source: trunk/yat/regression/GSLInterpolation.cc @ 1648

// $Id: GSLInterpolation.cc 1648 2008-12-13 09:28:39Z jari $

/*
  Copyright (C) 2008 Jari Häkkinen

  This file is part of the yat library, http://dev.thep.lu.se/yat

  The yat library is free software; you can redistribute it and/or
  modify it under the terms of the GNU General Public License as
  published by the Free Software Foundation; either version 3 of the
  License, or (at your option) any later version.

  The yat library is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
  General Public License for more details.

  You should have received a copy of the GNU General Public License
  along with yat. If not, see <http://www.gnu.org/licenses/>.
*/

#include "GSLInterpolation.h"

#include "yat/utility/VectorBase.h"

#include <cassert>

namespace theplu {
namespace yat {
namespace regression {


  GSLInterpolation::GSLInterpolation(const gsl_interp_type* interpolator_type,
                                     const utility::VectorBase& x,
                                     const utility::VectorBase& y)
  {
    assert(x.size()==y.size());
    size_t size=x.size();
    x_=new double[size];
    y_=new double[size];
    for (size_t i=0; i<size; ++i) {
      x_[i]=x(i);
      y_[i]=y(i);
    }
    interpolator_ = gsl_interp_alloc(interpolator_type, size);
    gsl_interp_init(interpolator_, x_, y_, size);
    accelerator_ = gsl_interp_accel_alloc();
  }


  GSLInterpolation::~GSLInterpolation(void)
  {
    gsl_interp_free(interpolator_);
    gsl_interp_accel_free(accelerator_);
    delete x_;
    delete y_;
  }


  size_t GSLInterpolation::bsearch(const double x_array[], double x,
                                   size_t index_lo, size_t index_hi) const
  {
    return gsl_interp_bsearch(x_array, x, index_lo, index_hi);
  }


  double GSLInterpolation::evaluate(double x)
  { 
    return gsl_interp_eval(interpolator_, x_, y_, x, accelerator_);
  }


  double GSLInterpolation::evaluate_derivative(double x)
  {
    return gsl_interp_eval_deriv(interpolator_, x_, y_, x, accelerator_);
  }


  double GSLInterpolation::evaluate_derivative2(double x)
  {
    return gsl_interp_eval_deriv2(interpolator_, x_, y_, x, accelerator_);
  }


  double GSLInterpolation::evaluate_integral(double a, double b)
  {
    return gsl_interp_eval_integ(interpolator_, x_, y_, a, b, accelerator_);
  }


  unsigned int GSLInterpolation::min_size(void) const
  {
    return gsl_interp_min_size(interpolator_);
  }


}}} // of namespaces regression, yat, and theplu