1 | // $Id: GSLInterpolation.cc 1650 2008-12-14 22:13:48Z jari $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2008 Jari Häkkinen |
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5 | |
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6 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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7 | |
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8 | The yat library is free software; you can redistribute it and/or |
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9 | modify it under the terms of the GNU General Public License as |
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10 | published by the Free Software Foundation; either version 3 of the |
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11 | License, or (at your option) any later version. |
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12 | |
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13 | The yat library is distributed in the hope that it will be useful, |
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14 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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15 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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16 | General Public License for more details. |
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17 | |
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18 | You should have received a copy of the GNU General Public License |
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19 | along with yat. If not, see <http://www.gnu.org/licenses/>. |
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20 | */ |
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21 | |
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22 | #include "GSLInterpolation.h" |
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23 | |
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24 | #include "yat/utility/VectorBase.h" |
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25 | |
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26 | #include <cassert> |
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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 regression { |
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31 | |
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32 | |
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33 | GSLInterpolation::GSLInterpolation(const gsl_interp_type* interpolator_type, |
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34 | const utility::VectorBase& x, |
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35 | const utility::VectorBase& y) |
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36 | : evaluation_(0.0), gsl_status_(0) |
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37 | { |
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38 | assert(x.size()==y.size()); |
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39 | size_t size=x.size(); |
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40 | x_=new double[size]; |
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41 | y_=new double[size]; |
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42 | for (size_t i=0; i<size; ++i) { |
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43 | x_[i]=x(i); |
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44 | y_[i]=y(i); |
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45 | } |
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46 | interpolator_ = gsl_interp_alloc(interpolator_type, size); |
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47 | gsl_status_=gsl_interp_init(interpolator_, x_, y_, size); |
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48 | accelerator_ = gsl_interp_accel_alloc(); |
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49 | } |
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50 | |
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51 | |
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52 | GSLInterpolation::~GSLInterpolation(void) |
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53 | { |
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54 | gsl_interp_free(interpolator_); |
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55 | gsl_interp_accel_free(accelerator_); |
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56 | delete x_; |
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57 | delete y_; |
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58 | } |
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59 | |
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60 | |
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61 | size_t GSLInterpolation::bsearch(const double x_array[], double x, |
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62 | size_t index_lo, size_t index_hi) const |
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63 | { |
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64 | return gsl_interp_bsearch(x_array, x, index_lo, index_hi); |
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65 | } |
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66 | |
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67 | |
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68 | int GSLInterpolation::error_status(void) const |
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69 | { |
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70 | return gsl_status_; |
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71 | } |
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72 | |
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73 | |
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74 | double GSLInterpolation::evaluate(double x) |
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75 | { |
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76 | gsl_status_=gsl_interp_eval_e(interpolator_, x_, y_, x, accelerator_, |
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77 | &evaluation_); |
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78 | return evaluation_; |
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79 | } |
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80 | |
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81 | |
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82 | double GSLInterpolation::evaluate_derivative(double x) |
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83 | { |
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84 | gsl_status_=gsl_interp_eval_deriv_e(interpolator_, x_, y_, x, accelerator_, |
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85 | &evaluation_); |
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86 | return evaluation_; |
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87 | } |
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88 | |
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89 | |
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90 | double GSLInterpolation::evaluate_derivative2(double x) |
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91 | { |
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92 | gsl_status_=gsl_interp_eval_deriv2_e(interpolator_, x_, y_, x, accelerator_, |
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93 | &evaluation_); |
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94 | return evaluation_; |
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95 | } |
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96 | |
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97 | |
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98 | double GSLInterpolation::evaluate_integral(double a, double b) |
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99 | { |
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100 | gsl_status_=gsl_interp_eval_integ_e(interpolator_, x_, y_, a, b, |
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101 | accelerator_, &evaluation_); |
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102 | return evaluation_; |
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103 | } |
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104 | |
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105 | |
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106 | double GSLInterpolation::evaluation(void) const |
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107 | { |
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108 | return evaluation_; |
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109 | } |
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110 | |
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111 | |
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112 | unsigned int GSLInterpolation::min_size(void) const |
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113 | { |
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114 | return gsl_interp_min_size(interpolator_); |
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115 | } |
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116 | |
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117 | |
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118 | }}} // of namespaces regression, yat, and theplu |
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