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#include "rb_lapack.h"
extern VOID dgghrd_(char* compq, char* compz, integer* n, integer* ilo, integer* ihi, doublereal* a, integer* lda, doublereal* b, integer* ldb, doublereal* q, integer* ldq, doublereal* z, integer* ldz, integer* info);
static VALUE
rblapack_dgghrd(int argc, VALUE *argv, VALUE self){
VALUE rblapack_compq;
char compq;
VALUE rblapack_compz;
char compz;
VALUE rblapack_ilo;
integer ilo;
VALUE rblapack_ihi;
integer ihi;
VALUE rblapack_a;
doublereal *a;
VALUE rblapack_b;
doublereal *b;
VALUE rblapack_q;
doublereal *q;
VALUE rblapack_z;
doublereal *z;
VALUE rblapack_info;
integer info;
VALUE rblapack_a_out__;
doublereal *a_out__;
VALUE rblapack_b_out__;
doublereal *b_out__;
VALUE rblapack_q_out__;
doublereal *q_out__;
VALUE rblapack_z_out__;
doublereal *z_out__;
integer lda;
integer n;
integer ldb;
integer ldq;
integer ldz;
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 info, a, b, q, z = NumRu::Lapack.dgghrd( compq, compz, ilo, ihi, a, b, q, z, [:usage => usage, :help => help])\n\n\nFORTRAN MANUAL\n SUBROUTINE DGGHRD( COMPQ, COMPZ, N, ILO, IHI, A, LDA, B, LDB, Q, LDQ, Z, LDZ, INFO )\n\n* Purpose\n* =======\n*\n* DGGHRD reduces a pair of real matrices (A,B) to generalized upper\n* Hessenberg form using orthogonal transformations, where A is a\n* general matrix and B is upper triangular. The form of the\n* generalized eigenvalue problem is\n* A*x = lambda*B*x,\n* and B is typically made upper triangular by computing its QR\n* factorization and moving the orthogonal matrix Q to the left side\n* of the equation.\n*\n* This subroutine simultaneously reduces A to a Hessenberg matrix H:\n* Q**T*A*Z = H\n* and transforms B to another upper triangular matrix T:\n* Q**T*B*Z = T\n* in order to reduce the problem to its standard form\n* H*y = lambda*T*y\n* where y = Z**T*x.\n*\n* The orthogonal matrices Q and Z are determined as products of Givens\n* rotations. They may either be formed explicitly, or they may be\n* postmultiplied into input matrices Q1 and Z1, so that\n*\n* Q1 * A * Z1**T = (Q1*Q) * H * (Z1*Z)**T\n*\n* Q1 * B * Z1**T = (Q1*Q) * T * (Z1*Z)**T\n*\n* If Q1 is the orthogonal matrix from the QR factorization of B in the\n* original equation A*x = lambda*B*x, then DGGHRD reduces the original\n* problem to generalized Hessenberg form.\n*\n\n* Arguments\n* =========\n*\n* COMPQ (input) CHARACTER*1\n* = 'N': do not compute Q;\n* = 'I': Q is initialized to the unit matrix, and the\n* orthogonal matrix Q is returned;\n* = 'V': Q must contain an orthogonal matrix Q1 on entry,\n* and the product Q1*Q is returned.\n*\n* COMPZ (input) CHARACTER*1\n* = 'N': do not compute Z;\n* = 'I': Z is initialized to the unit matrix, and the\n* orthogonal matrix Z is returned;\n* = 'V': Z must contain an orthogonal matrix Z1 on entry,\n* and the product Z1*Z is returned.\n*\n* N (input) INTEGER\n* The order of the matrices A and B. N >= 0.