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#include "rb_lapack.h"
extern VOID slasda_(integer* icompq, integer* smlsiz, integer* n, integer* sqre, real* d, real* e, real* u, integer* ldu, real* vt, integer* k, real* difl, real* difr, real* z, real* poles, integer* givptr, integer* givcol, integer* ldgcol, integer* perm, real* givnum, real* c, real* s, real* work, integer* iwork, integer* info);
static VALUE
rblapack_slasda(int argc, VALUE *argv, VALUE self){
VALUE rblapack_icompq;
integer icompq;
VALUE rblapack_smlsiz;
integer smlsiz;
VALUE rblapack_sqre;
integer sqre;
VALUE rblapack_d;
real *d;
VALUE rblapack_e;
real *e;
VALUE rblapack_u;
real *u;
VALUE rblapack_vt;
real *vt;
VALUE rblapack_k;
integer *k;
VALUE rblapack_difl;
real *difl;
VALUE rblapack_difr;
real *difr;
VALUE rblapack_z;
real *z;
VALUE rblapack_poles;
real *poles;
VALUE rblapack_givptr;
integer *givptr;
VALUE rblapack_givcol;
integer *givcol;
VALUE rblapack_perm;
integer *perm;
VALUE rblapack_givnum;
real *givnum;
VALUE rblapack_c;
real *c;
VALUE rblapack_s;
real *s;
VALUE rblapack_info;
integer info;
VALUE rblapack_d_out__;
real *d_out__;
real *work;
integer *iwork;
integer n;
integer ldu;
integer nlvl;
integer ldgcol;
integer m;
VALUE rblapack_options;
if (argc > 0 && TYPE(argv[argc-1]) == T_HASH) {
argc--;
rblapack_options = argv[argc];
if (rb_hash_aref(rblapack_options, sHelp) == Qtrue) {
printf("%s\n", "USAGE:\n u, vt, k, difl, difr, z, poles, givptr, givcol, perm, givnum, c, s, info, d = NumRu::Lapack.slasda( icompq, smlsiz, sqre, d, e, [:usage => usage, :help => help])\n\n\nFORTRAN MANUAL\n SUBROUTINE SLASDA( ICOMPQ, SMLSIZ, N, SQRE, D, E, U, LDU, VT, K, DIFL, DIFR, Z, POLES, GIVPTR, GIVCOL, LDGCOL, PERM, GIVNUM, C, S, WORK, IWORK, INFO )\n\n* Purpose\n* =======\n*\n* Using a divide and conquer approach, SLASDA computes the singular\n* value decomposition (SVD) of a real upper bidiagonal N-by-M matrix\n* B with diagonal D and offdiagonal E, where M = N + SQRE. The\n* algorithm computes the singular values in the SVD B = U * S * VT.\n* The orthogonal matrices U and VT are optionally computed in\n* compact form.\n*\n* A related subroutine, SLASD0, computes the singular values and\n* the singular vectors in explicit form.\n*\n\n* Arguments\n* =========\n*\n* ICOMPQ (input) INTEGER\n* Specifies whether singular vectors are to be computed\n* in compact form, as follows\n* = 0: Compute singular values only.\n* = 1: Compute singular vectors of upper bidiagonal\n* matrix in compact form.\n*\n* SMLSIZ (input) INTEGER\n* The maximum size of the subproblems at the bottom of the\n* computation tree.\n*\n* N (input) INTEGER\n* The row dimension of the upper bidiagonal matrix. This is\n* also the dimension of the main diagonal array D.\n*\n* SQRE (input) INTEGER\n* Specifies the column dimension of the bidiagonal matrix.\n* = 0: The bidiagonal matrix has column dimension M = N;\n* = 1: The bidiagonal matrix has column dimension M = N + 1.\n*\n* D (input/output) REAL array, dimension ( N )\n* On entry D contains the main diagonal of the bidiagonal\n* matrix. On exit D, if INFO = 0, contains its singular values.