complex16GEauxiliary(3)
okay so bestie, welcome to complex16GEauxiliary(3) from LAPACK β it's giving complex16 GE auxiliary squad energy, and the manual name is literally complex16GEauxiliary. The short-name vibe? complex16. We're about to go through the whole group chat of routines, and yes, every flag, type, constraint, author and contributor is staying exactly where it belongs. no cap. πβ¨
β¨ NAME β¨
complex16GEauxiliary β complex16
πΈ SYNOPSIS πΈ
π«Ά Functions π«Ά
bestie, here's the lineup β signatures stay exactly as they are:
subroutine zgesc2 (N, A, LDA, RHS, IPIV, JPIV, SCALE)
ZGESC2 solves a system of linear equations using the LU
factorization with complete pivoting computed by sgetc2.
subroutine zgetc2 (N, A, LDA, IPIV, JPIV, INFO)
ZGETC2 computes the LU factorization with complete pivoting of the
general n-by-n matrix.
double precision function zlange (NORM, M, N, A, LDA, WORK)
ZLANGE returns the value of the 1-norm, Frobenius norm, infinity-
norm, or the largest absolute value of any element of a general
rectangular matrix.
subroutine zlaqge (M, N, A, LDA, R, C, ROWCND, COLCND, AMAX, EQUED)
ZLAQGE scales a general rectangular matrix, using row and column
scaling factors computed by sgeequ.
subroutine ztgex2 (WANTQ, WANTZ, N, A, LDA, B, LDB, Q, LDQ, Z, LDZ, J1,
INFO)
ZTGEX2 swaps adjacent diagonal blocks in an upper (quasi) triangular
matrix pair by an unitary equivalence transformation.
π Detailed Description π
This is the group of complex16 auxiliary functions for GE matrices. That's the whole description, and honestly it's iconic. π
π Function Documentation π
π¦ zgesc2 π¦
subroutine zgesc2 (integer N, complex*16, dimension( lda, * ) A, integer
LDA, complex*16, dimension( * ) RHS, integer, dimension( * ) IPIV,
integer, dimension( * ) JPIV, double precision SCALE)
ZGESC2 solves a system of linear equations using the LU factorization with complete pivoting computed by sgetc2. yes, lowercase sgetc2 in that line, bestie β keeping it exact.
β¨ Purpose β¨
ZGESC2 solves a system of linear equations
A * X = scale* RHS
with a general N-by-N matrix A using the LU factorization with complete pivoting computed by ZGETC2.
π Parameters π
NβN is INTEGER. The number of columns of the matrix A. (the page says columns, so we're saying columns, periodt.)AβA is COMPLEX*16 array, dimension (LDA, N). On entry, the LU part of the factorization of the n-by-n matrix A computed byZGETC2:A = P * L * U * Q.LDAβLDA is INTEGER. The leading dimension of the array A.LDA >= max(1, N).RHSβRHS is COMPLEX*16 array, dimension N.On entry, the right hand side vector b. On exit, the solution vector X.IPIVβIPIV is INTEGER array, dimension (N).The pivot indices; for1 <= i <= N, row i of the matrix has been interchanged with rowIPIV(i).JPIVβJPIV is INTEGER array, dimension (N).The pivot indices; for1 <= j <= N, column j of the matrix has been interchanged with columnJPIV(j).SCALEβSCALE is DOUBLE PRECISION. On exit, SCALE contains the scale factor. SCALE is chosen0 <= SCALE <= 1to prevent overflow in the solution.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π«Ά Contributors: π«Ά
- Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.
π¦ zgetc2 π¦
subroutine zgetc2 (integer N, complex*16, dimension( lda, * ) A, integer
LDA, integer, dimension( * ) IPIV, integer, dimension( * ) JPIV, integer
INFO)
ZGETC2 computes the LU factorization with complete pivoting of the general n-by-n matrix. it's giving factorization main character energy. π₯
β¨ Purpose β¨
ZGETC2 computes an LU factorization, using complete pivoting, of the n-by-n matrix A. The factorization has the form A = P * L * U * Q, where P and Q are permutation matrices, L is lower triangular with unit diagonal elements and U is upper triangular.
This is a level 1 BLAS version of the algorithm.
