Multi-dimensional interpolation by kriging.
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#include <interpm_krige.h>
template<class vec_t = boost::numeric::ublas::vector<double>, class mat_t = boost::numeric::ublas::vector<double>, class mat_row_t = boost::numeric::ublas::matrix_row <boost::numeric::ublas::vector<double> >>
class o2scl::interpm_krige< vec_t, mat_t, mat_row_t >
- Note
- The set data functions for this class uses a particular format, one different format than that in o2scl::interpm_idw . This design choice makes it easier to pass vector arguments to the covariance function and the linear algebra routines. The x and y objects should be of the form
x[n_points][n_in]
and y[n_out][n_points]
. A separate covariance function is required for each output.
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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.
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Experimental.
Definition at line 74 of file interpm_krige.h.
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std::vector< ubvector > | Kinvf |
| Inverse covariance matrix times function vector.
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size_t | np |
| The number of points.
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size_t | nd_in |
| The number of dimensions of the inputs.
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size_t | nd_out |
| The number of dimensions of the outputs.
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mat_t | x |
| The data.
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bool | data_set |
| True if the data has been specified.
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ubvector | min |
| Minimum values for rescaling.
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ubvector | max |
| Maximum values for rescaling.
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bool | rescaled |
| True if the data needs to be rescaled.
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size_t | matrix_mode |
| Method for matrix inversion.
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int | verbose |
| Verbosity parameter (default 0)
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static const size_t | matrix_cholesky =0 |
| Use Cholesky decomposition.
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static const size_t | matrix_LU =1 |
| Use LU decomposition.
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template<class mat2_row_t , class mat2_t , class func_vec_t > |
int | set_data_noise (size_t n_in, size_t n_out, size_t n_points, mat_t &user_x, mat2_t &user_y, func_vec_t &fcovar, const vec_t &noise_var, bool rescale=false, bool err_on_fail=true) |
| Initialize the data for the interpolation. More...
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template<class mat2_row_t , class mat2_t , class func_vec_t > |
int | set_data (size_t n_in, size_t n_out, size_t n_points, mat_t &user_x, mat2_t &user_y, func_vec_t &fcovar, bool rescale=false, bool err_on_fail=true) |
| Initialize the data for the interpolation. More...
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template<class vec2_t , class vec3_t , class vec_func_t > |
void | eval (const vec2_t &x0, vec3_t &y0, vec_func_t &fcovar) |
| Given covariance function fcovar and input vector x store the result of the interpolation in y .
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◆ set_data()
template<class vec_t = boost::numeric::ublas::vector<double>, class mat_t = boost::numeric::ublas::vector<double>, class mat_row_t = boost::numeric::ublas::matrix_row <boost::numeric::ublas::vector<double> >>
template<class mat2_row_t , class mat2_t , class func_vec_t >
int o2scl::interpm_krige< vec_t, mat_t, mat_row_t >::set_data |
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size_t |
n_in, |
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size_t |
n_out, |
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size_t |
n_points, |
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mat_t & |
user_x, |
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mat2_t & |
user_y, |
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func_vec_t & |
fcovar, |
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bool |
rescale = false , |
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bool |
err_on_fail = true |
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inline |
◆ set_data_noise()
template<class vec_t = boost::numeric::ublas::vector<double>, class mat_t = boost::numeric::ublas::vector<double>, class mat_row_t = boost::numeric::ublas::matrix_row <boost::numeric::ublas::vector<double> >>
template<class mat2_row_t , class mat2_t , class func_vec_t >
int o2scl::interpm_krige< vec_t, mat_t, mat_row_t >::set_data_noise |
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size_t |
n_in, |
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size_t |
n_out, |
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size_t |
n_points, |
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mat_t & |
user_x, |
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mat2_t & |
user_y, |
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func_vec_t & |
fcovar, |
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const vec_t & |
noise_var, |
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bool |
rescale = false , |
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bool |
err_on_fail = true |
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inline |
The documentation for this class was generated from the following file: