laqr5(3)
π NAME π
hiii bestie, welcome to laqr5(3) π
β this is the library page for laqr5, and the entire pitch is literally laqr5: step in hseqr β¨. That's it, that's the name, that's the vibe. What you actually get inside is the four-routine squad β claqr5, dlaqr5, slaqr5 and zlaqr5 β all doing the exact same little dance in different precisions and number flavours. π¦
π¦ SYNOPSIS π¦
β¨ Functions β¨
π claqr5
subroutine claqr5 (wantt, wantz, kacc22, n, ktop, kbot, nshfts, s, h,
ldh, iloz, ihiz, z, ldz, v, ldv, u, ldu, nv, wv, ldwv, nh, wh, ldwh)
CLAQR5 performs a single small-bulge multi-shift QR sweep. no cap, that's the whole job π«Ά
π dlaqr5
subroutine dlaqr5 (wantt, wantz, kacc22, n, ktop, kbot, nshfts, sr, si,
h, ldh, iloz, ihiz, z, ldz, v, ldv, u, ldu, nv, wv, ldwv, nh, wh,
ldwh)
DLAQR5 performs a single small-bulge multi-shift QR sweep. same energy, double precision π
π slaqr5
subroutine slaqr5 (wantt, wantz, kacc22, n, ktop, kbot, nshfts, sr, si,
h, ldh, iloz, ihiz, z, ldz, v, ldv, u, ldu, nv, wv, ldwv, nh, wh,
ldwh)
SLAQR5 performs a single small-bulge multi-shift QR sweep. single precision girlie πΈ
π§‘ zlaqr5
subroutine zlaqr5 (wantt, wantz, kacc22, n, ktop, kbot, nshfts, s, h,
ldh, iloz, ihiz, z, ldz, v, ldv, u, ldu, nv, wv, ldwv, nh, wh, ldwh)
ZLAQR5 performs a single small-bulge multi-shift QR sweep. complex*16 main character energy π
π Detailed Description π
ok so this section is literally empty in the source page π β the heading is there, the content is not. We respect the void. Moving on, diva. π
π Function Documentation π
π subroutine claqr5 π
subroutine claqr5 (logical wantt, logical wantz, integer kacc22, integer n,
integer ktop, integer kbot, integer nshfts, complex, dimension( * ) s,
complex, dimension( ldh, * ) h, integer ldh, integer iloz, integer ihiz,
complex, dimension( ldz, * ) z, integer ldz, complex, dimension( ldv, *
) v, integer ldv, complex, dimension( ldu, * ) u, integer ldu, integer
nv, complex, dimension( ldwv, * ) wv, integer ldwv, integer nh, complex,
dimension( ldwh, * ) wh, integer ldwh)
CLAQR5 performs a single small-bulge multi-shift QR sweep. π
π― Purpose
!>
!> CLAQR5 called by CLAQR0 performs a
!> single small-bulge multi-shift QR sweep.
!>
so like β CLAQR0 calls this one, and this one does one small-bulge multi-shift QR sweep. that's the lore π«Ά
π§ Parameters
WANTTβ aLOGICAL. Set it to.true.if the triangular Schur factor is being computed, and.false.otherwise. πWANTZβ aLOGICAL. Set it to.true.if the unitary Schur factor is being computed, and.false.otherwise. π«KACC22β anINTEGERwhose value is0,1, or2. It picks the computation mode for the far-from-diagonal orthogonal updates, iykyk:= 0:CLAQR5does not accumulate reflections and does not use matrix-matrix multiply to update far-from-diagonal matrix entries.= 1:CLAQR5accumulates reflections and uses matrix-matrix multiply to update the far-from-diagonal matrix entries.= 2: same asKACC22 = 1. This option used to enable exploiting the 2-by-2 structure during matrix multiplications, but that is no longer supported β legacy feature, we retired her π
