/* Subroutine */ int dlaed7_(integer *icompq, integer *n, integer *qsiz,
integer *tlvls, integer *curlvl, integer *curpbm, doublereal *d__,
doublereal *q, integer *ldq, integer *indxq, doublereal *rho, integer
*cutpnt, doublereal *qstore, integer *qptr, integer *prmptr, integer *
perm, integer *givptr, integer *givcol, doublereal *givnum,
doublereal *work, integer *iwork, integer *info)
{
/* -- LAPACK routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
September 30, 1994
Purpose
=======
DLAED7 computes the updated eigensystem of a diagonal
matrix after modification by a rank-one symmetric matrix. This
routine is used only for the eigenproblem which requires all
eigenvalues and optionally eigenvectors of a dense symmetric matrix
that has been reduced to tridiagonal form. DLAED1 handles
the case in which all eigenvalues and eigenvectors of a symmetric
tridiagonal matrix are desired.
T = Q(in) ( D(in) + RHO * Z*Z' ) Q'(in) = Q(out) * D(out) * Q'(out)
where Z = Q'u, u is a vector of length N with ones in the
CUTPNT and CUTPNT + 1 th elements and zeros elsewhere.
The eigenvectors of the original matrix are stored in Q, and the
eigenvalues are in D. The algorithm consists of three stages:
The first stage consists of deflating the size of the problem
when there are multiple eigenvalues or if there is a zero in
the Z vector. For each such occurence the dimension of the
secular equation problem is reduced by one. This stage is
performed by the routine DLAED8.
The second stage consists of calculating the updated
eigenvalues. This is done by finding the roots of the secular
equation via the routine DLAED4 (as called by DLAED9).
This routine also calculates the eigenvectors of the current
problem.
The final stage consists of computing the updated eigenvectors
directly using the updated eigenvalues. The eigenvectors for
the current problem are multiplied with the eigenvectors from
the overall problem.
Arguments
=========
ICOMPQ (input) INTEGER
= 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.
N (input) INTEGER
The dimension of the symmetric tridiagonal matrix. N >= 0.
QSIZ (input) INTEGER
The dimension of the orthogonal matrix used to reduce
the full matrix to tridiagonal form. QSIZ >= N if ICOMPQ = 1.
TLVLS (input) INTEGER
The total number of merging levels in the overall divide and
conquer tree.
CURLVL (input) INTEGER
The current level in the overall merge routine,
0 <= CURLVL <= TLVLS.
CURPBM (input) INTEGER
The current problem in the current level in the overall
merge routine (counting from upper left to lower right).
D (input/output) DOUBLE PRECISION array, dimension (N)
On entry, the eigenvalues of the rank-1-perturbed matrix.
On exit, the eigenvalues of the repaired matrix.
Q (input/output) DOUBLE PRECISION array, dimension (LDQ, N)
On entry, the eigenvectors of the rank-1-perturbed matrix.
On exit, the eigenvectors of the repaired tridiagonal matrix.
LDQ (input) INTEGER
The leading dimension of the array Q. LDQ >= max(1,N).
INDXQ (output) INTEGER array, dimension (N)
The permutation which will reintegrate the subproblem just
solved back into sorted order, i.e., D( INDXQ( I = 1, N ) )
will be in ascending order.
RHO (input) DOUBLE PRECISION
The subdiagonal element used to create the rank-1
modification.
CUTPNT (input) INTEGER
Contains the location of the last eigenvalue in the leading
sub-matrix. min(1,N) <= CUTPNT <= N.
QSTORE (input/output) DOUBLE PRECISION array, dimension (N**2+1)
Stores eigenvectors of submatrices encountered during
divide and conquer, packed together. QPTR points to
beginning of the submatrices.
QPTR (input/output) INTEGER array, dimension (N+2)
List of indices pointing to beginning of submatrices stored
in QSTORE. The submatrices are numbered starting at the
bottom left of the divide and conquer tree, from left to
right and bottom to top.
PRMPTR (input) INTEGER array, dimension (N lg N)
Contains a list of pointers which indicate where in PERM a
level's permutation is stored. PRMPTR(i+1) - PRMPTR(i)
indicates the size of the permutation and also the size of
the full, non-deflated problem.
PERM (input) INTEGER array, dimension (N lg N)
Contains the permutations (from deflation and sorting) to be
applied to each eigenblock.
