LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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◆ zpbequ()

subroutine zpbequ ( character uplo,
integer n,
integer kd,
complex*16, dimension( ldab, * ) ab,
integer ldab,
double precision, dimension( * ) s,
double precision scond,
double precision amax,
integer info )

ZPBEQU

Download ZPBEQU + dependencies [TGZ] [ZIP] [TXT]

Purpose:
!>
!> ZPBEQU computes row and column scalings intended to equilibrate a
!> Hermitian positive definite band matrix A and reduce its condition
!> number (with respect to the two-norm).  S contains the scale factors,
!> S(i) = 1/sqrt(A(i,i)), chosen so that the scaled matrix B with
!> elements B(i,j) = S(i)*A(i,j)*S(j) has ones on the diagonal.  This
!> choice of S puts the condition number of B within a factor N of the
!> smallest possible condition number over all possible diagonal
!> scalings.
!> 
Parameters
[in]UPLO
!>          UPLO is CHARACTER*1
!>          = 'U':  Upper triangular of A is stored;
!>          = 'L':  Lower triangular of A is stored.
!> 
[in]N
!>          N is INTEGER
!>          The order of the matrix A.  N >= 0.
!> 
[in]KD
!>          KD is INTEGER
!>          The number of superdiagonals of the matrix A if UPLO = 'U',
!>          or the number of subdiagonals if UPLO = 'L'.  KD >= 0.
!> 
[in]AB
!>          AB is COMPLEX*16 array, dimension (LDAB,N)
!>          The upper or lower triangle of the Hermitian band matrix A,
!>          stored in the first KD+1 rows of the array.  The j-th column
!>          of A is stored in the j-th column of the array AB as follows:
!>          if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
!>          if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).
!> 
[in]LDAB
!>          LDAB is INTEGER
!>          The leading dimension of the array A.  LDAB >= KD+1.
!> 
[out]S
!>          S is DOUBLE PRECISION array, dimension (N)
!>          If INFO = 0, S contains the scale factors for A.
!> 
[out]SCOND
!>          SCOND is DOUBLE PRECISION
!>          If INFO = 0, S contains the ratio of the smallest S(i) to
!>          the largest S(i).  If SCOND >= 0.1 and AMAX is neither too
!>          large nor too small, it is not worth scaling by S.
!> 
[out]AMAX
!>          AMAX is DOUBLE PRECISION
!>          Absolute value of largest matrix element.  If AMAX is very
!>          close to overflow or very close to underflow, the matrix
!>          should be scaled.
!> 
[out]INFO
!>          INFO is INTEGER
!>          = 0:  successful exit
!>          < 0:  if INFO = -i, the i-th argument had an illegal value.
!>          > 0:  if INFO = i, the i-th diagonal element is nonpositive.
!> 
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.