π Parameters π
NβN is INTEGER. The order of the matrix A.N >= 0.AβA is COMPLEX*16 array, dimension (LDA, N). On entry, the n-by-n matrix to be factored. On exit, the factors L and U from the factorizationA = P*L*U*Q; the unit diagonal elements of L are not stored. IfU(k, k)appears to be less thanSMIN,U(k, k)is given the value ofSMIN, giving a nonsingular perturbed system.LDAβLDA is INTEGER. The leading dimension of the array A.LDA >= max(1, N).IPIVβIPIV is INTEGER array, dimension (N).The pivot indices; for1 <= i <= N, row i of the matrix has been interchanged with rowIPIV(i).JPIVβJPIV is INTEGER array, dimension (N).The pivot indices; for1 <= j <= N, column j of the matrix has been interchanged with columnJPIV(j).INFOβINFO is INTEGER.= 0: successful exit> 0: ifINFO = k,U(k, k)is likely to produce overflow if one tries to solve for x inAx = b. So U is perturbed to avoid the overflow.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π«Ά Contributors: π«Ά
- Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.
π¦ zlange π¦
double precision function zlange (character NORM, integer M, integer N,
complex*16, dimension( lda, * ) A, integer LDA, double precision,
dimension( * ) WORK)
ZLANGE returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of a general rectangular matrix. normie? never heard of her. π
β¨ Purpose β¨
ZLANGE returns the value of the one norm, or the Frobenius norm, or
the infinity norm, or the element of largest absolute value of a
complex matrix A.
π Returns π
ZLANGE is set to:
ZLANGE = ( max(abs(A(i,j))), NORM = 'M' or 'm'
(
( norm1(A), NORM = '1', 'O' or 'o'
(
( normI(A), NORM = 'I' or 'i'
(
( normF(A), NORM = 'F', 'f', 'E' or 'e'
where norm1 denotes the one norm of a matrix (maximum column sum), normI denotes the infinity norm of a matrix (maximum row sum) and normF denotes the Frobenius norm of a matrix (square root of sum of squares). Note that max(abs(A(i,j))) is not a consistent matrix norm.
π Parameters π
NORMβNORM is CHARACTER*1. Specifies the value to be returned inZLANGEas described above.MβM is INTEGER. The number of rows of the matrix A.M >= 0. WhenM = 0,ZLANGEis set to zero.NβN is INTEGER. The number of columns of the matrix A.N >= 0. WhenN = 0,ZLANGEis set to zero.AβA is COMPLEX*16 array, dimension (LDA,N). The m by n matrix A.LDAβLDA is INTEGER. The leading dimension of the array A.LDA >= max(M,1).WORKβWORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)), whereLWORK >= MwhenNORM = 'I'; otherwise,WORKis not referenced.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ zlaqge π¦
subroutine zlaqge (integer M, integer N, complex*16, dimension( lda, * ) A,
integer LDA, double precision, dimension( * ) R, double precision,
dimension( * ) C, double precision ROWCND, double precision COLCND,
double precision AMAX, character EQUED)
ZLAQGE scales a general rectangular matrix, using row and column scaling factors computed by sgeequ. balancing act, but make it complex16. β¨
β¨ Purpose β¨
ZLAQGE equilibrates a general M by N matrix A using the row and column scaling factors in the vectors R and C.
π Parameters π
MβM is INTEGER. The number of rows of the matrix A.M >= 0.NβN is INTEGER. The number of columns of the matrix A.N >= 0.AβA is COMPLEX*16 array, dimension (LDA,N). On entry, the M by N matrix A. On exit, the equilibrated matrix. SeeEQUEDfor the form of the equilibrated matrix.LDAβLDA is INTEGER. The leading dimension of the array A.LDA >= max(M,1).RβR is DOUBLE PRECISION array, dimension (M). The row scale factors for A.CβC is DOUBLE PRECISION array, dimension (N). The column scale factors for A.ROWCNDβROWCND is DOUBLE PRECISION. Ratio of the smallestR(i)to the largestR(i).COLCNDβCOLCND is DOUBLE PRECISION. Ratio of the smallestC(i)to the largestC(i).AMAXβAMAX is DOUBLE PRECISION. Absolute value of largest matrix entry.EQUEDβEQUED is CHARACTER*1. Specifies the form of equilibration that was done.= 'N': No equilibration= 'R': Row equilibration, i.e., A has been premultiplied bydiag(R).= 'C': Column equilibration, i.e., A has been postmultiplied bydiag(C).= 'B': Both row and column equilibration, i.e., A has been replaced bydiag(R) * A * diag(C).
π Internal Parameters: π
THRESH is a threshold value used to decide if row or column scaling should be done based on the ratio of the row or column scaling factors. If ROWCND < THRESH, row scaling is done, and if COLCND < THRESH, column scaling is done.
