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#include "rb_lapack.h"
extern VOID slarrr_(integer* n, real* d, real* e, integer* info);
static VALUE
rblapack_slarrr(int argc, VALUE *argv, VALUE self){
VALUE rblapack_d;
real *d;
VALUE rblapack_e;
real *e;
VALUE rblapack_info;
integer info;
VALUE rblapack_e_out__;
real *e_out__;
integer n;
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, e = NumRu::Lapack.slarrr( d, e, [:usage => usage, :help => help])\n\n\nFORTRAN MANUAL\n SUBROUTINE SLARRR( N, D, E, INFO )\n\n* Purpose\n* =======\n*\n* Perform tests to decide whether the symmetric tridiagonal matrix T\n* warrants expensive computations which guarantee high relative accuracy\n* in the eigenvalues.\n*\n\n* Arguments\n* =========\n*\n* N (input) INTEGER\n* The order of the matrix. N > 0.\n*\n* D (input) REAL array, dimension (N)\n* The N diagonal elements of the tridiagonal matrix T.\n*\n* E (input/output) REAL array, dimension (N)\n* On entry, the first (N-1) entries contain the subdiagonal\n* elements of the tridiagonal matrix T; E(N) is set to ZERO.\n*\n* INFO (output) INTEGER\n* INFO = 0(default) : the matrix warrants computations preserving\n* relative accuracy.\n* INFO = 1 : the matrix warrants computations guaranteeing\n* only absolute accuracy.\n*\n\n* Further Details\n* ===============\n*\n* Based on contributions by\n* Beresford Parlett, University of California, Berkeley, USA\n* Jim Demmel, University of California, Berkeley, USA\n* Inderjit Dhillon, University of Texas, Austin, USA\n* Osni Marques, LBNL/NERSC, USA\n* Christof Voemel, University of California, Berkeley, USA\n*\n* =====================================================================\n*\n\n");
return Qnil;
}
if (rb_hash_aref(rblapack_options, sUsage) == Qtrue) {
printf("%s\n", "USAGE:\n info, e = NumRu::Lapack.slarrr( d, e, [:usage => usage, :help => help])\n");
return Qnil;
}
} else
rblapack_options = Qnil;
if (argc != 2 && argc != 2)
rb_raise(rb_eArgError,"wrong number of arguments (%d for 2)", argc);
rblapack_d = argv[0];
rblapack_e = argv[1];
if (argc == 2) {
} else if (rblapack_options != Qnil) {
} else {
}
if (!NA_IsNArray(rblapack_d))
rb_raise(rb_eArgError, "d (1th argument) must be NArray");
if (NA_RANK(rblapack_d) != 1)
rb_raise(rb_eArgError, "rank of d (1th 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*);
if (!NA_IsNArray(rblapack_e))
rb_raise(rb_eArgError, "e (2th argument) must be NArray");
if (NA_RANK(rblapack_e) != 1)
rb_raise(rb_eArgError, "rank of e (2th argument) must be %d", 1);
if (NA_SHAPE0(rblapack_e) != n)
rb_raise(rb_eRuntimeError, "shape 0 of e must be the same as shape 0 of d");
if (NA_TYPE(rblapack_e) != NA_SFLOAT)
rblapack_e = na_change_type(rblapack_e, NA_SFLOAT);
e = NA_PTR_TYPE(rblapack_e, real*);
{
na_shape_t shape[1];
shape[0] = n;
rblapack_e_out__ = na_make_object(NA_SFLOAT, 1, shape, cNArray);
}
e_out__ = NA_PTR_TYPE(rblapack_e_out__, real*);
MEMCPY(e_out__, e, real, NA_TOTAL(rblapack_e));
rblapack_e = rblapack_e_out__;
e = e_out__;
slarrr_(&n, d, e, &info);
rblapack_info = INT2NUM(info);
return rb_ary_new3(2, rblapack_info, rblapack_e);
}
void
init_lapack_slarrr(VALUE mLapack, VALUE sH, VALUE sU, VALUE zero){
sHelp = sH;
sUsage = sU;
rblapack_ZERO = zero;
rb_define_module_function(mLapack, "slarrr", rblapack_slarrr, -1);
}
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