SLAQZ0(3)
πΈ NAME πΈ
SLAQZ0(3) from the Library Functions Manual β and the source file is literally:
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/slaqz0.f
β¨ SYNOPSIS β¨
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)
SLAQZ0
π«Ά Function/Subroutine Documentation π«Ά
π¦ recursive subroutine SLAQZ0 π¦
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)
SLAQZ0
π Purpose π
Okay so bestie, 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. Periodt.
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
π Parameters π
WANTSβCHARACTER*1= 'E': Compute eigenvalues only;= 'S': Compute eigenvalues and the Schur form.
WANTQβCHARACTER*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.
WANTZβCHARACTER*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.
NβINTEGERThe order of the matricesA,B,Q, andZ.N >= 0.ILOβINTEGERThat's it, bestie β the source gives no extra description here. π«ΆIHIβINTEGERILOandIHImark 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.AβREAL array, dimension (LDA, N)- On entry, the
N-by-Nupper Hessenberg matrixA. - On exit, if
JOB = 'S',Acontains the upper quasi-triangular matrixSfrom the generalized Schur factorization. IfJOB = 'E', the diagonal blocks ofAmatch those ofS, but the rest ofAis unspecified.
- On entry, the
LDAβINTEGERThe leading dimension of the arrayA.LDA >= max( 1, N ).BβREAL array, dimension (LDB, N)- On entry, the
N-by-Nupper triangular matrixB. - On exit, if
JOB = '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.
- On entry, the
LDBβINTEGERThe leading dimension of the arrayB.LDB >= max( 1, N ).ALPHARβREAL array, dimension (N)The real parts of each scalaralphadefining an eigenvalue of GNEP.ALPHAIβREAL array, dimension (N)The imaginary parts of each scalaralphadefining an eigenvalue of GNEP. IfALPHAI(j)is zero, then the j-th eigenvalue is real; if positive, then the j-th and (j+1)-st eigenvalues are a complex conjugate pair, withALPHAI(j+1) = -ALPHAI(j).BETAβREAL array, dimension (N)The scalarsbetathat define the eigenvalues of GNEP. Together, the quantitiesalpha = (ALPHAR(j),ALPHAI(j))andbeta = BETA(j)represent the j-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. No cap, do not just casually compute them.QβREAL array, dimension (LDQ, N)- On entry, if
COMPQ = 'V', the orthogonal matrixQ1used in the reduction of(A,B)to generalized Hessenberg form. - On exit, if
COMPQ = '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'.
- On entry, if
LDQβINTEGERThe leading dimension of the arrayQ.LDQ >= 1. IfCOMPQ='V'or'I', thenLDQ >= N.ZβREAL array, dimension (LDZ, N)- On entry, if
COMPZ = 'V', the orthogonal matrixZ1used in the reduction of(A,B)to generalized Hessenberg form. - On exit, if
COMPZ = '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'.
- On entry, if
LDZβINTEGERThe leading dimension of the arrayZ.LDZ >= 1. IfCOMPZ='V'or'I', thenLDZ >= N.WORKβREAL array, dimension (MAX(1,LWORK))On exit, ifINFO >= 0,WORK(1)returns the optimalLWORK.LWORKβINTEGERThe dimension of the arrayWORK.LWORK >= max(1,N).
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.
RECβINTEGERRECindicates the current recursion level. Should be set to0on first call.INFOβINTEGER= 0: successful exit< 0: ifINFO = -i, the i-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.
π Author π
Thijs Steel, KU Leuven
πΈ Date πΈ
May 2020
Definition at line 300 of file slaqz0.f.
π Author π
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