\n*\n* E (input) REAL array, dimension ( M-1 )\n* Contains the subdiagonal entries of the bidiagonal matrix.\n* On exit, E has been destroyed.\n*\n* U (output) REAL array,\n* dimension ( LDU, SMLSIZ ) if ICOMPQ = 1, and not referenced\n* if ICOMPQ = 0. If ICOMPQ = 1, on exit, U contains the left\n* singular vector matrices of all subproblems at the bottom\n* level.\n*\n* LDU (input) INTEGER, LDU = > N.\n* The leading dimension of arrays U, VT, DIFL, DIFR, POLES,\n* GIVNUM, and Z.\n*\n* VT (output) REAL array,\n* dimension ( LDU, SMLSIZ+1 ) if ICOMPQ = 1, and not referenced\n* if ICOMPQ = 0. If ICOMPQ = 1, on exit, VT' contains the right\n* singular vector matrices of all subproblems at the bottom\n* level.\n*\n* K (output) INTEGER array, dimension ( N ) \n* if ICOMPQ = 1 and dimension 1 if ICOMPQ = 0.\n* If ICOMPQ = 1, on exit, K(I) is the dimension of the I-th\n* secular equation on the computation tree.\n*\n* DIFL (output) REAL array, dimension ( LDU, NLVL ),\n* where NLVL = floor(log_2 (N/SMLSIZ))).\n*\n* DIFR (output) REAL array,\n* dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1 and\n* dimension ( N ) if ICOMPQ = 0.\n* If ICOMPQ = 1, on exit, DIFL(1:N, I) and DIFR(1:N, 2 * I - 1)\n* record distances between singular values on the I-th\n* level and singular values on the (I -1)-th level, and\n* DIFR(1:N, 2 * I ) contains the normalizing factors for\n* the right singular vector matrix. See SLASD8 for details.\n*\n* Z (output) REAL array,\n* dimension ( LDU, NLVL ) if ICOMPQ = 1 and\n* dimension ( N ) if ICOMPQ = 0.\n* The first K elements of Z(1, I) contain the components of\n* the deflation-adjusted updating row vector for subproblems\n* on the I-th level.\n*\n* POLES (output) REAL array,\n* dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1, and not referenced\n* if ICOMPQ = 0. If ICOMPQ = 1, on exit, POLES(1, 2*I - 1) and\n* POLES(1, 2*I) contain the new and old singular values\n* involved in the secular equations on the I-th level.\n*\n* GIVPTR (output) INTEGER array,\n* dimension ( N ) if ICOMPQ = 1, and not referenced if\n* ICOMPQ = 0. If ICOMPQ = 1, on exit, GIVPTR( I ) records\n* the number of Givens rotations performed on the I-th\n* problem on the computation tree.\n*\n* GIVCOL (output) INTEGER array,\n* dimension ( LDGCOL, 2 * NLVL ) if ICOMPQ = 1, and not\n* referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I,\n* GIVCOL(1, 2 *I - 1) and GIVCOL(1, 2 *I) record the locations\n* of Givens rotations performed on the I-th level on the\n* computation tree.\n*\n* LDGCOL (input) INTEGER, LDGCOL = > N.\n* The leading dimension of arrays GIVCOL and PERM.\n*\n* PERM (output) INTEGER array, dimension ( LDGCOL, NLVL ) \n* if ICOMPQ = 1, and not referenced\n* if ICOMPQ = 0. If ICOMPQ = 1, on exit, PERM(1, I) records\n* permutations done on the I-th level of the computation tree.