Nβ anINTEGER. It's the order of the Hessenberg matrixHthat this subroutine operates on. πKTOPβ anINTEGER. (she's got no description of her own, she comes as a package deal withKBOTπ)KBOTβ anINTEGER.KTOPandKBOTare the first and last rows and columns of an isolated diagonal block, and the QR sweep gets applied to it. It is assumed without a check that eitherKTOP = 1orH(KTOP,KTOP-1) = 0, and eitherKBOT = NorH(KBOT+1,KBOT) = 0. so likeβ¦ nobody's verifying that for you, bestie, that's on you πNSHFTSβ anINTEGER. It gives the number of simultaneous shifts.NSHFTSmust be positive and even β that's not a suggestion, that's the rule π₯Sβ aCOMPLEXarray, dimension(NSHFTS). It holds the shifts of origin that define the multi-shift QR sweep. On output,Smay be reordered. πHβ aCOMPLEXarray, dimension(LDH,N). On input it contains a Hessenberg matrix. On output, a multi-shift QR sweep with shiftsSR(J)+i*SI(J)is applied to the isolated diagonal block in rows and columnsKTOPthroughKBOT. (and yes, it literally saysSR(J)+i*SI(J)right there on the complex routine's page β we're just the messengers π)LDHβ anINTEGER. It's the leading dimension ofHjust as declared in the calling procedure.LDH >= MAX(1,N). πILOZβ anINTEGER. (pairs up withIHIZ, see below π)IHIZβ anINTEGER.ILOZandIHIZspecify the rows ofZthat transformations must be applied to ifWANTZis.TRUE.. And the constraint is1 <= ILOZ <= IHIZ <= N. π―Zβ aCOMPLEXarray, dimension(LDZ,IHIZ). IfWANTZ = .TRUE., then the QR Sweep unitary similarity transformation is accumulated intoZ(ILOZ:IHIZ,ILOZ:IHIZ)from the right. IfWANTZ = .FALSE., thenZis unreferenced β she's not even invited to the function πLDZβ anINTEGER. ok so the page literally says "LDAis the leading dimension ofZ" here (yes,LDA, we know, we know π€‘) β it means the leading dimension ofZjust as declared in the calling procedure, andLDZ >= N. πVβ aCOMPLEXarray, dimension(LDV,NSHFTS/2). π¦LDVβ anINTEGER. It's the leading dimension ofVas declared in the calling procedure.LDV >= 3. β¨Uβ aCOMPLEXarray, dimension(LDU,2*NSHFTS). πΈLDUβ anINTEGER. It's the leading dimension ofUjust as declared in the calling subroutine.LDU >= 2*NSHFTS. πNVβ anINTEGER. It's the number of rows inWVavailable for workspace.NV >= 1. π§°WVβ aCOMPLEXarray, dimension(LDWV,2*NSHFTS). πLDWVβ anINTEGER. It's the leading dimension ofWVas declared in the calling subroutine.LDWV >= NV. πNHβ anINTEGER. It's the number of columns in arrayWHavailable for workspace.NH >= 1. π§°WHβ aCOMPLEXarray, dimension(LDWH,NH). πLDWHβ anINTEGER. Leading dimension ofWHjust as declared in the calling procedure.LDWH >= 2*NSHFTS. π
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Contributors:
- Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA
- Lars Karlsson, Daniel Kressner, and Bruno Lang
- Thijs Steel, Department of Computer science, KU Leuven, Belgium
π References:
- K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 Performance, SIAM Journal of Matrix Analysis, volume 23, pages 929--947, 2002.
- Lars Karlsson, Daniel Kressner, and Bruno Lang, Optimally packed chains of bulges in multishift QR algorithms. ACM Trans. Math. Softw. 40, 2, Article 12 (February 2014).
Definition at line 254 of file claqr5.f. π
π subroutine dlaqr5 π
subroutine dlaqr5 (logical wantt, logical wantz, integer kacc22, integer n,
integer ktop, integer kbot, integer nshfts, double precision, dimension(
* ) sr, double precision, dimension( * ) si, double precision,
dimension( ldh, * ) h, integer ldh, integer iloz, integer ihiz, double
precision, dimension( ldz, * ) z, integer ldz, double precision,
dimension( ldv, * ) v, integer ldv, double precision, dimension( ldu, *
) u, integer ldu, integer nv, double precision, dimension( ldwv, * ) wv,
integer ldwv, integer nh, double precision, dimension( ldwh, * ) wh,
integer ldwh)
DLAQR5 performs a single small-bulge multi-shift QR sweep. π
π― Purpose
!>
!> DLAQR5, called by DLAQR0, performs a
!> single small-bulge multi-shift QR sweep.
