1 | #ifndef _theplu_yat_regression_gslinterpolation_ |
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2 | #define _theplu_yat_regression_gslinterpolation_ |
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3 | |
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4 | // $Id: GSLInterpolation.h 2992 2013-03-03 05:03:44Z peter $ |
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5 | |
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6 | /* |
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7 | Copyright (C) 2004, 2005, 2006, 2007, 2008 Jari Häkkinen, Peter Johansson |
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8 | Copyright (C) 2009 Jari Häkkinen |
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9 | |
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10 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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11 | |
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12 | The yat library is free software; you can redistribute it and/or |
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13 | modify it under the terms of the GNU General Public License as |
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14 | published by the Free Software Foundation; either version 3 of the |
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15 | License, or (at your option) any later version. |
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16 | |
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17 | The yat library is distributed in the hope that it will be useful, |
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18 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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19 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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20 | General Public License for more details. |
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21 | |
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22 | You should have received a copy of the GNU General Public License |
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23 | along with yat. If not, see <http://www.gnu.org/licenses/>. |
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24 | */ |
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25 | |
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26 | #include <gsl/gsl_interp.h> |
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27 | |
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28 | namespace theplu { |
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29 | namespace yat { |
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30 | namespace utility { |
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31 | class VectorBase; |
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32 | } |
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33 | namespace regression { |
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34 | |
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35 | /** |
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36 | \brief Base class for interfacing GSL interpolation. |
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37 | |
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38 | The GSL interpolation is described in the |
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39 | <A HREF= |
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40 | "http://www.gnu.org/software/gsl/manual/html_node/Interpolation.html"> |
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41 | GSL Manual.</A> |
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42 | The GSL library provides a variety of interpolation methods, |
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43 | including Cubic splines and Akima splines. Interpolations can be |
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44 | defined for both normal and periodic boundary |
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45 | conditions. Additional functions are available for computing |
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46 | derivatives and integrals of interpolating functions. |
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47 | |
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48 | Given a set of data points \f$ (x_1, y_1) \dots (x_n, y_n) \f$ |
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49 | the sub classes compute a continuous interpolating function \f$ |
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50 | y(x) \f$ such that \f$ y(x_i) = y_i \f$. The interpolation is |
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51 | piecewise smooth, and its behavior at the end-points is |
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52 | determined by the type of interpolation used. |
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53 | |
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54 | When underlying GSL functions return GSL error an GSL_error is |
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55 | thrown. Refer to the gsl_errno.h for the error code listing. |
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56 | |
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57 | \since New in yat 0.5 |
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58 | */ |
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59 | class GSLInterpolation |
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60 | { |
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61 | |
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62 | public: |
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63 | /** |
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64 | \brief The default constructor |
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65 | |
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66 | Initialization of the interpolation object for the data \f$ (x, |
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67 | y) \f$ where \a x and \a y are vector like objects of the same |
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68 | size. The content of \a x and \a y are copied for internal |
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69 | storage. \a x is always assumed to be strictly ordered, with |
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70 | increasing \a x values; the behavior for other arrangements is |
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71 | not defined. |
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72 | |
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73 | \throw GSL_error if some underlying GSL functions return GSL |
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74 | error. Refer to gsl_errno.h for the error code listing. |
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75 | */ |
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76 | GSLInterpolation(const gsl_interp_type*, const utility::VectorBase& x, |
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77 | const utility::VectorBase& y); |
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78 | |
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79 | /** |
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80 | \brief The destructor |
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81 | */ |
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82 | virtual ~GSLInterpolation(void)=0; |
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83 | |
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84 | /** |
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85 | \brief Calculate the interpolated value for \a x. |
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86 | |
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87 | \return The interpolated value of \f$ y \f$ for a given point |
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88 | \a x. |
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89 | |
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90 | \throw GSL_error if evaluation is requested outside the range |
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91 | defined by the interpolation algorithm. |
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92 | */ |
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93 | double evaluate(double x); |
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94 | |
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95 | /** |
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96 | \brief Calculate the derivative of the interpolated function at |
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97 | \a x. |
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98 | |
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99 | \return The derivative. |
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100 | |
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101 | \throw GSL_error if evaluation is requested outside the range |
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102 | defined by the interpolation algorithm. |
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103 | */ |
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104 | double evaluate_derivative(double x); |
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105 | |
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106 | /** |
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107 | \brief Calculate the 2nd derivative of the interpolated |
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108 | function at \a x. |
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109 | |
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110 | \return The 2nd derivative. |
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111 | |
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112 | \throw GSL_error if evaluation is requested outside the range |
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113 | defined by the interpolation algorithm. |
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114 | */ |
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115 | double evaluate_derivative2(double x); |
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116 | |
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117 | /** |
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118 | \brief Calculate the numerical integral of the interpolated |
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119 | function over the range \f$ [a,b] \f$. |
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120 | |
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121 | \return The integral. |
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122 | |
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123 | \throw GSL_error if evaluation is requested outside the range |
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124 | defined by the interpolation algorithm. |
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125 | */ |
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126 | double evaluate_integral(double a, double b); |
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127 | |
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128 | /** |
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129 | \brief The result of the latest evaluaion function call is |
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130 | stored and can be retrieved with this function. |
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131 | |
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132 | \return The latest evaluated value. |
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133 | */ |
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134 | double evaluation(void) const; |
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135 | |
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136 | /** |
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137 | \brief This function returns the minimum number of points |
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138 | required by the interpolation type. |
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139 | |
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140 | For example, Akima spline interpolation requires a minimum of 5 |
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141 | points. |
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142 | |
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143 | \return The minimum number of points required. |
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144 | */ |
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145 | unsigned int min_size(void) const; |
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146 | |
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147 | private: |
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148 | /** |
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149 | \brief Copy Constructor. (not implemented) |
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150 | */ |
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151 | GSLInterpolation(const GSLInterpolation&); |
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152 | // no assignment |
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153 | GSLInterpolation& operator=(const GSLInterpolation&); |
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154 | |
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155 | gsl_interp_accel* accelerator_; |
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156 | double evaluation_; |
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157 | gsl_interp* interpolator_; |
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158 | double* x_; |
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159 | double* y_; |
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160 | }; |
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161 | |
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162 | }}} // of namespaces regression, yat, and theplu |
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163 | |
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164 | #endif |
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