/usr/include/votca/tools/crosscorrelate.h is in libvotca-tools-dev 1.3.0-2+b2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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* Copyright 2009-2011 The VOTCA Development Team (http://www.votca.org)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
#ifndef _crosscorrelate_H
#define _crosscorrelate_H
#include <vector>
#include <iostream>
#include "datacollection.h"
namespace votca { namespace tools {
using namespace std;
/**
\brief class to calculate cross correlkations and autocorrelations
This class is relatively outdated and only used in csg_boltzmann!
\todo implementation
*/
class CrossCorrelate
{
public:
/// constructor
CrossCorrelate() {};
/// destructor
~CrossCorrelate() {};
/**
calculate the cross correlation
*/
//void CrossCorrelate(DataCollection<double>::selection *data1,
// DataCollection<double>::selection *data2, bool average = false);
/**
calculate the auto correlation
*/
void AutoCorrelate(DataCollection<double>::selection *data, bool average = false);
// Calculates only the Fourier trafo
void FFTOnly(vector <double>& ivec);
// Calculates only the Discrete Cosine trafo
void DCTOnly(vector <double>& ivec);
// Calculates Fourier trafo and then auto correlation
void AutoFourier(vector <double>& ivec);
// Calculates Discrete Cosine trafo and then auto correlation
void AutoCosine(vector <double>& ivec);
// Calculates auto correlation via two Fourier trafos
void AutoCorr(vector <double>& ivec);
vector<double> &getData() { return _corrfunc; }
private:
vector<double> _corrfunc;
};
inline ostream& operator<<(ostream& out, CrossCorrelate &c)
{
vector<double> &data = c.getData();
for(size_t i=0; i<data.size(); i++) {
out << i << " " << c.getData()[i] << endl;
}
return out;
}
}}
#endif /* _crosscorrelate_H */
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