SRC/slaqz0.f(3)
β¨ NAME β¨
SRC/slaqz0.f β okay bestie, this is the page for the recursive subroutine SLAQZ0 from the Library Functions Manual for LAPACK, page SRC/slaqz0.f(3). Itβs giving double-shift QZ energy. π
π¦ SYNOPSIS π¦
Functions/Subroutines
recursive subroutine slaqz0 (wants, wantq, wantz, n, ilo, ihi, a, lda,
b, ldb, alphar, alphai, beta, q, ldq, z, ldz, work, lwork, rec,
info)
SLAQZ0β the name, iconic. β¨
π Function/Subroutine Documentation π
recursive subroutine slaqz0 (...) β the whole signature
recursive subroutine slaqz0 (character, intent(in) wants, character,
intent(in) wantq, character, intent(in) wantz, integer, intent(in) n,
integer, intent(in) ilo, integer, intent(in) ihi, real, dimension( lda,
* ), intent(inout) a, integer, intent(in) lda, real, dimension( ldb, *
), intent(inout) b, integer, intent(in) ldb, real, dimension( * ),
intent(inout) alphar, real, dimension( * ), intent(inout) alphai, real,
dimension( * ), intent(inout) beta, real, dimension( ldq, * ),
intent(inout) q, integer, intent(in) ldq, real, dimension( ldz, * ),
intent(inout) z, integer, intent(in) ldz, real, dimension( * ),
intent(inout) work, integer, intent(in) lwork, integer, intent(in) rec,
integer, intent(out) info)
Also known as: SLAQZ0. π«Ά
π Purpose π
SLAQZ0 computes the eigenvalues of a real matrix pair (H,T), where H is an upper Hessenberg matrix and T is upper triangular, using the double-shift QZ method. Matrix pairs of this type are produced by the reduction to generalized upper Hessenberg form of a real matrix pair (A,B):
A = Q1*H*Z1**T, B = Q1*T*Z1**T,
as computed by SGGHRD.
If JOB='S', then the Hessenberg-triangular pair (H,T) is also reduced to generalized Schur form,
H = Q*S*Z**T, T = Q*P*Z**T,
where Q and Z are orthogonal matrices, P is an upper triangular matrix, and S is a quasi-triangular matrix with 1-by-1 and 2-by-2 diagonal blocks.
The 1-by-1 blocks correspond to real eigenvalues of the matrix pair (H,T) and the 2-by-2 blocks correspond to complex conjugate pairs of eigenvalues.
Additionally, the 2-by-2 upper triangular diagonal blocks of P corresponding to 2-by-2 blocks of S are reduced to positive diagonal form, i.e., if S(j+1,j) is non-zero, then P(j+1,j) = P(j,j+1) = 0, P(j,j) > 0, and P(j+1,j+1) > 0.
Optionally, the orthogonal matrix Q from the generalized Schur factorization may be postmultiplied into an input matrix Q1, and the orthogonal matrix Z may be postmultiplied into an input matrix Z1. If Q1 and Z1 are the orthogonal matrices from SGGHRD that reduced the matrix pair (A,B) to generalized upper Hessenberg form, then the output matrices Q1*Q and Z1*Z are the orthogonal factors from the generalized Schur factorization of (A,B):
A = (Q1*Q)*S*(Z1*Z)**T, B = (Q1*Q)*P*(Z1*Z)**T.
To avoid overflow, eigenvalues of the matrix pair (H,T) (equivalently, of (A,B)) are computed as a pair of values (alpha,beta), where alpha is complex and beta real. If beta is nonzero, lambda = alpha / beta is an eigenvalue of the generalized nonsymmetric eigenvalue problem (GNEP)
A*x = lambda*B*x
and if alpha is nonzero, mu = beta / alpha is an eigenvalue of the alternate form of the GNEP
mu*A*y = B*y.
Real eigenvalues can be read directly from the generalized Schur form:
alpha = S(i,i), beta = P(i,i).
Ref: C.B. Moler & G.W. Stewart, , SIAM J. Numer. Anal., 10(1973), pp. 241--256.
Ref: B. Kagstrom, D. Kressner, , SIAM J. Numer. Anal., 29(2006), pp. 199--227.
Ref: T. Steel, D. Camps, K. Meerbergen, R. Vandebril
πΈ Parameters πΈ
WANTSβWANTSisCHARACTER*1'E': Compute eigenvalues only;'S': Compute eigenvalues and the Schur form.
WANTQβWANTQisCHARACTER*1'N': Left Schur vectors (Q) are not computed;'I':Qis initialized to the unit matrix and the matrixQof left Schur vectors of(A,B)is returned;'V':Qmust contain an orthogonal matrixQ1on entry and the productQ1*Qis returned.
WANTZβWANTZisCHARACTER*1'N': Right Schur vectors (Z) are not computed;'I':Zis initialized to the unit matrix and the matrixZof right Schur vectors of(A,B)is returned;'V':Zmust contain an orthogonal matrixZ1on entry and the productZ1*Zis returned.
