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- DSBGVD - compute all the eigenvalues, and optionally, the eigenvectors of
- a real generalized symmetric-definite banded eigenproblem, of the form
- A*x=(lambda)*B*x
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- SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
- SUBROUTINE DSBGVD( JOBZ, UPLO, N, KA, KB, AB, LDAB, BB, LDBB, W, Z, LDZ,
- WORK, LWORK, IWORK, LIWORK, INFO )
-
- CHARACTER JOBZ, UPLO
-
- INTEGER INFO, KA, KB, LDAB, LDBB, LDZ, LIWORK, LWORK, N
-
- INTEGER IWORK( * )
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- DOUBLE PRECISION AB( LDAB, * ), BB( LDBB, * ), W( * ), WORK(
- * ), Z( LDZ, * )
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- IIIIMMMMPPPPLLLLEEEEMMMMEEEENNNNTTTTAAAATTTTIIIIOOOONNNN
- These routines are part of the SCSL Scientific Library and can be loaded
- using either the -lscs or the -lscs_mp option. The -lscs_mp option
- directs the linker to use the multi-processor version of the library.
-
- When linking to SCSL with -lscs or -lscs_mp, the default integer size is
- 4 bytes (32 bits). Another version of SCSL is available in which integers
- are 8 bytes (64 bits). This version allows the user access to larger
- memory sizes and helps when porting legacy Cray codes. It can be loaded
- by using the -lscs_i8 option or the -lscs_i8_mp option. A program may use
- only one of the two versions; 4-byte integer and 8-byte integer library
- calls cannot be mixed.
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- PPPPUUUURRRRPPPPOOOOSSSSEEEE
- DSBGVD computes all the eigenvalues, and optionally, the eigenvectors of
- a real generalized symmetric-definite banded eigenproblem, of the form
- A*x=(lambda)*B*x. Here A and B are assumed to be symmetric and banded,
- and B is also positive definite. If eigenvectors are desired, it uses a
- divide and conquer algorithm.
-
- The divide and conquer algorithm makes very mild assumptions about
- floating point arithmetic. It will work on machines with a guard digit in
- add/subtract, or on those binary machines without guard digits which
- subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or Cray-2. It could
- conceivably fail on hexadecimal or decimal machines without guard digits,
- but we know of none.
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- AAAARRRRGGGGUUUUMMMMEEEENNNNTTTTSSSS
- JOBZ (input) CHARACTER*1
- = 'N': Compute eigenvalues only;
- = 'V': Compute eigenvalues and eigenvectors.
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- UPLO (input) CHARACTER*1
- = 'U': Upper triangles of A and B are stored;
- = 'L': Lower triangles of A and B are stored.
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- N (input) INTEGER
- The order of the matrices A and B. N >= 0.
-
- KA (input) INTEGER
- The number of superdiagonals of the matrix A if UPLO = 'U', or
- the number of subdiagonals if UPLO = 'L'. KA >= 0.
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- KB (input) INTEGER
- The number of superdiagonals of the matrix B if UPLO = 'U', or
- the number of subdiagonals if UPLO = 'L'. KB >= 0.
-
- AB (input/output) DOUBLE PRECISION array, dimension (LDAB, N)
- On entry, the upper or lower triangle of the symmetric band
- matrix A, stored in the first ka+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(ka+1+i-j,j) = A(i,j) for max(1,j-
- ka)<=i<=j; if UPLO = 'L', AB(1+i-j,j) = A(i,j) for
- j<=i<=min(n,j+ka).
-
- On exit, the contents of AB are destroyed.
-
- LDAB (input) INTEGER
- The leading dimension of the array AB. LDAB >= KA+1.
-
- BB (input/output) DOUBLE PRECISION array, dimension (LDBB, N)
- On entry, the upper or lower triangle of the symmetric band
- matrix B, stored in the first kb+1 rows of the array. The j-th
- column of B is stored in the j-th column of the array BB as
- follows: if UPLO = 'U', BB(ka+1+i-j,j) = B(i,j) for max(1,j-
- kb)<=i<=j; if UPLO = 'L', BB(1+i-j,j) = B(i,j) for
- j<=i<=min(n,j+kb).
-
- On exit, the factor S from the split Cholesky factorization B =
- S**T*S, as returned by DPBSTF.
-
- LDBB (input) INTEGER
- The leading dimension of the array BB. LDBB >= KB+1.
-
- W (output) DOUBLE PRECISION array, dimension (N)
- If INFO = 0, the eigenvalues in ascending order.
-
- Z (output) DOUBLE PRECISION array, dimension (LDZ, N)
- If JOBZ = 'V', then if INFO = 0, Z contains the matrix Z of
- eigenvectors, with the i-th column of Z holding the eigenvector
- associated with W(i). The eigenvectors are normalized so
- Z**T*B*Z = I. If JOBZ = 'N', then Z is not referenced.
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- LDZ (input) INTEGER
- The leading dimension of the array Z. LDZ >= 1, and if JOBZ =
- 'V', LDZ >= max(1,N).
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- WORK (workspace/output) DOUBLE PRECISION array, dimension (LWORK)
- On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
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- LWORK (input) INTEGER
- The dimension of the array WORK. If N <= 1, LWORK
- >= 1. If JOBZ = 'N' and N > 1, LWORK >= 3*N. If JOBZ = 'V' and
- N > 1, LWORK >= 1 + 5*N + 2*N**2.
-
- 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.
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- IWORK (workspace/output) INTEGER array, dimension (LIWORK)
- On exit, if LIWORK > 0, IWORK(1) returns the optimal LIWORK.
-
- LIWORK (input) INTEGER
- The dimension of the array IWORK. If JOBZ = 'N' or N <= 1,
- LIWORK >= 1. If JOBZ = 'V' and N > 1, LIWORK >= 3 + 5*N.
-
- If LIWORK = -1, then a workspace query is assumed; the routine
- only calculates the optimal size of the IWORK array, returns this
- value as the first entry of the IWORK array, and no error message
- related to LIWORK is issued by XERBLA.
-
- INFO (output) INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
- > 0: if INFO = i, and i is:
- <= N: the algorithm failed to converge: i off-diagonal elements
- of an intermediate tridiagonal form did not converge to zero; >
- N: if INFO = N + i, for 1 <= i <= N, then DPBSTF
- returned INFO = i: B is not positive definite. The factorization
- of B could not be completed and no eigenvalues or eigenvectors
- were computed.
-
- FFFFUUUURRRRTTTTHHHHEEEERRRR DDDDEEEETTTTAAAAIIIILLLLSSSS
- Based on contributions by
- Mark Fahey, Department of Mathematics, Univ. of Kentucky, USA
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- SSSSEEEEEEEE AAAALLLLSSSSOOOO
- INTRO_LAPACK(3S), INTRO_SCSL(3S)
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- This man page is available only online.
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