SUBROUTINE CGEEVX( BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, W, VL, * LDVL, VR, LDVR, ILO, IHI, SCALE, ABNRM, RCONE, RCONV, WORK, * LDWORK, WORK2, INFO) CHARACTER * 1 BALANC, JOBVL, JOBVR, SENSE COMPLEX A(LDA,*), W(*), VL(LDVL,*), VR(LDVR,*), WORK(*) INTEGER N, LDA, LDVL, LDVR, ILO, IHI, LDWORK, INFO REAL ABNRM REAL SCALE(*), RCONE(*), RCONV(*), WORK2(*) SUBROUTINE CGEEVX_64( BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, W, VL, * LDVL, VR, LDVR, ILO, IHI, SCALE, ABNRM, RCONE, RCONV, WORK, * LDWORK, WORK2, INFO) CHARACTER * 1 BALANC, JOBVL, JOBVR, SENSE COMPLEX A(LDA,*), W(*), VL(LDVL,*), VR(LDVR,*), WORK(*) INTEGER*8 N, LDA, LDVL, LDVR, ILO, IHI, LDWORK, INFO REAL ABNRM REAL SCALE(*), RCONE(*), RCONV(*), WORK2(*)
SUBROUTINE GEEVX( BALANC, JOBVL, JOBVR, SENSE, [N], A, [LDA], W, VL, * [LDVL], VR, [LDVR], ILO, IHI, SCALE, ABNRM, RCONE, RCONV, [WORK], * [LDWORK], [WORK2], [INFO]) CHARACTER(LEN=1) :: BALANC, JOBVL, JOBVR, SENSE COMPLEX, DIMENSION(:) :: W, WORK COMPLEX, DIMENSION(:,:) :: A, VL, VR INTEGER :: N, LDA, LDVL, LDVR, ILO, IHI, LDWORK, INFO REAL :: ABNRM REAL, DIMENSION(:) :: SCALE, RCONE, RCONV, WORK2 SUBROUTINE GEEVX_64( BALANC, JOBVL, JOBVR, SENSE, [N], A, [LDA], W, * VL, [LDVL], VR, [LDVR], ILO, IHI, SCALE, ABNRM, RCONE, RCONV, * [WORK], [LDWORK], [WORK2], [INFO]) CHARACTER(LEN=1) :: BALANC, JOBVL, JOBVR, SENSE COMPLEX, DIMENSION(:) :: W, WORK COMPLEX, DIMENSION(:,:) :: A, VL, VR INTEGER(8) :: N, LDA, LDVL, LDVR, ILO, IHI, LDWORK, INFO REAL :: ABNRM REAL, DIMENSION(:) :: SCALE, RCONE, RCONV, WORK2
void cgeevx(char balanc, char jobvl, char jobvr, char sense, int n, complex *a, int lda, complex *w, complex *vl, int ldvl, complex *vr, int ldvr, int *ilo, int *ihi, float *scale, float *abnrm, float *rcone, float *rconv, int *info);
void cgeevx_64(char balanc, char jobvl, char jobvr, char sense, long n, complex *a, long lda, complex *w, complex *vl, long ldvl, complex *vr, long ldvr, long *ilo, long *ihi, float *scale, float *abnrm, float *rcone, float *rconv, long *info);
Optionally also, it computes a balancing transformation to improve the conditioning of the eigenvalues and eigenvectors (ILO, IHI, SCALE, and ABNRM), reciprocal condition numbers for the eigenvalues (RCONDE), and reciprocal condition numbers for the right
eigenvectors (RCONDV).
The right eigenvector v(j) of A satisfies
A * v(j) = lambda(j) * v(j)
where lambda(j) is its eigenvalue.
The left eigenvector u(j) of A satisfies
u(j)**H * A = lambda(j) * u(j)**H
where u(j)**H denotes the conjugate transpose of u(j).
The computed eigenvectors are normalized to have Euclidean norm equal to 1 and largest component real.
Balancing a matrix means permuting the rows and columns to make it more nearly upper triangular, and applying a diagonal similarity transformation D * A * D**(-1), where D is a diagonal matrix, to make its rows and columns closer in norm and the condition numbers of its eigenvalues and eigenvectors smaller. The computed reciprocal condition numbers correspond to the balanced matrix. Permuting rows and columns will not change the condition numbers (in exact arithmetic) but diagonal scaling will. For further explanation of balancing, see section 4.10.2 of the LAPACK Users' Guide.
If LDWORK = -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 LDWORK is issued by XERBLA.