\n*\n* GIVNUM (output) REAL array,\n* dimension ( LDU, 2 * NLVL ) if ICOMPQ = 1, and not\n* referenced if ICOMPQ = 0. If ICOMPQ = 1, on exit, for each I,\n* GIVNUM(1, 2 *I - 1) and GIVNUM(1, 2 *I) record the C- and S-\n* values of Givens rotations performed on the I-th level on\n* the computation tree.\n*\n* C (output) REAL array,\n* dimension ( N ) if ICOMPQ = 1, and dimension 1 if ICOMPQ = 0.\n* If ICOMPQ = 1 and the I-th subproblem is not square, on exit,\n* C( I ) contains the C-value of a Givens rotation related to\n* the right null space of the I-th subproblem.\n*\n* S (output) REAL array, dimension ( N ) if\n* ICOMPQ = 1, and dimension 1 if ICOMPQ = 0. If ICOMPQ = 1\n* and the I-th subproblem is not square, on exit, S( I )\n* contains the S-value of a Givens rotation related to\n* the right null space of the I-th subproblem.\n*\n* WORK (workspace) REAL array, dimension\n* (6 * N + (SMLSIZ + 1)*(SMLSIZ + 1)).\n*\n* IWORK (workspace) INTEGER array, dimension (7*N).\n*\n* INFO (output) INTEGER\n* = 0: successful exit.\n* < 0: if INFO = -i, the i-th argument had an illegal value.\n* > 0: if INFO = 1, a singular value did not converge\n*\n\n* Further Details\n* ===============\n*\n* Based on contributions by\n* Ming Gu and Huan Ren, Computer Science Division, University of\n* California at Berkeley, USA\n*\n* =====================================================================\n*\n\n");
return Qnil;
}
if (rb_hash_aref(rblapack_options, sUsage) == Qtrue) {
printf("%s\n", "USAGE:\n u, vt, k, difl, difr, z, poles, givptr, givcol, perm, givnum, c, s, info, d = NumRu::Lapack.slasda( icompq, smlsiz, sqre, d, e, [:usage => usage, :help => help])\n");
return Qnil;
}
} else
rblapack_options = Qnil;
if (argc != 5 && argc != 5)
rb_raise(rb_eArgError,"wrong number of arguments (%d for 5)", argc);
rblapack_icompq = argv[0];
rblapack_smlsiz = argv[1];
rblapack_sqre = argv[2];
rblapack_d = argv[3];
rblapack_e = argv[4];
if (argc == 5) {
} else if (rblapack_options != Qnil) {
} else {
}
icompq = NUM2INT(rblapack_icompq);
sqre = NUM2INT(rblapack_sqre);
smlsiz = NUM2INT(rblapack_smlsiz);
if (!NA_IsNArray(rblapack_d))
rb_raise(rb_eArgError, "d (4th argument) must be NArray");
if (NA_RANK(rblapack_d) != 1)
rb_raise(rb_eArgError, "rank of d (4th argument) must be %d", 1);
n = NA_SHAPE0(rblapack_d);
if (NA_TYPE(rblapack_d) != NA_SFLOAT)
rblapack_d = na_change_type(rblapack_d, NA_SFLOAT);
d = NA_PTR_TYPE(rblapack_d, real*);
m = sqre == 0 ? n : sqre == 1 ? n+1 : 0;
nlvl = floor(1.0/log(2.0)*log((double)n/smlsiz));
if (!NA_IsNArray(rblapack_e))
rb_raise(rb_eArgError, "e (5th argument) must be NArray");
if (NA_RANK(rblapack_e) != 1)
rb_raise(rb_eArgError, "rank of e (5th argument) must be %d", 1);
if (NA_SHAPE0(rblapack_e) != (m-1))
rb_raise(rb_eRuntimeError, "shape 0 of e must be %d", m-1);
if (NA_TYPE(rblapack_e) != NA_SFLOAT)
rblapack_e = na_change_type(rblapack_e, NA_SFLOAT);
e = NA_PTR_TYPE(rblapack_e, real*);
ldgcol = n;
ldu = n;
{
na_shape_t shape[2];
shape[0] = ldu;
shape[1] = MAX(1,smlsiz);
rblapack_u = na_make_object(NA_SFLOAT, 2, shape, cNArray);
}
u = NA_PTR_TYPE(rblapack_u, real*);
{
na_shape_t shape[2];
shape[0] = ldu;
shape[1] = smlsiz+1;
