GPISP
This function computes the performance index for a generalized real symmetric eigensystem problem.
Function Return Value
GPISP — Performance index. (Output)
Required Arguments
NEVAL — Number of eigenvalue/eigenvector pairs that the performance index computation is based on. (Input)
A — Symmetric matrix of order N. (Input)
B — Symmetric matrix of order N. (Input)
EVAL — Vector of length NEVAL containing eigenvalues. (Input)
EVEC — N by NEVAL array containing the eigenvectors. (Input)
Optional Arguments
N — Order of the matrices A and B. (Input)
Default: N = SIZE (A,2).
LDA — Leading dimension of A exactly as specified in the dimension statement in the calling program. (Input)
Default: LDA = SIZE (A,1).
LDB — Leading dimension of B exactly as specified in the dimension statement in the calling program. (Input)
Default: LDB = SIZE (B,1).
LDEVEC — Leading dimension of EVEC exactly as specified in the dimension statement in the calling program. (Input)
Default: LDEVEC = SIZE (EVEC,1).
FORTRAN 90 Interface
Generic: GPISP (NEVAL, A, B, EVAL, EVEC [,…])
Specific: The specific interface names are S_GPISP and D_GPISP.
FORTRAN 77 Interface
Single: GPISP (N, NEVAL, A, LDA, B, LDB, EVAL, EVEC, LDEVEC)
Double: The double precision name is DGPISP.
Description
Let M = NEVAL, λ = EVAL, xj = EVEC(*, J) , the j-th column of EVEC. Also, let ɛ be the machine precision given by AMACH(4). The performance index, , is defined to be
The norms used are a modified form of the 1-norm. The norm of the complex vector v is
While the exact value of is highly machine dependent, the performance of GVCSP is considered excellent if < 1, good if 1 ≤ ≤ 100, and poor if > 100.. The performance index was first developed by the EISPACK project at Argonne National Laboratory; see Garbow et al. (1977, pages 77-79).
Comments
1. Workspace may be explicitly provided, if desired, by use of G2ISP/DG2ISP. The reference is:
G2ISP (N, NEVAL, A, LDA, B, LDB, EVAL, EVEC, LDEVEC, WORK)
The additional argument is:
WORK — Work array of length 2 * N.
2. Informational errors
Type |
Code |
Description |
3 |
1 |
Performance index is greater than 100. |
3 |
2 |
An eigenvector is zero. |
3 |
3 |
The matrix A is zero. |
3 |
4 |
The matrix B is zero. |
3. The J-th eigenvalue should be ALPHA(J)/BETAV(J), its eigenvector should be in the J-th column of EVEC.
Example
For an example of GPISP, see routine GVCSP.