LFTHF
Computes the U DUH factorization of a complex Hermitian matrix.
Required Arguments
A — Complex N by N matrix containing the coefficient matrix of the Hermitian linear system. (Input)
Only the upper triangle of A is referenced.
FACT — Complex N by N matrix containing the information about the factorization of the Hermitian matrix A. (Output)
Only the upper triangle of FACT is used. If A is not needed, A and FACT can share the same storage locations.
IPVT — Vector of length N containing the pivoting information for the factorization. (Output)
Optional Arguments
N — Order of the matrix. (Input)
Default: N = size (A,2).
LDA — Leading dimension of A exactly as specified in the dimension statement of the calling program. (Input)
Default: LDA = size (A,1).
LDFACT — Leading dimension of FACT exactly as specified in the dimension statement of the calling program. (Input)
Default: LDFACT = size (FACT,1).
FORTRAN 90 Interface
Generic: CALL LFTHF (A, FACT, IPVT [, …])
Specific: The specific interface names are S_LFTHF and D_LFTHF.
FORTRAN 77 Interface
Single: CALL LFTHF (N, A, LDA, FACT, LDFACT, IPVT)
Double: The double precision name is DLFTHF.
Description
Routine LFTHF performs a U DUH factorization of a complex Hermitian indefinite coefficient matrix. The UDUH factorization is called the diagonal pivoting factorization.
LFTHF fails if A is singular or very close to a singular matrix.
The U DUH factors are returned in a form that is compatible with routines LFIHF, LFSHF and LFDHF. To solve systems of equations with multiple right-hand-side vectors, use LFTHF followed by either LFIHF or LFSHF called once for each right-hand side. The routine LFDHF can be called to compute the determinant of the coefficient matrix after LFTHF has performed the factorization.
The underlying code is based on either LINPACK or LAPACK code depending upon which supporting libraries are used during linking. For a detailed explanation see Using ScaLAPACK, LAPACK, LINPACK, and EISPACK in the Introduction section of this manual.
Comments
Informational errors
|
Type |
Code |
Description |
|
3 |
4 |
The input matrix is not Hermitian. It has a diagonal entry with a small imaginary part. |
|
4 |
2 |
The input matrix is singular. |
|
4 |
4 |
The input matrix is not Hermitian. It has a diagonal entry with an imaginary part. |
Example
The inverse of a 3 × 3 matrix is computed. LFTHF is called to factor the matrix and check for singularity. LFSHF is called to determine the columns of the inverse.
USE LFTHF_INT
USE LFSHF_INT
USE WRCRN_INT
! Declare variables
INTEGER LDA, N
PARAMETER (LDA=3, N=3)
INTEGER IPVT(N)
COMPLEX A(LDA,LDA), AINV(LDA,N), FACT(LDA,LDA), RJ(N)
!
! Set values for A
!
! A = ( 3.0+0.0i 1.0-1.0i 4.0+0.0i )
! ( 1.0+1.0i 2.0+0.0i -5.0+1.0i )
! ( 4.0+0.0i -5.0-1.0i -2.0+0.0i )
!
DATA A/(3.0,0.0), (1.0,1.0), (4.0,0.0), (1.0,-1.0), (2.0,0.0),&
(-5.0,-1.0), (4.0,0.0), (-5.0,1.0), (-2.0,0.0)/
! Factor A
CALL LFTHF (A, FACT, IPVT)
! Set up the columns of the identity
! matrix one at a time in RJ
RJ = (0.0E0,0.0E0)
DO 10 J=1, N
RJ(J) = (1.0E0, 0.0E0)
! RJ is the J-th column of the identity
! matrix so the following LFSHF
! reference places the J-th column of
! the inverse of A in the J-th column
! of AINV
CALL LFSHF (FACT, IPVT, RJ, AINV(:,J))
RJ(J) = (0.0E0, 0.0E0)
10 CONTINUE
! Print the inverse
CALL WRCRN (’AINV’, AINV)
END
AINV
1 2 3
1 ( 0.2000, 0.0000) ( 0.1200, 0.0400) ( 0.0800,-0.0400)
2 ( 0.1200,-0.0400) ( 0.1467, 0.0000) (-0.1267,-0.0067)
3 ( 0.0800, 0.0400) (-0.1267, 0.0067) (-0.0267, 0.0000)
