o2scl::interpm_krige_nn< vec_t, mat_col_t, covar_func_t > Class Template Reference

Multi-dimensional interpolation by kriging with nearest-neighbor. More...

#include <interpm_krige.h>

Detailed Description

template<class vec_t = boost::numeric::ublas::vector<double>, class mat_col_t = boost::numeric::ublas::matrix_column< boost::numeric::ublas::matrix<double> >, class covar_func_t = std::function<double(const vec_t &,const vec_t &)>>
class o2scl::interpm_krige_nn< vec_t, mat_col_t, covar_func_t >

Note

This class assumes that the function specified in the call to set_data() is the same as that passed to the eval() functions. If this is not the case, the behavior of this class is undefined.

Experimental.

Definition at line 214 of file interpm_krige.h.

Public Types
typedef boost::numeric::ublas::vector< double >	ubvector
typedef boost::numeric::ublas::matrix< double >	ubmatrix
typedef boost::numeric::ublas::vector< size_t >	ubvector_size_t

Public Member Functions
template<class vec_vec_t , class vec_vec2_t >
void	set_data (size_t n_in, size_t n_out, size_t n_points, vec_vec_t &x, vec_vec2_t &y, std::vector< covar_func_t > &fcovar, size_t order)
	Initialize the data for the interpolation.
template<class vec2_t , class vec3_t >
void	eval (const vec2_t &x, vec3_t &y, std::vector< covar_func_t > &fcovar) const
	Given covariance function fcovar and input vector x store the result of the interpolation in y.
template<class vec2_t >
void	find_lin_indep (const vec2_t &x, size_t iout, std::vector< covar_func_t > &fcovar, ubvector_size_t &index, ubvector_size_t &indep) const
	Find a set of linearly independent points. More...
template<class vec2_t >
double	eval (const vec2_t &x, size_t iout, std::vector< covar_func_t > &fcovar) const
	Given covariance function fcovar and input vector x return the result of the interpolation for function with index iout.
template<class vec2_t >
double	eval_jackknife (const vec2_t &x, size_t iout, std::vector< covar_func_t > &fcovar) const
	Compute a quality factor for interpolation using jackknife resampling.

Public Attributes
int	verbose
	Verbosity parameter (default 0)

Protected Attributes
size_t	n_order
	The order of the interpolation (specified by set_data() )
size_t	np
	The number of points.
size_t	nd_in
	The number of dimensions of the inputs.
size_t	nd_out
	The number of dimensions of the outputs.
std::vector< vec_t >	ptrs_x
	A vector of pointers holding the data.
std::vector< vec_t >	ptrs_y
	A vector of pointers holding the data.
bool	data_set
	True if the data has been specified.

Member Function Documentation

find_lin_indep()

template<class vec_t = boost::numeric::ublas::vector<double>, class mat_col_t = boost::numeric::ublas::matrix_column< boost::numeric::ublas::matrix<double> >, class covar_func_t = std::function<double(const vec_t &,const vec_t &)>>

template<class vec2_t >

void o2scl::interpm_krige_nn< vec_t, mat_col_t, covar_func_t >::find_lin_indep ( const vec2_t &  x, size_t  iout, std::vector< covar_func_t > &  fcovar, ubvector_size_t &  index, ubvector_size_t &  indep  ) const

inline

Given a point x, a covariance function fcovar, the index of the output function iout, and an array specifying the closest points index, this function produces a list of

Definition at line 360 of file interpm_krige.h.

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The documentation for this class was generated from the following file:

• /home/awsteiner/wcs/o2scl/src/other/interpm_krige.h