laed8#
Functions
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void slaed8(const INT icompq, INT *K, const INT n, const INT qsiz, f32 *D, f32 *Q, const INT ldq, INT *indxq, f32 *rho, const INT cutpnt, f32 *Z, f32 *dlambda, f32 *Q2, const INT ldq2, f32 *W, INT *perm, INT *givptr, INT *givcol, f32 *givnum, INT *indxp, INT *indx, INT *info)#
SLAED8 merges the two sets of eigenvalues together into a single sorted set.
Then it tries to deflate the size of the problem. There are two ways in which deflation can occur: when two or more eigenvalues are close together or if there is a tiny element in the Z vector. For each such occurrence the order of the related secular equation problem is reduced by one.
Parameters
inicompq= 0: Compute eigenvalues only. = 1: Compute eigenvectors of original dense symmetric matrix also. On entry, Q contains the orthogonal matrix used to reduce the original matrix to tridiagonal form.
outKThe number of non-deflated eigenvalues, and the order of the related secular equation.
innThe dimension of the symmetric tridiagonal matrix. N >= 0.
inqsizThe dimension of the orthogonal matrix used to reduce the full matrix to tridiagonal form. QSIZ >= N if ICOMPQ = 1.
inoutDDouble precision array, dimension (N). On entry, the eigenvalues of the two submatrices to be combined. On exit, the trailing (N-K) updated eigenvalues (those which were deflated) sorted into increasing order.
inoutQDouble precision array, dimension (LDQ, N). If ICOMPQ = 0, Q is not referenced. Otherwise, on entry, Q contains the eigenvectors of the partially solved system which has been previously updated in matrix multiplies with other partially solved eigensystems. On exit, Q contains the trailing (N-K) updated eigenvectors (those which were deflated) in its last N-K columns.
inldqThe leading dimension of the array Q. LDQ >= max(1,N).
inindxqInteger array, dimension (N). The permutation which separately sorts the two sub-problems in D into ascending order. Note that elements in the second half of this permutation must first have CUTPNT added to their values in order to be accurate.
inoutrhoOn entry, the off-diagonal element associated with the rank-1 cut which originally split the two submatrices which are now being recombined. On exit, rho has been modified to the value required by SLAED3.
incutpntThe location of the last eigenvalue in the leading sub-matrix. min(1,N) <= CUTPNT <= N.
inoutZDouble precision array, dimension (N). On entry, Z contains the updating vector (the last row of the first sub-eigenvector matrix and the first row of the second sub-eigenvector matrix). On exit, the contents of Z are destroyed by the updating process.
outdlambdaDouble precision array, dimension (N). A copy of the first K eigenvalues which will be used by SLAED3 to form the secular equation.
outQ2Double precision array, dimension (LDQ2, N). If ICOMPQ = 0, Q2 is not referenced. Otherwise, a copy of the first K eigenvectors which will be used by SLAED7 in a matrix multiply (DGEMM) to update the new eigenvectors.
inldq2The leading dimension of the array Q2. LDQ2 >= max(1,N).
outWDouble precision array, dimension (N). The first k values of the final deflation-altered z-vector and will be passed to SLAED3.
outpermInteger array, dimension (N). The permutations (from deflation and sorting) to be applied to each eigenblock.
outgivptrThe number of Givens rotations which took place in this subproblem.
outgivcolInteger array, dimension (2 * N). Each pair of numbers indicates a pair of columns to take place in a Givens rotation. Stored column-major with leading dimension 2.
outgivnumDouble precision array, dimension (2 * N). Each number indicates the C and S values to be used in the corresponding Givens rotation. Stored column-major with leading dimension 2.
outindxpInteger array, dimension (N). The permutation used to place deflated values of D at the end of the array. INDXP(0:K-1) points to the nondeflated D-values and INDXP(K:N-1) points to the deflated eigenvalues.
outindxInteger array, dimension (N). The permutation used to sort the contents of D into ascending order.
outinfo= 0: successful exit.