rblapack_vt = na_make_object(NA_SFLOAT, 2, shape, cNArray);
}
vt = NA_PTR_TYPE(rblapack_vt, real*);
{
na_shape_t shape[1];
shape[0] = icompq == 1 ? n : icompq == 0 ? 1 : 0;
rblapack_k = na_make_object(NA_LINT, 1, shape, cNArray);
}
k = NA_PTR_TYPE(rblapack_k, integer*);
{
na_shape_t shape[2];
shape[0] = ldu;
shape[1] = nlvl;
rblapack_difl = na_make_object(NA_SFLOAT, 2, shape, cNArray);
}
difl = NA_PTR_TYPE(rblapack_difl, real*);
{
na_shape_t shape[2];
shape[0] = icompq == 1 ? ldu : icompq == 0 ? n : 0;
shape[1] = icompq == 1 ? 2 * nlvl : 0;
rblapack_difr = na_make_object(NA_SFLOAT, 2, shape, cNArray);
}
difr = NA_PTR_TYPE(rblapack_difr, real*);
{
na_shape_t shape[2];
shape[0] = icompq == 1 ? ldu : icompq == 0 ? n : 0;
shape[1] = icompq == 1 ? nlvl : 0;
rblapack_z = na_make_object(NA_SFLOAT, 2, shape, cNArray);
}
z = NA_PTR_TYPE(rblapack_z, real*);
{
na_shape_t shape[2];
shape[0] = ldu;
shape[1] = 2 * nlvl;
rblapack_poles = na_make_object(NA_SFLOAT, 2, shape, cNArray);
}
poles = NA_PTR_TYPE(rblapack_poles, real*);
{
na_shape_t shape[1];
shape[0] = n;
rblapack_givptr = na_make_object(NA_LINT, 1, shape, cNArray);
}
givptr = NA_PTR_TYPE(rblapack_givptr, integer*);
{
na_shape_t shape[2];
shape[0] = ldgcol;
shape[1] = 2 * nlvl;
rblapack_givcol = na_make_object(NA_LINT, 2, shape, cNArray);
}
givcol = NA_PTR_TYPE(rblapack_givcol, integer*);
{
na_shape_t shape[2];
shape[0] = ldgcol;
shape[1] = nlvl;
rblapack_perm = na_make_object(NA_LINT, 2, shape, cNArray);
}
perm = NA_PTR_TYPE(rblapack_perm, integer*);
{
na_shape_t shape[2];
shape[0] = ldu;
shape[1] = 2 * nlvl;
rblapack_givnum = na_make_object(NA_SFLOAT, 2, shape, cNArray);
}
givnum = NA_PTR_TYPE(rblapack_givnum, real*);
{
na_shape_t shape[1];
shape[0] = icompq == 1 ? n : icompq == 0 ? 1 : 0;
rblapack_c = na_make_object(NA_SFLOAT, 1, shape, cNArray);
}
c = NA_PTR_TYPE(rblapack_c, real*);
{
na_shape_t shape[1];
shape[0] = icompq==1 ? n : icompq==0 ? 1 : 0;
rblapack_s = na_make_object(NA_SFLOAT, 1, shape, cNArray);
}
s = NA_PTR_TYPE(rblapack_s, real*);
{
na_shape_t shape[1];
shape[0] = n;
rblapack_d_out__ = na_make_object(NA_SFLOAT, 1, shape, cNArray);
}
d_out__ = NA_PTR_TYPE(rblapack_d_out__, real*);
MEMCPY(d_out__, d, real, NA_TOTAL(rblapack_d));
rblapack_d = rblapack_d_out__;
d = d_out__;
work = ALLOC_N(real, (6 * n + (smlsiz + 1)*(smlsiz + 1)));
iwork = ALLOC_N(integer, (7*n));
slasda_(&icompq, &smlsiz, &n, &sqre, d, e, u, &ldu, vt, k, difl, difr, z, poles, givptr, givcol, &ldgcol, perm, givnum, c, s, work, iwork, &info);
free(work);
free(iwork);
rblapack_info = INT2NUM(info);
return rb_ary_new3(15, rblapack_u, rblapack_vt, rblapack_k, rblapack_difl, rblapack_difr, rblapack_z, rblapack_poles, rblapack_givptr, rblapack_givcol, rblapack_perm, rblapack_givnum, rblapack_c, rblapack_s, rblapack_info, rblapack_d);
}
void
init_lapack_slasda(VALUE mLapack, VALUE sH, VALUE sU, VALUE zero){
sHelp = sH;
sUsage = sU;
rblapack_ZERO = zero;
rb_define_module_function(mLapack, "slasda", rblapack_slasda, -1);
}
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