\n*\n* ILO (input) INTEGER\n* IHI (input) INTEGER\n* ILO and IHI mark the rows and columns of A which are to be\n* reduced. It is assumed that A is already upper triangular\n* in rows and columns 1:ILO-1 and IHI+1:N. ILO and IHI are\n* normally set by a previous call to SGGBAL; otherwise they\n* should be set to 1 and N respectively.\n* 1 <= ILO <= IHI <= N, if N > 0; ILO=1 and IHI=0, if N=0.\n*\n* A (input/output) DOUBLE PRECISION array, dimension (LDA, N)\n* On entry, the N-by-N general matrix to be reduced.\n* On exit, the upper triangle and the first subdiagonal of A\n* are overwritten with the upper Hessenberg matrix H, and the\n* rest is set to zero.\n*\n* LDA (input) INTEGER\n* The leading dimension of the array A. LDA >= max(1,N).\n*\n* B (input/output) DOUBLE PRECISION array, dimension (LDB, N)\n* On entry, the N-by-N upper triangular matrix B.\n* On exit, the upper triangular matrix T = Q**T B Z. The\n* elements below the diagonal are set to zero.\n*\n* LDB (input) INTEGER\n* The leading dimension of the array B. LDB >= max(1,N).\n*\n* Q (input/output) DOUBLE PRECISION array, dimension (LDQ, N)\n* On entry, if COMPQ = 'V', the orthogonal matrix Q1,\n* typically from the QR factorization of B.\n* On exit, if COMPQ='I', the orthogonal matrix Q, and if\n* COMPQ = 'V', the product Q1*Q.\n* Not referenced if COMPQ='N'.\n*\n* LDQ (input) INTEGER\n* The leading dimension of the array Q.\n* LDQ >= N if COMPQ='V' or 'I'; LDQ >= 1 otherwise.\n*\n* Z (input/output) DOUBLE PRECISION array, dimension (LDZ, N)\n* On entry, if COMPZ = 'V', the orthogonal matrix Z1.\n* On exit, if COMPZ='I', the orthogonal matrix Z, and if\n* COMPZ = 'V', the product Z1*Z.\n* Not referenced if COMPZ='N'.\n*\n* LDZ (input) INTEGER\n* The leading dimension of the array Z.\n* LDZ >= N if COMPZ='V' or 'I'; LDZ >= 1 otherwise.\n*\n* INFO (output) INTEGER\n* = 0: successful exit.\n* < 0: if INFO = -i, the i-th argument had an illegal value.\n*\n\n* Further Details\n* ===============\n*\n* This routine reduces A to Hessenberg and B to triangular form by\n* an unblocked reduction, as described in _Matrix_Computations_,\n* by Golub and Van Loan (Johns Hopkins Press.)\n*\n* =====================================================================\n*\n\n");
return Qnil;
}
if (rb_hash_aref(rblapack_options, sUsage) == Qtrue) {
printf("%s\n", "USAGE:\n info, a, b, q, z = NumRu::Lapack.dgghrd( compq, compz, ilo, ihi, a, b, q, z, [:usage => usage, :help => help])\n");
return Qnil;
}
} else
rblapack_options = Qnil;
if (argc != 8 && argc != 8)
rb_raise(rb_eArgError,"wrong number of arguments (%d for 8)", argc);
rblapack_compq = argv[0];
rblapack_compz = argv[1];
rblapack_ilo = argv[2];
rblapack_ihi = argv[3];
rblapack_a = argv[4];
rblapack_b = argv[5];
rblapack_q = argv[6];
rblapack_z = argv[7];
if (argc == 8) {
} else if (rblapack_options != Qnil) {
} else {
}
compq = StringValueCStr(rblapack_compq)[0];
ilo = NUM2INT(rblapack_ilo);
if (!NA_IsNArray(rblapack_a))
rb_raise(rb_eArgError, "a (5th argument) must be NArray");
if (NA_RANK(rblapack_a) != 2)
rb_raise(rb_eArgError, "rank of a (5th argument) must be %d", 2);
lda = NA_SHAPE0(rblapack_a);
n = NA_SHAPE1(rblapack_a);
if (NA_TYPE(rblapack_a) != NA_DFLOAT)