< 0: if info = -i, the i-th argument had an illegal value.
void slaed8(
const INT icompq,
INT* K,
const INT n,
const INT qsiz,
f32* D,
f32* Q,
const INT ldq,
INT* indxq,
f32* rho,
const INT cutpnt,
f32* Z,
f32* dlambda,
f32* Q2,
const INT ldq2,
f32* W,
INT* perm,
INT* givptr,
INT* givcol,
f32* givnum,
INT* indxp,
INT* indx,
INT* info
);
Functions
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void dlaed8(const INT icompq, INT *K, const INT n, const INT qsiz, f64 *D, f64 *Q, const INT ldq, INT *indxq, f64 *rho, const INT cutpnt, f64 *Z, f64 *dlambda, f64 *Q2, const INT ldq2, f64 *W, INT *perm, INT *givptr, INT *givcol, f64 *givnum, INT *indxp, INT *indx, INT *info)#
DLAED8 merges the two sets of eigenvalues together into a single sorted set.
Then it tries to deflate the size of the problem. There are two ways in which deflation can occur: when two or more eigenvalues are close together or if there is a tiny element in the Z vector. For each such occurrence the order of the related secular equation problem is reduced by one.
Parameters
inicompq= 0: Compute eigenvalues only. = 1: Compute eigenvectors of original dense symmetric matrix also. On entry, Q contains the orthogonal matrix used to reduce the original matrix to tridiagonal form.
outKThe number of non-deflated eigenvalues, and the order of the related secular equation.
innThe dimension of the symmetric tridiagonal matrix. N >= 0.
inqsizThe dimension of the orthogonal matrix used to reduce the full matrix to tridiagonal form. QSIZ >= N if ICOMPQ = 1.
inoutDDouble precision array, dimension (N). On entry, the eigenvalues of the two submatrices to be combined. On exit, the trailing (N-K) updated eigenvalues (those which were deflated) sorted into increasing order.
inoutQDouble precision array, dimension (LDQ, N). If ICOMPQ = 0, Q is not referenced. Otherwise, on entry, Q contains the eigenvectors of the partially solved system which has been previously updated in matrix multiplies with other partially solved eigensystems. On exit, Q contains the trailing (N-K) updated eigenvectors (those which were deflated) in its last N-K columns.
inldqThe leading dimension of the array Q. LDQ >= max(1,N).
inindxqInteger array, dimension (N). The permutation which separately sorts the two sub-problems in D into ascending order. Note that elements in the second half of this permutation must first have CUTPNT added to their values in order to be accurate.
inoutrhoOn entry, the off-diagonal element associated with the rank-1 cut which originally split the two submatrices which are now being recombined. On exit, rho has been modified to the value required by DLAED3.
incutpntThe location of the last eigenvalue in the leading sub-matrix. min(1,N) <= CUTPNT <= N.
inoutZDouble precision array, dimension (N). On entry, Z contains the updating vector (the last row of the first sub-eigenvector matrix and the first row of the second sub-eigenvector matrix). On exit, the contents of Z are destroyed by the updating process.
outdlambdaDouble precision array, dimension (N). A copy of the first K eigenvalues which will be used by DLAED3 to form the secular equation.
outQ2Double precision array, dimension (LDQ2, N). If ICOMPQ = 0, Q2 is not referenced. Otherwise, a copy of the first K eigenvectors which will be used by DLAED7 in a matrix multiply (DGEMM) to update the new eigenvectors.
inldq2The leading dimension of the array Q2. LDQ2 >= max(1,N).
outWDouble precision array, dimension (N). The first k values of the final deflation-altered z-vector and will be passed to DLAED3.
outpermInteger array, dimension (N). The permutations (from deflation and sorting) to be applied to each eigenblock.
outgivptrThe number of Givens rotations which took place in this subproblem.
outgivcolInteger array, dimension (2 * N). Each pair of numbers indicates a pair of columns to take place in a Givens rotation. Stored column-major with leading dimension 2.
outgivnumDouble precision array, dimension (2 * N). Each number indicates the C and S values to be used in the corresponding Givens rotation. Stored column-major with leading dimension 2.
outindxpInteger array, dimension (N). The permutation used to place deflated values of D at the end of the array. INDXP(0:K-1) points to the nondeflated D-values and INDXP(K:N-1) points to the deflated eigenvalues.
outindxInteger array, dimension (N). The permutation used to sort the contents of D into ascending order.
outinfo= 0: successful exit.