GIVPTR (input) INTEGER array, dimension (N lg N)
Contains a list of pointers which indicate where in GIVCOL a
level's Givens rotations are stored. GIVPTR(i+1) - GIVPTR(i)
indicates the number of Givens rotations.
GIVCOL (input) INTEGER array, dimension (2, N lg N)
Each pair of numbers indicates a pair of columns to take place
in a Givens rotation.
GIVNUM (input) DOUBLE PRECISION array, dimension (2, N lg N)
Each number indicates the S value to be used in the
corresponding Givens rotation.
WORK (workspace) DOUBLE PRECISION array, dimension (3*N+QSIZ*N)
IWORK (workspace) INTEGER array, dimension (4*N)
INFO (output) INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an illegal value.
> 0: if INFO = 1, an eigenvalue did not converge
Further Details
===============
Based on contributions by
Jeff Rutter, Computer Science Division, University of California
at Berkeley, USA
=====================================================================
Test the input parameters.
Parameter adjustments */
/* Table of constant values */
static integer c__2 = 2;
static integer c__1 = 1;
static doublereal c_b10 = 1.;
static doublereal c_b11 = 0.;
static integer c_n1 = -1;
/* System generated locals */
integer q_dim1, q_offset, i__1, i__2;
/* Builtin functions */
integer pow_ii(integer *, integer *);
/* Local variables */
static integer indx, curr, i__, k;
extern /* Subroutine */ int dgemm_(char *, char *, integer *, integer *,
integer *, doublereal *, doublereal *, integer *, doublereal *,
integer *, doublereal *, doublereal *, integer *);
static integer indxc, indxp, n1, n2;
extern /* Subroutine */ int dlaed8_(integer *, integer *, integer *,
integer *, doublereal *, doublereal *, integer *, integer *,
doublereal *, integer *, doublereal *, doublereal *, doublereal *,
integer *, doublereal *, integer *, integer *, integer *,
doublereal *, integer *, integer *, integer *), dlaed9_(integer *,
integer *, integer *, integer *, doublereal *, doublereal *,
integer *, doublereal *, doublereal *, doublereal *, doublereal *,
integer *, integer *), dlaeda_(integer *, integer *, integer *,
integer *, integer *, integer *, integer *, integer *, doublereal
*, doublereal *, integer *, doublereal *, doublereal *, integer *)
;
static integer idlmda, is, iw, iz;
extern /* Subroutine */ int dlamrg_(integer *, integer *, doublereal *,
integer *, integer *, integer *), xerbla_(char *, integer *);
static integer coltyp, iq2, ptr, ldq2;
#define givcol_ref(a_1,a_2) givcol[(a_2)*2 + a_1]
#define givnum_ref(a_1,a_2) givnum[(a_2)*2 + a_1]
--d__;
q_dim1 = *ldq;
q_offset = 1 + q_dim1 * 1;
q -= q_offset;
--indxq;
--qstore;
--qptr;
--prmptr;
--perm;
--givptr;
givcol -= 3;
givnum -= 3;
--work;
--iwork;
/* Function Body */
*info = 0;
if (*icompq < 0 || *icompq > 1) {
*info = -1;
} else if (*n < 0) {
*info = -2;
} else if (*icompq == 1 && *qsiz < *n) {
*info = -4;
} else if (*ldq < max(1,*n)) {
*info = -9;
} else if (min(1,*n) > *cutpnt || *n < *cutpnt) {
*info = -12;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("DLAED7", &i__1);
return 0;
}
/* Quick return if possible */
if (*n == 0) {
return 0;
}
/* The following values are for bookkeeping purposes only. They are
integer pointers which indicate the portion of the workspace
used by a particular array in DLAED8 and DLAED9. */
if (*icompq == 1) {
ldq2 = *qsiz;
} else {
ldq2 = *n;
}
iz = 1;
idlmda = iz + *n;
iw = idlmda + *n;
iq2 = iw + *n;
is = iq2 + *n * ldq2;
indx = 1;
indxc = indx + *n;
coltyp = indxc + *n;
indxp = coltyp + *n;
/* Form the z-vector which consists of the last row of Q_1 and the
first row of Q_2. */
ptr = pow_ii(&c__2, tlvls) + 1;
