source: trunk/yat/regression/GSLInterpolation.cc @ 1650

Last change on this file since 1650 was 1650, checked in by Jari Häkkinen, 13 years ago

Addresses #466. Added checks for GSL errors, improved docs, added some more tests.

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 2.8 KB
RevLine 
[193]1// $Id: GSLInterpolation.cc 1650 2008-12-14 22:13:48Z jari $
2
[675]3/*
[1643]4  Copyright (C) 2008 Jari Häkkinen
[193]5
[1437]6  This file is part of the yat library, http://dev.thep.lu.se/yat
[193]7
[675]8  The yat library is free software; you can redistribute it and/or
9  modify it under the terms of the GNU General Public License as
[1486]10  published by the Free Software Foundation; either version 3 of the
[675]11  License, or (at your option) any later version.
12
13  The yat library is distributed in the hope that it will be useful,
14  but WITHOUT ANY WARRANTY; without even the implied warranty of
15  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
16  General Public License for more details.
17
18  You should have received a copy of the GNU General Public License
[1487]19  along with yat. If not, see <http://www.gnu.org/licenses/>.
[675]20*/
21
[1643]22#include "GSLInterpolation.h"
[675]23
[1644]24#include "yat/utility/VectorBase.h"
[1643]25
26#include <cassert>
27
[193]28namespace theplu {
[680]29namespace yat {
[383]30namespace regression {
[193]31
[703]32
[1643]33  GSLInterpolation::GSLInterpolation(const gsl_interp_type* interpolator_type,
[1644]34                                     const utility::VectorBase& x,
35                                     const utility::VectorBase& y)
[1650]36    : evaluation_(0.0), gsl_status_(0)
[703]37  {
[1643]38    assert(x.size()==y.size());
39    size_t size=x.size();
40    x_=new double[size];
41    y_=new double[size];
42    for (size_t i=0; i<size; ++i) {
43      x_[i]=x(i);
44      y_[i]=y(i);
45    }
[1644]46    interpolator_ = gsl_interp_alloc(interpolator_type, size);
[1650]47    gsl_status_=gsl_interp_init(interpolator_, x_, y_, size);
[1643]48    accelerator_ = gsl_interp_accel_alloc();
[703]49  }
[713]50
[718]51
[1643]52  GSLInterpolation::~GSLInterpolation(void)
[718]53  {
[1643]54    gsl_interp_free(interpolator_);
55    gsl_interp_accel_free(accelerator_);
56    delete x_;
57    delete y_;
[718]58  }
59
60
[1648]61  size_t GSLInterpolation::bsearch(const double x_array[], double x,
62                                   size_t index_lo, size_t index_hi) const
63  {
64    return gsl_interp_bsearch(x_array, x, index_lo, index_hi);
65  }
66
67
[1650]68  int GSLInterpolation::error_status(void) const
69  {
70    return gsl_status_;
71  }
72
73
[1648]74  double GSLInterpolation::evaluate(double x)
[1650]75  {
76    gsl_status_=gsl_interp_eval_e(interpolator_, x_, y_, x, accelerator_,
77                                  &evaluation_);
78    return evaluation_;
[221]79  }
80
[726]81
[1648]82  double GSLInterpolation::evaluate_derivative(double x)
83  {
[1650]84    gsl_status_=gsl_interp_eval_deriv_e(interpolator_, x_, y_, x, accelerator_,
85                                        &evaluation_);
86    return evaluation_;
[1648]87  }
88
89
90  double GSLInterpolation::evaluate_derivative2(double x)
91  {
[1650]92    gsl_status_=gsl_interp_eval_deriv2_e(interpolator_, x_, y_, x, accelerator_,
93                                         &evaluation_);
94    return evaluation_;
[1648]95  }
96
97
98  double GSLInterpolation::evaluate_integral(double a, double b)
99  {
[1650]100    gsl_status_=gsl_interp_eval_integ_e(interpolator_, x_, y_, a, b,
101                                        accelerator_, &evaluation_);
102    return evaluation_;
[1648]103  }
104
105
[1650]106  double GSLInterpolation::evaluation(void) const
107  {
108    return evaluation_;
109  }
110
111
[1648]112  unsigned int GSLInterpolation::min_size(void) const
113  {
114    return gsl_interp_min_size(interpolator_);
115  }
116
117
[681]118}}} // of namespaces regression, yat, and theplu
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