< 0: if info = -i, the i-th argument had an illegal value.
void dlaed8(
const INT icompq,
INT* K,
const INT n,
const INT qsiz,
f64* D,
f64* Q,
const INT ldq,
INT* indxq,
f64* rho,
const INT cutpnt,
f64* Z,
f64* dlambda,
f64* Q2,
const INT ldq2,
f64* W,
INT* perm,
INT* givptr,
INT* givcol,
f64* givnum,
INT* indxp,
INT* indx,
INT* info
);
Functions
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void claed8(INT *K, const INT n, const INT qsiz, c64 *Q, const INT ldq, f32 *D, f32 *rho, const INT cutpnt, f32 *Z, f32 *dlambda, c64 *Q2, const INT ldq2, f32 *W, INT *indxp, INT *indx, INT *indxq, INT *perm, INT *givptr, INT *givcol, f32 *givnum, INT *info)#
CLAED8 merges the two sets of eigenvalues together into a single sorted set.
Then it tries to deflate the size of the problem. There are two ways in which deflation can occur: when two or more eigenvalues are close together or if there is a tiny element in the Z vector. For each such occurrence the order of the related secular equation problem is reduced by one.
Parameters
outKThe number of non-deflated eigenvalues, and the order of the related secular equation.
innThe dimension of the symmetric tridiagonal matrix. N >= 0.
inqsizThe dimension of the unitary matrix used to reduce the dense or band matrix to tridiagonal form. QSIZ >= N if ICOMPQ = 1.
inoutQComplex array, dimension (LDQ, N). On entry, Q contains the eigenvectors of the partially solved system which has been previously updated in matrix multiplies with other partially solved eigensystems. On exit, Q contains the trailing (N-K) updated eigenvectors (those which were deflated) in its last N-K columns.
inldqThe leading dimension of the array Q. LDQ >= max(1,N).
inoutDSingle precision array, dimension (N). On entry, the eigenvalues of the two submatrices to be combined. On exit, the trailing (N-K) updated eigenvalues (those which were deflated) sorted into increasing order.
inoutrhoOn entry, the off-diagonal element associated with the rank-1 cut which originally split the two submatrices which are now being recombined. On exit, rho has been modified to the value required by SLAED3.
incutpntThe location of the last eigenvalue in the leading sub-matrix. min(1,N) <= CUTPNT <= N.
inoutZSingle precision array, dimension (N). On entry, Z contains the updating vector (the last row of the first sub-eigenvector matrix and the first row of the second sub-eigenvector matrix). On exit, the contents of Z are destroyed by the updating process.
outdlambdaSingle precision array, dimension (N). A copy of the first K eigenvalues which will be used by SLAED3 to form the secular equation.
outQ2Complex array, dimension (LDQ2, N). A copy of the first K eigenvectors which will be used by SLAED7 in a matrix multiply (DGEMM) to update the new eigenvectors.
inldq2The leading dimension of the array Q2. LDQ2 >= max(1,N).
outWSingle precision array, dimension (N). The first k values of the final deflation-altered z-vector and will be passed to SLAED3.
outindxpInteger array, dimension (N). The permutation used to place deflated values of D at the end of the array. INDXP(0:K-1) points to the nondeflated D-values and INDXP(K:N-1) points to the deflated eigenvalues.
outindxInteger array, dimension (N). The permutation used to sort the contents of D into ascending order.
inindxqInteger array, dimension (N). The permutation which separately sorts the two sub-problems in D into ascending order. Note that elements in the second half of this permutation must first have CUTPNT added to their values in order to be accurate.
outpermInteger array, dimension (N). The permutations (from deflation and sorting) to be applied to each eigenblock.
outgivptrThe number of Givens rotations which took place in this subproblem.
outgivcolInteger array, dimension (2 * N). Each pair of numbers indicates a pair of columns to take place in a Givens rotation. Stored column-major with leading dimension 2.
outgivnumSingle precision array, dimension (2 * N). Each number indicates the C and S values to be used in the corresponding Givens rotation. Stored column-major with leading dimension 2.
outinfo= 0: successful exit.