NβNisINTEGER. The order of the matricesA,B,Q, andZ.N >= 0.ILOβILOisINTEGER. Thatβs it, bestie β no extra lore here. πIHIβIHIisINTEGER.ILOandIHImark the rows and columns ofAwhich are in Hessenberg form. It is assumed thatAis already upper triangular in rows and columns1:ILO-1andIHI+1:N. IfN > 0,1 <= ILO <= IHI <= N; ifN = 0,ILO=1andIHI=0.AβAisREAL array, dimension (LDA, N). On entry, theN-by-Nupper Hessenberg matrixA. On exit, ifJOB = 'S',Acontains the upper quasi-triangular matrixSfrom the generalized Schur factorization. IfJOB = 'E', the diagonal blocks ofAmatch those ofS, but the rest ofAis unspecified.LDAβLDAisINTEGER. The leading dimension of the arrayA.LDA >= max( 1, N ).BβBisREAL array, dimension (LDB, N). On entry, theN-by-Nupper triangular matrixB. On exit, ifJOB = 'S',Bcontains the upper triangular matrixPfrom the generalized Schur factorization; 2-by-2 diagonal blocks ofPcorresponding to 2-by-2 blocks ofSare reduced to positive diagonal form, i.e., ifA(j+1,j)is non-zero, thenB(j+1,j) = B(j,j+1) = 0,B(j,j) > 0, andB(j+1,j+1) > 0. IfJOB = 'E', the diagonal blocks ofBmatch those ofP, but the rest ofBis unspecified.LDBβLDBisINTEGER. The leading dimension of the arrayB.LDB >= max( 1, N ).ALPHARβALPHARisREAL array, dimension (N). The real parts of each scalaralphadefining an eigenvalue of GNEP.ALPHAIβALPHAIisREAL array, dimension (N). The imaginary parts of each scalaralphadefining an eigenvalue of GNEP. IfALPHAI(j)is zero, then thej-th eigenvalue is real; if positive, then thej-th and(j+1)-st eigenvalues are a complex conjugate pair, withALPHAI(j+1) = -ALPHAI(j).BETAβBETAisREAL array, dimension (N). The scalarsbetathat define the eigenvalues of GNEP. Together, the quantitiesalpha = (ALPHAR(j),ALPHAI(j))andbeta = BETA(j)represent thej-th eigenvalue of the matrix pair(A,B), in one of the formslambda = alpha/betaormu = beta/alpha. Since eitherlambdaormumay overflow, they should not, in general, be computed.QβQisREAL array, dimension (LDQ, N). On entry, ifCOMPQ = 'V', the orthogonal matrixQ1used in the reduction of(A,B)to generalized Hessenberg form. On exit, ifCOMPQ = 'I', the orthogonal matrix of left Schur vectors of(A,B), and ifCOMPQ = 'V', the orthogonal matrix of left Schur vectors of(A,B). Not referenced ifCOMPQ = 'N'.LDQβLDQisINTEGER. The leading dimension of the arrayQ.LDQ >= 1. IfCOMPQ='V'or'I', thenLDQ >= N.ZβZisREAL array, dimension (LDZ, N). On entry, ifCOMPZ = 'V', the orthogonal matrixZ1used in the reduction of(A,B)to generalized Hessenberg form. On exit, ifCOMPZ = 'I', the orthogonal matrix of right Schur vectors of(H,T), and ifCOMPZ = 'V', the orthogonal matrix of right Schur vectors of(A,B). Not referenced ifCOMPZ = 'N'.LDZβLDZisINTEGER. The leading dimension of the arrayZ.LDZ >= 1. IfCOMPZ='V'or'I', thenLDZ >= N.WORKβWORKisREAL array, dimension (MAX(1,LWORK)). On exit, ifINFO >= 0,WORK(1)returns the optimalLWORK.LWORKβLWORKisINTEGER. The dimension of the arrayWORK.LWORK >= max(1,N). IfLWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of theWORKarray, returns this value as the first entry of theWORKarray, and no error message related toLWORKis issued byXERBLA.RECβRECisINTEGER.RECindicates the current recursion level. Should be set to0on first call.INFOβINFOisINTEGER.= 0: successful exit< 0: ifINFO = -i, thei-th argument had an illegal value= 1,...,N: the QZ iteration did not converge.(A,B)is not in Schur form, butALPHAR(i),ALPHAI(i), andBETA(i),i=INFO+1,...,Nshould be correct.
Author
Thijs Steel, KU Leuven
Date
May 2020
Definition at line 300 of file slaqz0.f.
π Author π
Generated automatically by Doxygen for LAPACK from the source code.
Thatβs the whole vibe, bestie. This page is from LAPACK Version 3.12.0, page SRC/slaqz0.f(3), and the date on it says May 2020. Bye! π«Άβ¨
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