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#include "rb_lapack.h"
extern VOID sdisna_(char* job, integer* m, integer* n, real* d, real* sep, integer* info);
static VALUE
rblapack_sdisna(int argc, VALUE *argv, VALUE self){
VALUE rblapack_job;
char job;
VALUE rblapack_n;
integer n;
VALUE rblapack_d;
real *d;
VALUE rblapack_sep;
real *sep;
VALUE rblapack_info;
integer info;
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 sep, info = NumRu::Lapack.sdisna( job, n, d, [:usage => usage, :help => help])\n\n\nFORTRAN MANUAL\n SUBROUTINE SDISNA( JOB, M, N, D, SEP, INFO )\n\n* Purpose\n* =======\n*\n* SDISNA computes the reciprocal condition numbers for the eigenvectors\n* of a real symmetric or complex Hermitian matrix or for the left or\n* right singular vectors of a general m-by-n matrix. The reciprocal\n* condition number is the 'gap' between the corresponding eigenvalue or\n* singular value and the nearest other one.\n*\n* The bound on the error, measured by angle in radians, in the I-th\n* computed vector is given by\n*\n* SLAMCH( 'E' ) * ( ANORM / SEP( I ) )\n*\n* where ANORM = 2-norm(A) = max( abs( D(j) ) ). SEP(I) is not allowed\n* to be smaller than SLAMCH( 'E' )*ANORM in order to limit the size of\n* the error bound.\n*\n* SDISNA may also be used to compute error bounds for eigenvectors of\n* the generalized symmetric definite eigenproblem.\n*\n\n* Arguments\n* =========\n*\n* JOB (input) CHARACTER*1\n* Specifies for which problem the reciprocal condition numbers\n* should be computed:\n* = 'E': the eigenvectors of a symmetric/Hermitian matrix;\n* = 'L': the left singular vectors of a general matrix;\n* = 'R': the right singular vectors of a general matrix.\n*\n* M (input) INTEGER\n* The number of rows of the matrix. M >= 0.\n*\n* N (input) INTEGER\n* If JOB = 'L' or 'R', the number of columns of the matrix,\n* in which case N >= 0. Ignored if JOB = 'E'.\n*\n* D (input) REAL array, dimension (M) if JOB = 'E'\n* dimension (min(M,N)) if JOB = 'L' or 'R'\n* The eigenvalues (if JOB = 'E') or singular values (if JOB =\n* 'L' or 'R') of the matrix, in either increasing or decreasing\n* order. If singular values, they must be non-negative.\n*\n* SEP (output) REAL array, dimension (M) if JOB = 'E'\n* dimension (min(M,N)) if JOB = 'L' or 'R'\n* The reciprocal condition numbers of the vectors.\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* =====================================================================\n*\n\n");
return Qnil;
}
if (rb_hash_aref(rblapack_options, sUsage) == Qtrue) {
printf("%s\n", "USAGE:\n sep, info = NumRu::Lapack.sdisna( job, n, d, [:usage => usage, :help => help])\n");
return Qnil;
}
} else
rblapack_options = Qnil;
if (argc != 3 && argc != 3)
rb_raise(rb_eArgError,"wrong number of arguments (%d for 3)", argc);
rblapack_job = argv[0];
rblapack_n = argv[1];
rblapack_d = argv[2];
if (argc == 3) {
} else if (rblapack_options != Qnil) {
} else {
}
job = StringValueCStr(rblapack_job)[0];
if (!NA_IsNArray(rblapack_d))
rb_raise(rb_eArgError, "d (3th argument) must be NArray");
if (NA_RANK(rblapack_d) != 1)
rb_raise(rb_eArgError, "rank of d (3th argument) must be %d", 1);
m = 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*);
n = NUM2INT(rblapack_n);
{
na_shape_t shape[1];
shape[0] = lsame_(&job,"E") ? m : ((lsame_(&job,"L")) || (lsame_(&job,"R"))) ? MIN(m,n) : 0;
rblapack_sep = na_make_object(NA_SFLOAT, 1, shape, cNArray);
}
sep = NA_PTR_TYPE(rblapack_sep, real*);
sdisna_(&job, &m, &n, d, sep, &info);
rblapack_info = INT2NUM(info);
return rb_ary_new3(2, rblapack_sep, rblapack_info);
}
void
init_lapack_sdisna(VALUE mLapack, VALUE sH, VALUE sU, VALUE zero){
sHelp = sH;
sUsage = sU;
rblapack_ZERO = zero;
rb_define_module_function(mLapack, "sdisna", rblapack_sdisna, -1);
}
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