!>
DLAQR0 calls this one, and she performs one small-bulge multi-shift QR sweep. same storyline, double precision edition π
π§ Parameters
WANTTβ aLOGICAL. Set it to.true.if the quasi-triangular Schur factor is being computed, and.false.otherwise. πWANTZβ aLOGICAL. Set it to.true.if the orthogonal Schur factor is being computed, and.false.otherwise. π«KACC22β anINTEGERwhose value is0,1, or2. It picks the computation mode for the far-from-diagonal orthogonal updates:= 0:DLAQR5does not accumulate reflections and does not use matrix-matrix multiply to update far-from-diagonal matrix entries.= 1:DLAQR5accumulates reflections and uses matrix-matrix multiply to update the far-from-diagonal matrix entries.= 2: same asKACC22 = 1. This option used to enable exploiting the 2-by-2 structure during matrix multiplications, but that is no longer supported β rip to that era π
Nβ anINTEGER. It's the order of the Hessenberg matrixHthat this subroutine operates on. πKTOPβ anINTEGER. (again, she ships together withKBOTπ)KBOTβ anINTEGER.KTOPandKBOTare the first and last rows and columns of an isolated diagonal block that the QR sweep gets applied to. It is assumed without a check that eitherKTOP = 1orH(KTOP,KTOP-1) = 0, and eitherKBOT = NorH(KBOT+1,KBOT) = 0. no verification, just vibes πNSHFTSβ anINTEGER. It gives the number of simultaneous shifts.NSHFTSmust be positive and even. periodt π₯SRβ aDOUBLE PRECISIONarray, dimension(NSHFTS). (she's the real part,SIis the imaginary part β see below π)SIβ aDOUBLE PRECISIONarray, dimension(NSHFTS). Here's the tea:SRcontains the real parts andSIcontains the imaginary parts of theNSHFTSshifts of origin that define the multi-shift QR sweep. On output,SRandSImay be reordered. πHβ bestie we literally got cut off mid-parameter right here π βHfordlaqr5picks up in the next part, hold that thought π«ΆHβ DOUBLE PRECISION</p> array, dimension(LDH,N). On input,His holding a Hessenberg matrix, and on output there's a multi-shift QR sweep with shiftsSR(J)+i*SI(J)applied to the isolated diagonal block in rows and columnsKTOPthroughKBOT. slay, she did the sweep πLDHβ INTEGER</p>. It's the leading dimension ofH, exactly as declared in the calling procedure. Constraint era:LDH >= MAX(1,N)β¨ILOZβ INTEGER</p>. And that's... literally the whole description bestie π (iykyk β she works the row range together withIHIZright below).IHIZβ INTEGER</p>. Together withILOZ, these specify the rows ofZthat transformations must be applied to whenWANTZis.TRUE.. The constraint is1 <= ILOZ <= IHIZ <= N, no notes πZβ DOUBLE PRECISION</p> array, dimension(LDZ,IHIZ). IfWANTZ = .TRUE., then the QR Sweep orthogonal similarity transformation gets accumulated intoZ(ILOZ:IHIZ,ILOZ:IHIZ)from the right. IfWANTZ = .FALSE., thenZis unreferenced β she's not even invited to the function πLDZβ INTEGER</p>. Okay so the manpage literally reads "LDAis the leading dimension ofZjust as declared in the calling procedure" β yes, it saysLDA, iconic typo energy π« β and the actual constraint isLDZ >= N.Vβ DOUBLE PRECISION</p> array, dimension(LDV,NSHFTS/2). That's the whole note, she's mysterious π¦LDVβ INTEGER</p>. The leading dimension ofVas declared in the calling procedure. Constraint:LDV >= 3.Uβ DOUBLE PRECISION</p> array, dimension(LDU,2*NSHFTS). Short and sweet, we respect it πLDUβ INTEGER</p>. Leading dimension ofUjust as declared in the in the calling subroutine (yes "in the in the", the source said it twice and we're keeping it πΈ). Constraint:LDU >= 2*NSHFTS.NVβ INTEGER</p>. The number of rows inWVavailable for workspace. It's spelledagailablein the original, which is so real of it. Constraint:NV >= 1.WVβ DOUBLE PRECISION</p> array, dimension(LDWV,2*NSHFTS). Just vibes, no extra notes β¨LDWVβ INTEGER</p>. The leading dimension ofWVas declared in the in the calling subroutine (again with the double "in the" β she's committed π). Constraint:LDWV >= NV.NHβ INTEGER</p>. The number of columns in arrayWHavailable for workspace. Constraint:NH >= 1.WHβ DOUBLE PRECISION</p> array, dimension(LDWH,NH). Nothing more to say, moving on πLDWHβ INTEGER</p>. Leading dimension ofWHjust as declared in the calling procedure. Constraint:LDWH >= 2*NSHFTS. Last one of this batch, periodt π
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Contributors π
- Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA
- Lars Karlsson, Daniel Kressner, and Bruno Lang
- Thijs Steel, Department of Computer science, KU Leuven, Belgium
π References π
- K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 Performance, SIAM Journal of Matrix Analysis, volume 23, pages 929--947, 2002.
- Lars Karlsson, Daniel Kressner, and Bruno Lang, Optimally packed chains of bulges in multishift QR algorithms. ACM Trans. Math. Softw. 40, 2, Article 12 (February 2014).
Definition at line 262 of file dlaqr5.f.
π«Ά subroutine slaqr5 ( ... )
Okay bestie, deep breath, because now we're doing the REAL version of the exact same situation. Same dance, single precision, still gorgeous π
subroutine slaqr5 (logical wantt, logical wantz, integer kacc22, integer n,
integer ktop, integer kbot, integer nshfts, real, dimension( * ) sr,
real, dimension( * ) si, real, dimension( ldh, * ) h, integer ldh,
integer iloz, integer ihiz, real, dimension( ldz, * ) z, integer ldz,
real, dimension( ldv, * ) v, integer ldv, real, dimension( ldu, * ) u,
integer ldu, integer nv, real, dimension( ldwv, * ) wv, integer ldwv,
integer nh, real, dimension( ldwh, * ) wh, integer ldwh)
SLAQR5 performs a single small-bulge multi-shift QR sweep. single small-bulge multi-shift QR sweep. Say it five times fast, I dare you π§
β¨ Purpose β¨
SLAQR5, called bySLAQR0, performs a single small-bulge multi-shift QR sweep.
No cap, that's the whole purpose. She's focused, she's employed, she's main character energy π₯
πΈ Parameters πΈ
WANTTβ LOGICAL</p>.WANTT = .true.if the quasi-triangular Schur factor is being computed.WANTTis set to.false.otherwise.WANTZβ LOGICAL</p>.WANTZ = .true.if the orthogonal Schur factor is being computed.WANTZis set to.false.otherwise. (Yes,WANTTandWANTZdiffer by one letter and both exist. not me mixing them up in a homework assignment π)KACC22β INTEGER</p> with value0,1, or2. It specifies the computation mode of far-from-diagonal orthogonal updates:= 0:SLAQR5does not accumulate reflections and does not use matrix-matrix multiply to update far-from-diagonal matrix entries.= 1:SLAQR5accumulates reflections and uses matrix-matrix multiply to update the far-from-diagonal matrix entries.= 2: Same asKACC22 = 1. This option used to enable exploiting the 2-by-2 structure during matrix multiplications, but this is no longer supported. lowkey retired β don't rely on that old behaviour fr fr π
Nβ INTEGER</p>. The order of the Hessenberg matrixHupon which this subroutine operates. She's the queen of the whole operation πKTOPβ INTEGER</p>. Holds a spot in the duo below πKBOTβ INTEGER</p>. Together withKTOP, these are the first and last rows and columns of an isolated diagonal block upon which the QR sweep is to be applied. It is assumed β without a check β οΈ β that:
either KTOP = 1 or H(KTOP,KTOP-1) = 0
and
either KBOT = N or H(KBOT+1,KBOT) = 0.