i__1 = *curlvl - 1;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = *tlvls - i__;
ptr += pow_ii(&c__2, &i__2);
/* L10: */
}
curr = ptr + *curpbm;
dlaeda_(n, tlvls, curlvl, curpbm, &prmptr[1], &perm[1], &givptr[1], &
givcol[3], &givnum[3], &qstore[1], &qptr[1], &work[iz], &work[iz
+ *n], info);
/* When solving the final problem, we no longer need the stored data,
so we will overwrite the data from this level onto the previously
used storage space. */
if (*curlvl == *tlvls) {
qptr[curr] = 1;
prmptr[curr] = 1;
givptr[curr] = 1;
}
/* Sort and Deflate eigenvalues. */
dlaed8_(icompq, &k, n, qsiz, &d__[1], &q[q_offset], ldq, &indxq[1], rho,
cutpnt, &work[iz], &work[idlmda], &work[iq2], &ldq2, &work[iw], &
perm[prmptr[curr]], &givptr[curr + 1], &givcol_ref(1, givptr[curr]
), &givnum_ref(1, givptr[curr]), &iwork[indxp], &iwork[indx],
info);
prmptr[curr + 1] = prmptr[curr] + *n;
givptr[curr + 1] += givptr[curr];
/* Solve Secular Equation. */
if (k != 0) {
dlaed9_(&k, &c__1, &k, n, &d__[1], &work[is], &k, rho, &work[idlmda],
&work[iw], &qstore[qptr[curr]], &k, info);
if (*info != 0) {
goto L30;
}
if (*icompq == 1) {
dgemm_("N", "N", qsiz, &k, &k, &c_b10, &work[iq2], &ldq2, &qstore[
qptr[curr]], &k, &c_b11, &q[q_offset], ldq);
}
/* Computing 2nd power */
i__1 = k;
qptr[curr + 1] = qptr[curr] + i__1 * i__1;
/* Prepare the INDXQ sorting permutation. */
n1 = k;
n2 = *n - k;
dlamrg_(&n1, &n2, &d__[1], &c__1, &c_n1, &indxq[1]);
} else {
qptr[curr + 1] = qptr[curr];
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
indxq[i__] = i__;
/* L20: */
}
}
L30:
return 0;
/* End of DLAED7 */
} /* dlaed7_ */
/* Subroutine */ int zlaed7_(integer *n, integer *cutpnt, integer *qsiz,
integer *tlvls, integer *curlvl, integer *curpbm, doublereal *d__,
doublecomplex *q, integer *ldq, doublereal *rho, integer *indxq,
doublereal *qstore, integer *qptr, integer *prmptr, integer *perm,
integer *givptr, integer *givcol, doublereal *givnum, doublecomplex *
work, doublereal *rwork, integer *iwork, integer *info)
{
/* System generated locals */
integer q_dim1, q_offset, i__1, i__2;
/* Builtin functions */
integer pow_ii(integer *, integer *);
/* Local variables */
integer i__, k, n1, n2, iq, iw, iz, ptr, indx, curr, indxc, indxp;
extern /* Subroutine */ int dlaed9_(integer *, integer *, integer *,
integer *, doublereal *, doublereal *, integer *, doublereal *,
doublereal *, doublereal *, doublereal *, integer *, integer *),
zlaed8_(integer *, integer *, integer *, doublecomplex *, integer
*, doublereal *, doublereal *, integer *, doublereal *,
doublereal *, doublecomplex *, integer *, doublereal *, integer *,
integer *, integer *, integer *, integer *, integer *,
doublereal *, integer *), dlaeda_(integer *, integer *, integer *,
integer *, integer *, integer *, integer *, integer *,
doublereal *, doublereal *, integer *, doublereal *, doublereal *,
integer *);
integer idlmda;
extern /* Subroutine */ int dlamrg_(integer *, integer *, doublereal *,
integer *, integer *, integer *), xerbla_(char *, integer *), zlacrm_(integer *, integer *, doublecomplex *, integer *,
doublereal *, integer *, doublecomplex *, integer *, doublereal *
);
integer coltyp;
/* -- LAPACK routine (version 3.2) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* ZLAED7 computes the updated eigensystem of a diagonal */
/* matrix after modification by a rank-one symmetric matrix. This */
/* routine is used only for the eigenproblem which requires all */
/* eigenvalues and optionally eigenvectors of a dense or banded */
/* Hermitian matrix that has been reduced to tridiagonal form. */
/* T = Q(in) ( D(in) + RHO * Z*Z' ) Q'(in) = Q(out) * D(out) * Q'(out) */
/* where Z = Q'u, u is a vector of length N with ones in the */
