SpECTRE Documentation Coverage Report
Current view: top level - NumericalAlgorithms/Interpolation - LinearLeastSquares.hpp Hit Total Coverage
Commit: 1f2210958b4f38fdc0400907ee7c6d5af5111418 Lines: 2 3 66.7 %
Date: 2025-12-05 05:03:31
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          Line data    Source code
       1           0 : // Distributed under the MIT License.
       2             : // See LICENSE.txt for details.
       3             : 
       4             : #pragma once
       5             : 
       6             : #include <array>
       7             : #include <cstddef>
       8             : #include <vector>
       9             : 
      10             : namespace intrp {
      11             : /*!
      12             :  * \ingroup NumericalAlgorithmsGroup
      13             :  * \brief A linear least squares solver
      14             :  *
      15             :  * A wrapper class for the gsl linear least squares solver which determines
      16             :  * the coefficients of best fit for a polynomial of order `Order` given a set
      17             :  * of data points `x_values` and `y_values` representing some function y(x).
      18             :  * The coefficients can be passed to \ref evaluate_polynomial for
      19             :  * interpolation.
      20             :  *
      21             :  * The form taking and returning vectors performs several fits in sequence,
      22             :  * reusing internal allocations for efficiency.
      23             :  *
      24             :  * The details of the linear least squares solver can be seen here:
      25             :  * [GSL documentation](https://www.gnu.org/software/gsl/doc/html/lls.html#).
      26             :  */
      27             : /// @{
      28             : template <size_t Order, typename T>
      29           1 : std::array<double, Order + 1> linear_least_squares(const T& x_values,
      30             :                                                    const T& y_values);
      31             : template <size_t Order, typename T>
      32           1 : std::vector<std::array<double, Order + 1>> linear_least_squares(
      33             :     const T& x_values, const std::vector<T>& y_values);
      34             : /// @}
      35             : }  // namespace intrp

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