chebyshev_smooth_lsq Class Template Reference
Some functionality for least squares fitting.
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#include <chebyshev.h>
List of all members.
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Public Member Functions |
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| chebyshev_smooth_lsq (std::size_t const &n_terms, FloatType const &low_limit, FloatType const &high_limit, scitbx::af::const_ref< FloatType > const &x_obs, scitbx::af::const_ref< FloatType > const &y_obs, scitbx::af::const_ref< FloatType > const &w_obs, scitbx::af::const_ref< bool > const &free_flags) |
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FloatType | residual () |
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FloatType | free_residual () |
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scitbx::af::shared< FloatType > | gradient () |
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void | replace (scitbx::af::const_ref< FloatType > const &new_coefs) |
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scitbx::af::shared< FloatType > | coefs () |
Detailed Description
template<typename FloatType = double>
class scitbx::math::chebyshev::chebyshev_smooth_lsq< FloatType >
Some functionality for least squares fitting.
This is to fit a chebyshev polynome with gibbs damping. Although elegant, it does not really seems to make a hughe difference over the normal chebyshev polynome in the cases I have tested. There is !no! pythonm interface for this, and this function might be removed at one stage or another
The documentation for this class was generated from the following file:
