ZTGSYL(3)
ZTGSYL(3) π Library Functions Manual
NAME π¦
The NAME here is literally this source file path, no cap:
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/ztgsyl.f
SYNOPSIS π
Functions/Subroutines
subroutine ZTGSYL (trans, ijob, m, n, a, lda, b, ldb, c, ldc, d, ldd, e,
lde, f, ldf, scale, dif, work, lwork, iwork, info)
ZTGSYL
Function/Subroutine Documentation π¦
Full typed-out summon, bestie:
subroutine ZTGSYL (character trans, integer ijob, integer m, integer n,
complex*16, dimension( lda, * ) a, integer lda, complex*16, dimension(
ldb, * ) b, integer ldb, complex*16, dimension( ldc, * ) c, integer ldc,
complex*16, dimension( ldd, * ) d, integer ldd, complex*16, dimension(
lde, * ) e, integer lde, complex*16, dimension( ldf, * ) f, integer ldf,
double precision scale, double precision dif, complex*16, dimension( * )
work, integer lwork, integer, dimension( * ) iwork, integer info)
ZTGSYL
Purpose:
okay so what does this icon actually do? π
ZTGSYL solves the generalized Sylvester equation:
A * R - L * B = scale * C (1)
D * R - L * E = scale * F
where R and L are unknown m-by-n matrices, (A, D), (B, E) and (C, F) are given matrix pairs of size m-by-m, n-by-n and m-by-n, respectively, with complex entries. A, B, D and E are upper triangular (i.e., (A,D) and (B,E) in generalized Schur form).
The solution (R, L) overwrites (C, F). 0 <= SCALE <= 1 is an output scaling factor chosen to avoid overflow.
In matrix notation (1) is equivalent to solve Zx = scale*b, where Z is defined as
Z = [ kron(In, A) -kron(B**H, Im) ] (2)
[ kron(In, D) -kron(E**H, Im) ],
Here Ix is the identity matrix of size x and X**H is the conjugate transpose of X. Kron(X, Y) is the Kronecker product between the matrices X and Y.
If TRANS = 'C', y in the conjugate transposed system Z**H *y = scale*b is solved for, which is equivalent to solve for R and L in
A**H * R + D**H * L = scale * C (3)
R * B**H + L * E**H = scale * -F
This case (TRANS = 'C') is used to compute a one-norm-based estimate of Dif[(A,D), (B,E)], the separation between the matrix pairs (A,D) and (B,E), using ZLACON.
If IJOB >= 1, ZTGSYL computes a Frobenius norm-based estimate of Dif[(A,D),(B,E)]. That is, the reciprocal of a lower bound on the reciprocal of the smallest singular value of Z.
This is a level-3 BLAS algorithm.
Parameters
TRANSβCHARACTER*1= 'N': solve the generalized sylvester equation (1).= 'C': solve the system (3).
IJOBβINTEGER- Specifies what kind of functionality to be performed.
=0: solve (1) only.=1: The functionality of 0 and 3.=2: The functionality of 0 and 4.=3: Only an estimate ofDif[(A,D), (B,E)]is computed. (look ahead strategy is used).=4: Only an estimate ofDif[(A,D), (B,E)]is computed. (ZGECON on sub-systems is used).- Not referenced if
TRANS = 'C'.
MβINTEGER. The order of the matricesAandD, and the row dimension of the matricesC,F,RandL.NβINTEGER. The order of the matricesBandE, and the column dimension of the matricesC,F,RandL.AβCOMPLEX*16 array, dimension (LDA, M). The upper triangular matrixA.LDAβINTEGER. The leading dimension of the arrayA.LDA >= max(1, M).BβCOMPLEX*16 array, dimension (LDB, N). The upper triangular matrixB.LDBβINTEGER. The leading dimension of the arrayB.LDB >= max(1, N).CβCOMPLEX*16 array, dimension (LDC, N). On entry,Ccontains the right-hand-side of the first matrix equation in (1) or (3). On exit, ifIJOB = 0, 1 or 2,Chas been overwritten by the solutionR. IfIJOB = 3 or 4andTRANS = 'N',CholdsR, the solution achieved during the computation of theDif-estimate.LDCβINTEGER. The leading dimension of the arrayC.LDC >= max(1, M).DβCOMPLEX*16 array, dimension (LDD, M). The upper triangular matrixD.LDDβINTEGER. The leading dimension of the arrayD.LDD >= max(1, M).EβCOMPLEX*16 array, dimension (LDE, N). The upper triangular matrixE.LDEβINTEGER. The leading dimension of the arrayE.LDE >= max(1, N).FβCOMPLEX*16 array, dimension (LDF, N). On entry,Fcontains the right-hand-side of the second matrix equation in (1) or (3). On exit, ifIJOB = 0, 1 or 2,Fhas been overwritten by the solutionL. IfIJOB = 3 or 4andTRANS = 'N',FholdsL, the solution achieved during the computation of theDif-estimate.LDFβINTEGER. The leading dimension of the arrayF.LDF >= max(1, M).DIFβDOUBLE PRECISION. On exitDIFis the reciprocal of a lower bound of the reciprocal of theDif-function, i.e.DIFis an upper bound ofDif[(A,D), (B,E)] = sigma-min(Z), whereZas in (2). IFIJOB = 0orTRANS = 'C',DIFis not referenced.SCALEβDOUBLE PRECISION. On exitSCALEis the scaling factor in (1) or (3). If0 < SCALE < 1,CandFhold the solutionsRandL, resp., to a slightly perturbed system but the input matricesA,B,DandEhave not been changed. IfSCALE = 0,RandLwill hold the solutions to the homogeneous system withC = F = 0.WORKβCOMPLEX*16 array, dimension (MAX(1,LWORK)). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβINTEGER. The dimension of the arrayWORK.LWORK > = 1. IfIJOB = 1 or 2andTRANS = 'N',LWORK >= max(1,2*M*N).- If
LWORK = -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.
- If
IWORKβINTEGER array, dimension (M+N+2).INFOβINTEGER=0: successful exit<0: IfINFO = -i, thei-th argument had an illegal value.>0:(A, D)and(B, E)have common or very close eigenvalues.
Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Contributors:
- Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.
References:
- [1] B. Kagstrom and P. Poromaa, LAPACK-Style Algorithms and Software for Solving the Generalized Sylvester Equation and Estimating the Separation between Regular Matrix Pairs, Report UMINF - 93.23, Department of Computing Science, Umea University, S-901 87 Umea, Sweden, December 1993, Revised April 1994, Also as LAPACK Working Note 75. To appear in ACM Trans. on Math. Software, Vol 22, No 1, 1996.
- [2] B. Kagstrom, A Perturbation Analysis of the Generalized Sylvester Equation
(AR - LB, DR - LE ) = (C, F), SIAM J. Matrix Anal. Appl., 15(4):1045-1060, 1994. - [3] B. Kagstrom and L. Westin, Generalized Schur Methods with Condition Estimators for Solving the Generalized Sylvester Equation, IEEE Transactions on Automatic Control, Vol. 34, No. 7, July 1989, pp 745-751.
Definition at line 292 of file ztgsyl.f.
Author
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