Literally "without a check" β nobody's verifying that for you, so if you hand her a block that isn't actually isolated, that's on you bestie π
NSHFTSβ INTEGER</p>. The number of simultaneous shifts.NSHFTSmust be positive and even β both, not one or the other πΈSRβ REAL</p> array, dimension(NSHFTS). Teams up withSIfor the ride πSIβ REAL</p> array, dimension(NSHFTS).SRcontains the real parts andSIcontains the imaginary parts of theNSHFTSshifts of origin that define the multi-shift QR sweep. On outputSRandSImay be reordered β so don't come for them if they show up in a different order than you sent them πHβ REAL</p> array, dimension(LDH,N). On inputHcontains a Hessenberg matrix. On output a multi-shift QR sweep with shiftsSR(J)+i*SI(J)is applied to the isolated diagonal block in rows and columnsKTOPthroughKBOTβ¨LDHβ INTEGER</p>. The leading dimension ofHjust as declared in the calling procedure. Constraint:LDH >= MAX(1,N).ILOZβ INTEGER</p>. Again, one line and gone π (she's half of theILOZ/IHIZrow-range duo).IHIZβ INTEGER</p>. WithILOZ, these specify the rows ofZto which transformations must be applied ifWANTZis.TRUE.. Constraint:1 <= ILOZ <= IHIZ <= N.Zβ REAL</p> array, dimension(LDZ,IHIZ). IfWANTZ = .TRUE., then the QR Sweep orthogonal similarity transformation is accumulated intoZ(ILOZ:IHIZ,ILOZ:IHIZ)from the right. IfWANTZ = .FALSE., thenZis unreferenced β she's chilling, untouched, unbothered πLDZβ INTEGER</p>. And here we go again: the manpage says "LDAis the leading dimension ofZjust as declared in the calling procedure" β theLDAtypo made it into the single-precision twin too, consistency icon π« β and the real constraint isLDZ >= N.Vβ REAL</p> array, dimension(LDV,NSHFTS/2). Bare minimum description, she said no notes π¦LDVβ INTEGER</p>. The leading dimension ofVas declared in the calling procedure. Constraint:LDV >= 3.Uβ REAL</p> array, dimension(LDU,2*NSHFTS). Same energy as above β¨LDUβ INTEGER</p>. The leading dimension ofUjust as declared in the in the calling subroutine ("in the in the" strikes again π). Constraint:LDU >= 2*NSHFTS.NVβ INTEGER</p>. The number of rows inWVagailable for workspace β yes,agailable, she's back and she's iconic. Constraint:NV >= 1.WVβ REAL</p> array, dimension(LDWV,2*NSHFTS). No further comment, moving on πLDWVβ INTEGER</p>. The leading dimension ofWVas declared in the in the calling subroutine (double "in the", part two π« ). Constraint:LDWV >= NV.NHβ INTEGER</p>. The number of columns in arrayWHavailable for workspace. Constraint:NH >= 1.WHβ REAL</p> array, dimension(LDWH,NH). That's it, that's the entry πΈLDWHβ INTEGER</p>. Leading dimension ofWHjust as declared in the calling procedure. Constraint:LDWH >= 2*NSHFTS. And that's the last parameter, we made it π
subroutine zlaqr5 (logical wantt, logical wantz, integer kacc22, integer n,
integer ktop, integer kbot, integer nshfts, complex*16, dimension( * )
s, complex*16, dimension( ldh, * ) h, integer ldh, integer iloz, integer
ihiz, complex*16, dimension( ldz, * ) z, integer ldz, complex*16,
dimension( ldv, * ) v, integer ldv, complex*16, dimension( ldu, * ) u,
integer ldu, integer nv, complex*16, dimension( ldwv, * ) wv, integer
ldwv, integer nh, complex*16, dimension( ldwh, * ) wh, integer ldwh)
okay bestie, thatβs the whole signature β every logical, every integer, every complex*16, and every dimension( * ) exactly where LAPACK put it. The one-liner is literally: ZLAQR5 performs a single small-bulge multi-shift QR sweep. π
β¨ Purpose β¨
ZLAQR5, called by ZLAQR0, performs a single small-bulge multi-shift QR sweep. Thatβs the whole purpose, no cap. π¦
π Parameters π
WANTTβWANTTisLOGICAL. Itβs.true.if the triangular Schur factor is being computed. Otherwise itβs set to.false..WANTZβWANTZisLOGICAL. Itβs.true.if the unitary Schur factor is being computed. Otherwise itβs set to.false..KACC22βKACC22isINTEGERwith value0,1, or2. It specifies the computation mode of far-from-diagonal orthogonal updates.= 0:ZLAQR5does not accumulate reflections and does not use matrix-matrix multiply to update far-from-diagonal matrix entries.= 1:ZLAQR5accumulates reflections and uses matrix-matrix multiply to update the far-from-diagonal matrix entries.= 2: Same asKACC22 = 1. This option used to enable exploiting the 2-by-2 structure during matrix multiplications, but this is no longer supported.
