SpECTRE Documentation Coverage Report
Current view: top level - NumericalAlgorithms/Spectral/BasisFunctions - Zernike.hpp Coverage Total Hit
Commit: 0d1d717af84a81fb1284a20c4013708fe85cc2f0 Lines: 83.3 % 6 5
Test Date: 2026-10-22 17:29:42
Legend: Lines:     hit not hit

            Line data    Source code
       1            0 : // Distributed under the MIT License.
       2              : // See LICENSE.txt for details.
       3              : 
       4              : #pragma once
       5              : 
       6              : #include <cstddef>
       7              : 
       8              : #include "NumericalAlgorithms/Spectral/CollocationPointsAndWeights.hpp"
       9              : 
      10              : /// \cond
      11              : class DataVector;
      12              : class Matrix;
      13              : namespace Spectral {
      14              : enum class Quadrature : uint8_t;
      15              : enum class Parity : uint8_t;
      16              : }  // namespace Spectral
      17              : /// \endcond
      18              : 
      19              : namespace Spectral {
      20              : 
      21              : /*!
      22              :  * \ingroup SpectralGroup
      23              :  *
      24              :  * \brief A collection of helper functions for the radial functions used in
      25              :  * Zernike polyomials
      26              :  *
      27              :  */
      28              : template <size_t Dim>
      29            1 : class Zernike {
      30              :  public:
      31              :   /*!
      32              :    * \brief Value of the basis function \f$\Phi^m_n(\xi) = R^m_n(r)\f$,
      33              :    * where \f$r \equiv \frac{1}{2} (\xi + 1)\f$, implemented from
      34              :    * \cite Matsushima1995
      35              :    */
      36              :   template <typename T>
      37            1 :   static T basis_function_value(size_t n, size_t m, const T& xi);
      38              : 
      39              :   /*!
      40              :    * \brief Collocation points \f${x_i}\f$ and quadrature weights \f${w_i}\f$
      41              :    */
      42              :   static std::pair<DataVector, DataVector>
      43            1 :   compute_collocation_points_and_weights(size_t num_points);
      44              : 
      45              :   /*!
      46              :    * \brief Matrix \f$D_{i,j}\f$ used to obtain the first derivative for a
      47              :    * given parity.
      48              :    *
      49              :    * Due to the clustering of Zernike collocation toward the upper side, the
      50              :    * generic implementation of derivatives with barycentric weights yields
      51              :    * large errors. By utilizing the fact that the Zernike bases' \f$m\f$
      52              :    * corresponds to parity of representable functions, we can extend the
      53              :    * function to negative \f$r\f$ before forming the matrix, greatly improving
      54              :    * accuracy.
      55              :    */
      56            1 :   static Matrix differentiation_matrix(size_t num_points, Parity parity);
      57              : 
      58              :   /*!
      59              :    * \brief %Matrix used to interpolate to the \p target_points.
      60              :    *
      61              :    * Due to the clustering of Zernike collocation toward the upper side, the
      62              :    * generic barycentric interpolation yields large errors. By utilizing the
      63              :    * fact that the Zernike bases' \f$m\f$ corresponds to parity of
      64              :    * representable functions, we extend the function to negative \f$r\f$ before
      65              :    * forming the matrix, greatly improving accuracy.
      66              :    *
      67              :    * The returned matrix \f$M\f$ has \f$n_\mathrm{target}\f$ rows and
      68              :    * \p num_points columns, so that \f$f_\mathrm{target} = M
      69              :    * f_\mathrm{source}\f$.
      70              :    *
      71              :    * This should only be used for ZernikeB1. To interpolate ZernikeB2 or
      72              :    * ZernikeB3, look at Irregular or Cardinal.
      73              :    */
      74              :   template <typename T>
      75            1 :   static Matrix interpolation_matrix(size_t num_points, const T& target_points,
      76              :                                      Parity parity);
      77              : };
      78              : }  // namespace Spectral
        

Generated by: LCOV version 2.0-1