24 #if defined (HAVE_CONFIG_H)
44 if (len != a.
numel ())
62 if (c < 0 || c + a_len >
numel ())
63 (*current_liboctave_error_handler) (
"range error for insert");
82 if (c < 0 || c + a_len >
numel ())
83 (*current_liboctave_error_handler) (
"range error for insert");
133 if (c1 < 0 || c2 < 0 || c1 >= len || c2 >= len)
134 (*current_liboctave_error_handler) (
"range error for fill");
155 if (c1 < 0 || c2 < 0 || c1 >= len || c2 >= len)
156 (*current_liboctave_error_handler) (
"range error for fill");
178 retval.insert (a, nc_insert);
189 retval.insert (a, nc_insert);
208 return do_mx_unary_map<FloatComplex, FloatComplex, std::conj<float> > (
a);
295 retval.
resize (a_nc, 0.0);
305 F77_XFCN (cgemv, CGEMV, (F77_CONST_CHAR_ARG2 (
"T", 1),
308 F77_CHAR_ARG_LEN (1)));
370 os <<
" " << a.
elem (
i);
440 retval(
i) = x1 +
static_cast<float> (
i)*delta;
bool operator==(const FloatComplexRowVector &a) const
void mx_inline_add2(size_t n, R *r, const X *x)
FloatComplexRowVector conj(const FloatComplexRowVector &a)
void mx_inline_sub2(size_t n, R *r, const X *x)
FloatComplexRowVector & fill(float val)
octave_idx_type numel(void) const
Number of elements in the array.
identity matrix If supplied two scalar respectively For allows like xample val
F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T const F77_REAL const F77_REAL F77_REAL &F77_RET_T const F77_DBLE const F77_DBLE F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T const F77_DBLE F77_DBLE &F77_RET_T const F77_REAL F77_REAL &F77_RET_T F77_REAL F77_REAL &F77_RET_T F77_DBLE F77_DBLE &F77_RET_T const F77_DBLE const F77_DBLE * f
std::ostream & operator<<(std::ostream &os, const FloatComplexRowVector &a)
MArray< T > transpose(void) const
FloatComplexRowVector extract_n(octave_idx_type c1, octave_idx_type n) const
FloatComplexColumnVector transpose(void) const
FloatComplexRowVector operator*(const FloatComplexRowVector &v, const FloatComplexMatrix &a)
T & elem(octave_idx_type n)
#define F77_XFCN(f, F, args)
FloatComplexRowVector & operator+=(const FloatRowVector &a)
octave_idx_type rows(void) const
F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T const F77_REAL const F77_REAL F77_REAL &F77_RET_T const F77_DBLE const F77_DBLE F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T F77_DBLE &F77_RET_T F77_REAL &F77_RET_T F77_REAL &F77_RET_T F77_DBLE &F77_RET_T const F77_DBLE F77_DBLE &F77_RET_T const F77_REAL F77_REAL &F77_RET_T F77_REAL F77_REAL &F77_RET_T F77_DBLE F77_DBLE &F77_RET_T const F77_DBLE const F77_DBLE F77_DBLE * d
calling an anonymous function involves an overhead quite comparable to the overhead of an m file function Passing a handle to a built in function is because the interpreter is not involved in the internal loop For a
FloatComplexRowVector linspace(const FloatComplex &x1, const FloatComplex &x2, octave_idx_type n)
FloatComplexRowVector extract(octave_idx_type c1, octave_idx_type c2) const
const FloatComplex * data(void) const
std::istream & operator>>(std::istream &is, FloatComplexRowVector &a)
void err_nonconformant(const char *op, octave_idx_type op1_len, octave_idx_type op2_len)
void resize(octave_idx_type n, const FloatComplex &rfv=FloatComplex(0))
F77_RET_T F77_FUNC(xstopx, XSTOPX) const
FloatComplex max(void) const
the sparsity preserving column transformation such that that defines the pivoting threshold can be given in which case it defines the c
MArray< T > hermitian(T(*fcn)(const T &)=0) const
FloatComplexColumnVector hermitian(void) const
With real return the complex result
FloatComplex & xelem(octave_idx_type n)
bool operator!=(const FloatComplexRowVector &a) const
This is a simple wrapper template that will subclass an Array type or any later type derived from ...
=val(i)}if ode{val(i)}occurs in table i
OCTAVE_EXPORT octave_value_list return the value of the option it must match the dimension of the state and the relative tolerance must also be a vector of the same length tem it must match the dimension of the state and the absolute tolerance must also be a vector of the same length The local error test applied at each integration step is xample roup abs(local error in x(i))<
the element is set to zero In other the statement xample y
#define F77_CONST_CMPLX_ARG(x)
std::complex< float > FloatComplex
FloatComplexRowVector & insert(const FloatRowVector &a, octave_idx_type c)
FloatComplexRowVector append(const FloatRowVector &a) const
const FloatComplex * fortran_vec(void) const
bool mx_inline_equal(size_t n, const T1 *x, const T2 *y)
octave_idx_type cols(void) const
write the output to stdout if nargout is
subroutine xcdotu(n, zx, incx, zy, incy, retval)
FloatComplexRowVector & operator-=(const FloatRowVector &a)
FloatComplex min(void) const