NβNisINTEGER.Nis the order of the Hessenberg matrixHupon which this subroutine operates.KTOPβKTOPisINTEGER.KBOTβKBOTisINTEGER. These are the first and last rows and columns of an isolated diagonal block upon which the QR sweep is to be applied. It is assumed without a check that eitherKTOP = 1orH(KTOP,KTOP-1) = 0and eitherKBOT = NorH(KBOT+1,KBOT) = 0.NSHFTSβNSHFTSisINTEGER.NSHFTSgives the number of simultaneous shifts.NSHFTSmust be positive and even.SβSisCOMPLEX*16 array, dimension (NSHFTS).Scontains the shifts of origin that define the multi-shift QR sweep. On outputSmay be reordered.HβHisCOMPLEX*16 array, dimension (LDH,N). On inputHcontains a Hessenberg matrix. On output a multi-shift QR sweep with shiftsSR(J)+i*SI(J)is applied to the isolated diagonal block in rows and columnsKTOPthroughKBOT.LDHβLDHisINTEGER.LDHis the leading dimension ofHjust as declared in the calling procedure.LDH >= MAX(1,N).ILOZβILOZisINTEGER.IHIZβIHIZisINTEGER. Specify the rows ofZto which transformations must be applied ifWANTZis.TRUE..1 <= ILOZ <= IHIZ <= N.ZβZisCOMPLEX*16 array, dimension (LDZ,IHIZ). IfWANTZ = .TRUE., then the QR Sweep unitary similarity transformation is accumulated intoZ(ILOZ:IHIZ,ILOZ:IHIZ)from the right. IfWANTZ = .FALSE., thenZis unreferenced.LDZβLDZisINTEGER. The source saysLDAis the leading dimension ofZjust as declared in the calling procedure.LDZ >= N.VβVisCOMPLEX*16 array, dimension (LDV,NSHFTS/2).LDVβLDVisINTEGER.LDVis the leading dimension ofVas declared in the calling procedure.LDV >= 3.UβUisCOMPLEX*16 array, dimension (LDU,2*NSHFTS).LDUβLDUisINTEGER.LDUis the leading dimension ofUjust as declared in the in the calling subroutine.LDU >= 2*NSHFTS.NVβNVisINTEGER.NVis the number of rows inWVagailable for workspace.NV >= 1.WVβWVisCOMPLEX*16 array, dimension (LDWV,2*NSHFTS).LDWVβLDWVisINTEGER.LDWVis the leading dimension ofWVas declared in the in the calling subroutine.LDWV >= NV.NHβNHisINTEGER.NHis the number of columns in arrayWHavailable for workspace.NH >= 1.WHβWHisCOMPLEX*16 array, dimension (LDWH,NH).LDWHβLDWHisINTEGER. Leading dimension ofWHjust as declared in the calling procedure.LDWH >= 2*NSHFTS.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Contributors π
Karen Braman and Ralph Byers, Department of Mathematics, University of Kansas, USA.
Lars Karlsson, Daniel Kressner, and Bruno Lang
Thijs Steel, Department of Computer science, KU Leuven, Belgium
π References π
K. Braman, R. Byers and R. Mathias, The Multi-Shift QR Algorithm Part I: Maintaining Well Focused Shifts, and Level 3 Performance, SIAM Journal of Matrix Analysis, volume 23, pages 929--947, 2002.
Lars Karlsson, Daniel Kressner, and Bruno Lang, Optimally packed chains of bulges in multishift QR algorithms. ACM Trans. Math. Softw. 40, 2, Article 12 (February 2014).
π§Ύ Definition π§Ύ
Definition at line 254 of file zlaqr5.f.
π€ Author (Doxygenβs version) π€
Generated automatically by Doxygen for LAPACK from the source code.
okay thatβs the whole page, bestie β footer energy is LAPACK Version 3.12.0, laqr5(3), and its date, so this is the cute sign-off instead of the raw footer line. bye and slay πβ¨
π¦ where this page comes from
- arch rolling: lapack-doc 3.12.1-2 Β· custom
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms