Computes all eigenvalues and, optionally, eigenvectors of a real generalized symmetric definite eigenproblem.
call ssygv(itype, jobz, uplo, n, a, lda, b, ldb, w, work, lwork, info)
call dsygv(itype, jobz, uplo, n, a, lda, b, ldb, w, work, lwork, info)
call sygv(a, b, w [,itype] [,jobz] [,uplo] [,info])
- mkl.fi, lapack.f90
The routine computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem, of the form
A*x = λ*B*x, A*B*x = λ*x, or B*A*x = λ*x.
Here A and B are assumed to be symmetric and B is also positive definite.
INTEGER. Must be 1 or 2 or 3.
Specifies the problem type to be solved:
if itype = 1, the problem type is A*x = lambda*B*x;
if itype = 2, the problem type is A*B*x = lambda*x;
if itype = 3, the problem type is B*A*x = lambda*x.
CHARACTER*1. Must be 'N' or 'V'.
If jobz = 'N', then compute eigenvalues only.
If jobz = 'V', then compute eigenvalues and eigenvectors.
CHARACTER*1. Must be 'U' or 'L'.
If uplo = 'U', arrays a and b store the upper triangles of A and B;
If uplo = 'L', arrays a and b store the lower triangles of A and B.
INTEGER. The order of the matrices A and B (n≥ 0).
- a, b, work
REAL for ssygv
DOUBLE PRECISION for dsygv.
a(lda,*) contains the upper or lower triangle of the symmetric matrix A, as specified by uplo.
The second dimension of a must be at least max(1, n).
b(ldb,*) contains the upper or lower triangle of the symmetric positive definite matrix B, as specified by uplo.
The second dimension of b must be at least max(1, n).
work is a workspace array, its dimension max(1, lwork).
INTEGER. The leading dimension of a; at least max(1, n).
INTEGER. The leading dimension of b; at least max(1, n).
The dimension of the array work;
lwork≥ max(1, 3n-1).
If lwork = -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 lwork is issued by xerbla.
See Application Notes for the suggested value of lwork.
On exit, if jobz = 'V', then if info = 0, a contains the matrix Z of eigenvectors. The eigenvectors are normalized as follows:
if itype = 1 or 2, ZT*B*Z = I;
if itype = 3, ZT*inv(B)*Z = I;
If jobz = 'N', then on exit the upper triangle (if uplo = 'U') or the lower triangle (if uplo = 'L') of A, including the diagonal, is destroyed.
On exit, if info≤n, the part of b containing the matrix is overwritten by the triangular factor U or L from the Cholesky factorization B = UT*U or B = L*LT.
REAL for ssygv
DOUBLE PRECISION for dsygv.
Array, size at least max(1, n).
If info = 0, contains the eigenvalues in ascending order.
On exit, if info = 0, then work(1) returns the required minimal size of lwork.
If info = 0, the execution is successful.
If info = -i, the i-th argument had an illegal value.
If info > 0, spotrf/dpotrf or ssyev/dsyev returned an error code:
If info = i≤n, ssyev/dsyev failed to converge, and i off-diagonal elements of an intermediate tridiagonal did not converge to zero;
If info = n + i, for 1 ≤i≤n, then the leading minor of order i of B is not positive-definite. The factorization of B could not be completed and no eigenvalues or eigenvectors were computed.
LAPACK 95 Interface Notes
Routines in Fortran 95 interface have fewer arguments in the calling sequence than their FORTRAN 77 counterparts. For general conventions applied to skip redundant or restorable arguments, see LAPACK 95 Interface Conventions.
Specific details for the routine sygv interface are the following:
Holds the matrix A of size (n, n).
Holds the matrix B of size (n, n).
Holds the vector of length n.
Must be 1, 2, or 3. The default value is 1.
Must be 'N' or 'V'. The default value is 'N'.
Must be 'U' or 'L'. The default value is 'U'.
For optimum performance use lwork≥ (nb+2)*n, where nb is the blocksize for ssytrd/dsytrd returned by ilaenv.
If it is not clear how much workspace to supply, use a generous value of lwork (or liwork) for the first run or set lwork = -1 (liwork = -1).
If lwork (or liwork) has any of admissible sizes, which is no less than the minimal value described, the routine completes the task, though probably not so fast as with a recommended workspace, and provides the recommended workspace in the first element of the corresponding array (work, iwork) on exit. Use this value (work(1), iwork(1)) for subsequent runs.
If lwork = -1 (liwork = -1), the routine returns immediately and provides the recommended workspace in the first element of the corresponding array (work, iwork). This operation is called a workspace query.
Note that if work (liwork) is less than the minimal required value and is not equal to -1, the routine returns immediately with an error exit and does not provide any information on the recommended workspace.