LDWV,NW).
• LDWV — LDWV is INTEGER. The leading dimension of W just as declared in the calling subroutine. NW <= LDV.
• WORK — WORK is REAL array, dimension (LWORK). On exit, WORK(1) is set to an estimate of the optimal value of LWORK for the given values of N, NW, KTOP and KBOT.
• LWORK — LWORK is INTEGER. The dimension of the work array WORK. LWORK = 2*NW suffices, but greater efficiency may result from larger values of LWORK.
  • If LWORK = -1, then a workspace query is assumed; SLAQR3 only estimates the optimal workspace size for the given values of N, NW, KTOP and KBOT. The estimate is returned in WORK(1). No error message related to LWORK is issued by XERBLA. Neither H nor Z are accessed.

🫶 Author 🫶

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

🎀 Contributors: 🎀

• Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA

📍 Definition 📍

Definition at line 272 of file slaqr3.f.

💖 Author 💖

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