/* CUTPNT and CUTPNT + 1 th elements and zeros elsewhere. */
/* The eigenvectors of the original matrix are stored in Q, and the */
/* eigenvalues are in D. The algorithm consists of three stages: */
/* The first stage consists of deflating the size of the problem */
/* when there are multiple eigenvalues or if there is a zero in */
/* the Z vector. For each such occurence the dimension of the */
/* secular equation problem is reduced by one. This stage is */
/* performed by the routine DLAED2. */
/* The second stage consists of calculating the updated */
/* eigenvalues. This is done by finding the roots of the secular */
/* equation via the routine DLAED4 (as called by SLAED3). */
/* This routine also calculates the eigenvectors of the current */
/* problem. */
/* The final stage consists of computing the updated eigenvectors */
/* directly using the updated eigenvalues. The eigenvectors for */
/* the current problem are multiplied with the eigenvectors from */
/* the overall problem. */
/* Arguments */
/* ========= */
/* N (input) INTEGER */
/* The dimension of the symmetric tridiagonal matrix. N >= 0. */
/* CUTPNT (input) INTEGER */
/* Contains the location of the last eigenvalue in the leading */
/* sub-matrix. min(1,N) <= CUTPNT <= N. */
/* QSIZ (input) INTEGER */
/* The dimension of the unitary matrix used to reduce */
/* the full matrix to tridiagonal form. QSIZ >= N. */
/* TLVLS (input) INTEGER */
/* The total number of merging levels in the overall divide and */
/* conquer tree. */
/* CURLVL (input) INTEGER */
/* The current level in the overall merge routine, */
/* 0 <= curlvl <= tlvls. */
/* CURPBM (input) INTEGER */
/* The current problem in the current level in the overall */
/* merge routine (counting from upper left to lower right). */
/* D (input/output) DOUBLE PRECISION array, dimension (N) */
/* On entry, the eigenvalues of the rank-1-perturbed matrix. */
/* On exit, the eigenvalues of the repaired matrix. */
/* Q (input/output) COMPLEX*16 array, dimension (LDQ,N) */
/* On entry, the eigenvectors of the rank-1-perturbed matrix. */
/* On exit, the eigenvectors of the repaired tridiagonal matrix. */
/* LDQ (input) INTEGER */
/* The leading dimension of the array Q. LDQ >= max(1,N). */
/* RHO (input) DOUBLE PRECISION */
/* Contains the subdiagonal element used to create the rank-1 */
/* modification. */
/* INDXQ (output) INTEGER array, dimension (N) */
/* This contains the permutation which will reintegrate the */
/* subproblem just solved back into sorted order, */
/* ie. D( INDXQ( I = 1, N ) ) will be in ascending order. */
/* IWORK (workspace) INTEGER array, dimension (4*N) */
/* RWORK (workspace) DOUBLE PRECISION array, */
/* dimension (3*N+2*QSIZ*N) */
/* WORK (workspace) COMPLEX*16 array, dimension (QSIZ*N) */
/* QSTORE (input/output) DOUBLE PRECISION array, dimension (N**2+1) */
/* Stores eigenvectors of submatrices encountered during */
/* divide and conquer, packed together. QPTR points to */
/* beginning of the submatrices. */
/* QPTR (input/output) INTEGER array, dimension (N+2) */
/* List of indices pointing to beginning of submatrices stored */
/* in QSTORE. The submatrices are numbered starting at the */
/* bottom left of the divide and conquer tree, from left to */
/* right and bottom to top. */
/* PRMPTR (input) INTEGER array, dimension (N lg N) */
/* Contains a list of pointers which indicate where in PERM a */
/* level's permutation is stored. PRMPTR(i+1) - PRMPTR(i) */
/* indicates the size of the permutation and also the size of */
/* the full, non-deflated problem. */
/* PERM (input) INTEGER array, dimension (N lg N) */