< 0: if info = -i, the i-th argument had an illegal value.
void claed8(
INT* K,
const INT n,
const INT qsiz,
c64* Q,
const INT ldq,
f32* D,
f32* rho,
const INT cutpnt,
f32* Z,
f32* dlambda,
c64* Q2,
const INT ldq2,
f32* W,
INT* indxp,
INT* indx,
INT* indxq,
INT* perm,
INT* givptr,
INT* givcol,
f32* givnum,
INT* info
);
Functions
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void zlaed8(INT *K, const INT n, const INT qsiz, c128 *Q, const INT ldq, f64 *D, f64 *rho, const INT cutpnt, f64 *Z, f64 *dlambda, c128 *Q2, const INT ldq2, f64 *W, INT *indxp, INT *indx, INT *indxq, INT *perm, INT *givptr, INT *givcol, f64 *givnum, INT *info)#
ZLAED8 merges the two sets of eigenvalues together into a single sorted set.
Then it tries to deflate the size of the problem. There are two ways in which deflation can occur: when two or more eigenvalues are close together or if there is a tiny element in the Z vector. For each such occurrence the order of the related secular equation problem is reduced by one.
Parameters
outKThe number of non-deflated eigenvalues, and the order of the related secular equation.
innThe dimension of the symmetric tridiagonal matrix. N >= 0.
inqsizThe dimension of the unitary matrix used to reduce the dense or band matrix to tridiagonal form. QSIZ >= N if ICOMPQ = 1.
inoutQComplex array, dimension (LDQ, N). On entry, Q contains the eigenvectors of the partially solved system which has been previously updated in matrix multiplies with other partially solved eigensystems. On exit, Q contains the trailing (N-K) updated eigenvectors (those which were deflated) in its last N-K columns.
inldqThe leading dimension of the array Q. LDQ >= max(1,N).
inoutDDouble precision array, dimension (N). On entry, the eigenvalues of the two submatrices to be combined. On exit, the trailing (N-K) updated eigenvalues (those which were deflated) sorted into increasing order.
inoutrhoOn entry, the off-diagonal element associated with the rank-1 cut which originally split the two submatrices which are now being recombined. On exit, rho has been modified to the value required by DLAED3.
incutpntThe location of the last eigenvalue in the leading sub-matrix. min(1,N) <= CUTPNT <= N.
inoutZDouble precision array, dimension (N). On entry, Z contains the updating vector (the last row of the first sub-eigenvector matrix and the first row of the second sub-eigenvector matrix). On exit, the contents of Z are destroyed by the updating process.
outdlambdaDouble precision array, dimension (N). A copy of the first K eigenvalues which will be used by DLAED3 to form the secular equation.
outQ2Complex array, dimension (LDQ2, N). A copy of the first K eigenvectors which will be used by DLAED7 in a matrix multiply (DGEMM) to update the new eigenvectors.
inldq2The leading dimension of the array Q2. LDQ2 >= max(1,N).
outWDouble precision array, dimension (N). The first k values of the final deflation-altered z-vector and will be passed to DLAED3.
outindxpInteger array, dimension (N). The permutation used to place deflated values of D at the end of the array. INDXP(0:K-1) points to the nondeflated D-values and INDXP(K:N-1) points to the deflated eigenvalues.
outindxInteger array, dimension (N). The permutation used to sort the contents of D into ascending order.
inindxqInteger array, dimension (N). The permutation which separately sorts the two sub-problems in D into ascending order. Note that elements in the second half of this permutation must first have CUTPNT added to their values in order to be accurate.
outpermInteger array, dimension (N). The permutations (from deflation and sorting) to be applied to each eigenblock.
outgivptrThe number of Givens rotations which took place in this subproblem.
outgivcolInteger array, dimension (2 * N). Each pair of numbers indicates a pair of columns to take place in a Givens rotation. Stored column-major with leading dimension 2.
outgivnumDouble precision array, dimension (2 * N). Each number indicates the C and S values to be used in the corresponding Givens rotation. Stored column-major with leading dimension 2.
outinfo= 0: successful exit.
< 0: if info = -i, the i-th argument had an illegal value.
void zlaed8(
INT* K,
const INT n,
const INT qsiz,
c128* Q,
const INT ldq,
f64* D,
f64* rho,
const INT cutpnt,
f64* Z,
f64* dlambda,
c128* Q2,
const INT ldq2,
f64* W,
INT* indxp,
INT* indx,
INT* indxq,
INT* perm,
INT* givptr,
INT* givcol,
f64* givnum,
INT* info
);