LARGE and SMALL are threshold values used to decide if row scaling should be done based on the absolute size of the largest matrix element. If AMAX > LARGE or AMAX < SMALL, row scaling is done.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ ztgex2 π¦
subroutine ztgex2 (logical WANTQ, logical WANTZ, integer N, complex*16,
dimension( lda, * ) A, integer LDA, complex*16, dimension( ldb, * ) B,
integer LDB, complex*16, dimension( ldq, * ) Q, integer LDQ, complex*16,
dimension( ldz, * ) Z, integer LDZ, integer J1, integer INFO)
ZTGEX2 swaps adjacent diagonal blocks in an upper (quasi) triangular matrix pair by an unitary equivalence transformation. (yes, "an unitary" β keeping the original grammar exactly, bestie. π)
β¨ Purpose β¨
bestie, this is where part 1 pulls up β the ztgex2 Purpose section continues in part 2, and we are not signing off, we're just pausing on a cliffhanger. π
ZTGEX2 swaps adjacent diagonal 1 by 1 blocks (A11,B11) and (A22,B22) in an upper triangular matrix pair (A, B) by an unitary equivalence transformation. π
And fr fr, (A, B) must be in generalized Schur canonical form β that is, A and B are both upper triangular. No cap.
Optionally, the matrices Q and Z of generalized Schur vectors are updated. The vibe is:
Q(in) * A(in) * Z(in)**H = Q(out) * A(out) * Z(out)**H
Q(in) * B(in) * Z(in)**H = Q(out) * B(out) * Z(out)**H
Parameters π
WANTQβWANTQisLOGICAL..TRUE.means update the left transformation matrixQ;.FALSE.means do not updateQ. Periodt. πWANTZβWANTZisLOGICAL..TRUE.means update the right transformation matrixZ;.FALSE.means do not updateZ. Slay. β¨NβNisINTEGER. The order of the matricesAandB.N >= 0. πAβAis aCOMPLEX*16array, dimensions(LDA,N). On entry, it's the matrixAin the pair(A, B). On exit, it's the updated matrixA. Iconic. πLDAβLDAisINTEGER. The leading dimension of the arrayA.LDA >= max(1,N). You got this. πΈBβBis aCOMPLEX*16array, dimensions(LDB,N). On entry, it's the matrixBin the pair(A, B). On exit, it's the updated matrixB. π₯LDBβLDBisINTEGER. The leading dimension of the arrayB.LDB >= max(1,N). Fr fr. π¦QβQis aCOMPLEX*16array, dimension(LDQ,N). IfWANTQ = .TRUE., on entry it's the unitary matrixQ; on exit, it's the updated matrixQ. Not referenced ifWANTQ = .FALSE.. Iykyk. πLDQβLDQisINTEGER. The leading dimension of the arrayQ.LDQ >= 1; ifWANTQ = .TRUE.,LDQ >= N. πZβZis aCOMPLEX*16array, dimension(LDZ,N). IfWANTZ = .TRUE., on entry it's the unitary matrixZ; on exit, it's the updated matrixZ. Not referenced ifWANTZ = .FALSE.. πLDZβLDZisINTEGER. The leading dimension of the arrayZ.LDZ >= 1; ifWANTZ = .TRUE.,LDZ >= N. βJ1βJ1isINTEGER. The index to the first block(A11, B11). πINFOβINFOisINTEGER.=0: successful exit, yay!=1: the transformed matrix pair(A, B)would be too far from generalized Schur form; the problem is ill-conditioned. π
Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Further Details π§
In the current code both weak and strong stability tests are performed. The user can omit the strong stability test by changing the internal logical parameter WANDS to .FALSE.. See ref. [2] for details. π
Contributors π«Ά
Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden. π
References π
- B. Kagstrom; A Direct Method for Reordering Eigenvalues in the Generalized Real Schur Form of a Regular Matrix Pair (A, B), in M.S. Moonen et al (eds), Linear Algebra for Large Scale and Real-Time Applications, Kluwer Academic Publ. 1993, pp 195-218.
- B. Kagstrom and P. Poromaa; Computing Eigenspaces with Specified Eigenvalues of a Regular Matrix Pair (A, B) and Condition Estimation: Theory, Algorithms and Software, Report UMINF-94.04, Department of Computing Science, Umea University, S-901 87 Umea, Sweden, 1994. Also as LAPACK Working Note 87. To appear in Numerical Algorithms, 1996.
Author π€
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