/* Contains the permutations (from deflation and sorting) to be */
/* applied to each eigenblock. */
/* GIVPTR (input) INTEGER array, dimension (N lg N) */
/* Contains a list of pointers which indicate where in GIVCOL a */
/* level's Givens rotations are stored. GIVPTR(i+1) - GIVPTR(i) */
/* indicates the number of Givens rotations. */
/* GIVCOL (input) INTEGER array, dimension (2, N lg N) */
/* Each pair of numbers indicates a pair of columns to take place */
/* in a Givens rotation. */
/* GIVNUM (input) DOUBLE PRECISION array, dimension (2, N lg N) */
/* Each number indicates the S value to be used in the */
/* corresponding Givens rotation. */
/* INFO (output) INTEGER */
/* = 0: successful exit. */
/* < 0: if INFO = -i, the i-th argument had an illegal value. */
/* > 0: if INFO = 1, an eigenvalue did not converge */
/* ===================================================================== */
/* .. Local Scalars .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Test the input parameters. */
/* Parameter adjustments */
--d__;
q_dim1 = *ldq;
q_offset = 1 + q_dim1;
q -= q_offset;
--indxq;
--qstore;
--qptr;
--prmptr;
--perm;
--givptr;
givcol -= 3;
givnum -= 3;
--work;
--rwork;
--iwork;
/* Function Body */
*info = 0;
/* IF( ICOMPQ.LT.0 .OR. ICOMPQ.GT.1 ) THEN */
/* INFO = -1 */
/* ELSE IF( N.LT.0 ) THEN */
if (*n < 0) {
*info = -1;
} else if (min(1,*n) > *cutpnt || *n < *cutpnt) {
*info = -2;
} else if (*qsiz < *n) {
*info = -3;
} else if (*ldq < max(1,*n)) {
*info = -9;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZLAED7", &i__1);
return 0;
}
/* Quick return if possible */
if (*n == 0) {
return 0;
}
/* The following values are for bookkeeping purposes only. They are */
/* integer pointers which indicate the portion of the workspace */
/* used by a particular array in DLAED2 and SLAED3. */
iz = 1;
idlmda = iz + *n;
iw = idlmda + *n;
iq = iw + *n;
indx = 1;
indxc = indx + *n;
coltyp = indxc + *n;
indxp = coltyp + *n;
/* Form the z-vector which consists of the last row of Q_1 and the */
/* first row of Q_2. */
ptr = pow_ii(&c__2, tlvls) + 1;
i__1 = *curlvl - 1;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = *tlvls - i__;
ptr += pow_ii(&c__2, &i__2);
/* L10: */
}
curr = ptr + *curpbm;
dlaeda_(n, tlvls, curlvl, curpbm, &prmptr[1], &perm[1], &givptr[1], &
givcol[3], &givnum[3], &qstore[1], &qptr[1], &rwork[iz], &rwork[
iz + *n], info);
/* When solving the final problem, we no longer need the stored data, */
/* so we will overwrite the data from this level onto the previously */
/* used storage space. */
if (*curlvl == *tlvls) {
qptr[curr] = 1;
prmptr[curr] = 1;
givptr[curr] = 1;
}
/* Sort and Deflate eigenvalues. */
zlaed8_(&k, n, qsiz, &q[q_offset], ldq, &d__[1], rho, cutpnt, &rwork[iz],
&rwork[idlmda], &work[1], qsiz, &rwork[iw], &iwork[indxp], &iwork[
indx], &indxq[1], &perm[prmptr[curr]], &givptr[curr + 1], &givcol[
(givptr[curr] << 1) + 1], &givnum[(givptr[curr] << 1) + 1], info);
prmptr[curr + 1] = prmptr[curr] + *n;
givptr[curr + 1] += givptr[curr];
/* Solve Secular Equation. */
if (k != 0) {
dlaed9_(&k, &c__1, &k, n, &d__[1], &rwork[iq], &k, rho, &rwork[idlmda]
, &rwork[iw], &qstore[qptr[curr]], &k, info);
zlacrm_(qsiz, &k, &work[1], qsiz, &qstore[qptr[curr]], &k, &q[
q_offset], ldq, &rwork[iq]);
/* Computing 2nd power */
i__1 = k;
qptr[curr + 1] = qptr[curr] + i__1 * i__1;
if (*info != 0) {
return 0;
}
/* Prepare the INDXQ sorting premutation. */
n1 = k;
n2 = *n - k;
dlamrg_(&n1, &n2, &d__[1], &c__1, &c_n1, &indxq[1]);
} else {
qptr[curr + 1] = qptr[curr];
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
indxq[i__] = i__;
/* L20: */
}
}
return 0;
/* End of ZLAED7 */
} /* zlaed7_ */