rblapack_a = na_change_type(rblapack_a, NA_DFLOAT);
a = NA_PTR_TYPE(rblapack_a, doublereal*);
if (!NA_IsNArray(rblapack_q))
rb_raise(rb_eArgError, "q (7th argument) must be NArray");
if (NA_RANK(rblapack_q) != 2)
rb_raise(rb_eArgError, "rank of q (7th argument) must be %d", 2);
ldq = NA_SHAPE0(rblapack_q);
if (NA_SHAPE1(rblapack_q) != n)
rb_raise(rb_eRuntimeError, "shape 1 of q must be the same as shape 1 of a");
if (NA_TYPE(rblapack_q) != NA_DFLOAT)
rblapack_q = na_change_type(rblapack_q, NA_DFLOAT);
q = NA_PTR_TYPE(rblapack_q, doublereal*);
compz = StringValueCStr(rblapack_compz)[0];
if (!NA_IsNArray(rblapack_b))
rb_raise(rb_eArgError, "b (6th argument) must be NArray");
if (NA_RANK(rblapack_b) != 2)
rb_raise(rb_eArgError, "rank of b (6th argument) must be %d", 2);
ldb = NA_SHAPE0(rblapack_b);
if (NA_SHAPE1(rblapack_b) != n)
rb_raise(rb_eRuntimeError, "shape 1 of b must be the same as shape 1 of a");
if (NA_TYPE(rblapack_b) != NA_DFLOAT)
rblapack_b = na_change_type(rblapack_b, NA_DFLOAT);
b = NA_PTR_TYPE(rblapack_b, doublereal*);
ihi = NUM2INT(rblapack_ihi);
if (!NA_IsNArray(rblapack_z))
rb_raise(rb_eArgError, "z (8th argument) must be NArray");
if (NA_RANK(rblapack_z) != 2)
rb_raise(rb_eArgError, "rank of z (8th argument) must be %d", 2);
ldz = NA_SHAPE0(rblapack_z);
if (NA_SHAPE1(rblapack_z) != n)
rb_raise(rb_eRuntimeError, "shape 1 of z must be the same as shape 1 of a");
if (NA_TYPE(rblapack_z) != NA_DFLOAT)
rblapack_z = na_change_type(rblapack_z, NA_DFLOAT);
z = NA_PTR_TYPE(rblapack_z, doublereal*);
{
na_shape_t shape[2];
shape[0] = lda;
shape[1] = n;
rblapack_a_out__ = na_make_object(NA_DFLOAT, 2, shape, cNArray);
}
a_out__ = NA_PTR_TYPE(rblapack_a_out__, doublereal*);
MEMCPY(a_out__, a, doublereal, NA_TOTAL(rblapack_a));
rblapack_a = rblapack_a_out__;
a = a_out__;
{
na_shape_t shape[2];
shape[0] = ldb;
shape[1] = n;
rblapack_b_out__ = na_make_object(NA_DFLOAT, 2, shape, cNArray);
}
b_out__ = NA_PTR_TYPE(rblapack_b_out__, doublereal*);
MEMCPY(b_out__, b, doublereal, NA_TOTAL(rblapack_b));
rblapack_b = rblapack_b_out__;
b = b_out__;
{
na_shape_t shape[2];
shape[0] = ldq;
shape[1] = n;
rblapack_q_out__ = na_make_object(NA_DFLOAT, 2, shape, cNArray);
}
q_out__ = NA_PTR_TYPE(rblapack_q_out__, doublereal*);
MEMCPY(q_out__, q, doublereal, NA_TOTAL(rblapack_q));
rblapack_q = rblapack_q_out__;
q = q_out__;
{
na_shape_t shape[2];
shape[0] = ldz;
shape[1] = n;
rblapack_z_out__ = na_make_object(NA_DFLOAT, 2, shape, cNArray);
}
z_out__ = NA_PTR_TYPE(rblapack_z_out__, doublereal*);
MEMCPY(z_out__, z, doublereal, NA_TOTAL(rblapack_z));
rblapack_z = rblapack_z_out__;
z = z_out__;
dgghrd_(&compq, &compz, &n, &ilo, &ihi, a, &lda, b, &ldb, q, &ldq, z, &ldz, &info);
rblapack_info = INT2NUM(info);
return rb_ary_new3(5, rblapack_info, rblapack_a, rblapack_b, rblapack_q, rblapack_z);
}
void
init_lapack_dgghrd(VALUE mLapack, VALUE sH, VALUE sU, VALUE zero){
sHelp = sH;
sUsage = sU;
rblapack_ZERO = zero;
rb_define_module_function(mLapack, "dgghrd", rblapack_dgghrd, -1);
}
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