SRC/chsein.f(3)

πŸ’– SRC/chsein.f πŸ’–

okay bestie, welcome to the Library Functions Manual glow-up for SRC/chsein.f β€” this is the page where CHSEIN lives, and she is lowkey iconic. no cap. 🫢

✨ NAME ✨

SRC/chsein.f β€” literally the source file for the CHSEIN subroutine. slay.


πŸ¦‹ SYNOPSIS πŸ¦‹

πŸ’… Functions/Subroutines

subroutine chsein (side, eigsrc, initv, select, n, h, ldh, w, vl, ldvl,
    vr, ldvr, mm, m, work, rwork, ifaill, ifailr, info)
CHSEIN

🌸 Function/Subroutine Documentation 🌸

πŸŽ€ subroutine chsein πŸŽ€

subroutine chsein (character side, character eigsrc, character initv,
    logical, dimension( * ) select, integer n, complex, dimension( ldh, * )
    h, integer ldh, complex, dimension( * ) w, complex, dimension( ldvl, * )
    vl, integer ldvl, complex, dimension( ldvr, * ) vr, integer ldvr,
    integer mm, integer m, complex, dimension( * ) work, real, dimension( *
    ) rwork, integer, dimension( * ) ifaill, integer, dimension( * ) ifailr,
    integer info)
CHSEIN

πŸ’– Purpose πŸ’–

okay so CHSEIN uses inverse iteration to find specified right and/or left eigenvectors of a complex upper Hessenberg matrix H. the way that it does this is genuinely giving main character energy. ✨

the right eigenvector x and the left eigenvector y of the matrix H corresponding to an eigenvalue w are defined by:

H * x = w * x,     y**h * H = w * y**h

where y**h denotes the conjugate transpose of the vector y. periodt. πŸ’…

πŸŽ€ Parameters πŸŽ€

  • SIDE β€” CHARACTER*1
    • = 'R': compute right eigenvectors only;
    • = 'L': compute left eigenvectors only;
    • = 'B': compute both right and left eigenvectors.
  • EIGSRC β€” CHARACTER*1
    • Specifies the source of eigenvalues supplied in W:
    • = 'Q': the eigenvalues were found using CHSEQR; thus, if H has zero subdiagonal elements, and so is block-triangular, then the j-th eigenvalue can be assumed to be an eigenvalue of the block containing the j-th row/column. This property allows CHSEIN to perform inverse iteration on just one diagonal block.
    • = 'N': no assumptions are made on the correspondence between eigenvalues and diagonal blocks. In this case, CHSEIN must always perform inverse iteration using the whole matrix H.
  • INITV β€” CHARACTER*1
    • = 'N': no initial vectors are supplied;
    • = 'U': user-supplied initial vectors are stored in the arrays VL and/or VR.
  • SELECT β€” LOGICAL array, dimension (N)
    • Specifies the eigenvectors to be computed. To select the eigenvector corresponding to the eigenvalue W(j), SELECT(j) must be set to .TRUE..
  • N β€” INTEGER
    • The order of the matrix H. N >= 0.
  • H β€” COMPLEX array, dimension (LDH,N)
    • The upper Hessenberg matrix H.
    • If a NaN is detected in H, the routine will return with INFO=-6.
  • LDH β€” INTEGER
    • The leading dimension of the array H. LDH >= max(1,N).
  • W β€” COMPLEX array, dimension (N)
    • On entry, the eigenvalues of H.
    • On exit, the real parts of W may have been altered since close eigenvalues are perturbed slightly in searching for independent eigenvectors.
  • VL β€” COMPLEX array, dimension (LDVL,MM)
    • On entry, if INITV = 'U' and SIDE = 'L' or 'B', VL must contain starting vectors for the inverse iteration for the left eigenvectors; the starting vector for each eigenvector must be in the same column in which the eigenvector will be stored.
    • On exit, if SIDE = 'L' or 'B', the left eigenvectors specified by SELECT will be stored consecutively in the columns of VL, in the same order as their eigenvalues.
    • If SIDE = 'R', VL is not referenced.
  • LDVL β€” INTEGER
    • The leading dimension of the array VL.
    • LDVL >= max(1,N) if SIDE = 'L' or 'B'; LDVL >= 1 otherwise.
  • VR β€” COMPLEX array, dimension (LDVR,MM)
    • On entry, if INITV = 'U' and SIDE = 'R' or 'B', VR must contain starting vectors for the inverse iteration for the right eigenvectors; the starting vector for each eigenvector must be in the same column in which the eigenvector will be stored.
    • On exit, if SIDE = 'R' or 'B', the right eigenvectors specified by SELECT will be stored consecutively in the columns of VR, in the same order as their eigenvalues.
    • If SIDE = 'L', VR is not referenced.
  • LDVR β€” INTEGER
    • The leading dimension of the array VR.
    • LDVR >= max(1,N) if SIDE = 'R' or 'B'; LDVR >= 1 otherwise.
  • MM β€” INTEGER
    • The number of columns in the arrays VL and/or VR. MM >= M.
  • M β€” INTEGER
    • The number of columns in the arrays VL and/or VR required to store the eigenvectors (= the number of .TRUE. elements in SELECT).
  • WORK β€” COMPLEX array, dimension (N*N)
  • RWORK β€” REAL array, dimension (N)
  • IFAILL β€” INTEGER array, dimension (MM)
    • If SIDE = 'L' or 'B', IFAILL(i) = j > 0 if the left eigenvector in the i-th column of VL (corresponding to the eigenvalue w(j)) failed to converge; IFAILL(i) = 0 if the eigenvector converged satisfactorily.
    • If SIDE = 'R', IFAILL is not referenced.
  • IFAILR β€” INTEGER array, dimension (MM)
    • If SIDE = 'R' or 'B', IFAILR(i) = j > 0 if the right eigenvector in the i-th column of VR (corresponding to the eigenvalue w(j)) failed to converge; IFAILR(i) = 0 if the eigenvector converged satisfactorily.
    • If SIDE = 'L', IFAILR is not referenced.
  • INFO β€” INTEGER
    • = 0: successful exit
    • < 0: if INFO = -i, the i-th argument had an illegal value
    • > 0: if INFO = i, i is the number of eigenvectors which failed to converge; see IFAILL and IFAILR for further details.

πŸ‘‘ Author πŸ‘‘

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

πŸ¦‹ Further Details πŸ¦‹

Each eigenvector is normalized so that the element of largest magnitude has magnitude 1; here the magnitude of a complex number (x,y) is taken to be |x|+|y|. that's the whole rule, bestie. no extra lore. πŸ’œ

πŸ“ Definition at line 242 of file chsein.f πŸ“


πŸ’œ Author πŸ’œ

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