/usr/include/shogun/mathematics/ajd/FFDiag.h is in libshogun-dev 3.2.0-7.3build4.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | /*
* This program 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.
*
* Written (W) 2013 Kevin Hughes
*
* Thanks to Andreas Ziehe and Cedric Gouy-Pailler
*/
#ifndef FFDIAG_H_
#define FFDIAG_H_
#include <shogun/lib/config.h>
#ifdef HAVE_EIGEN3
#include <shogun/mathematics/ajd/ApproxJointDiagonalizer.h>
#include <shogun/mathematics/Math.h>
namespace shogun
{
/** @brief Class FFDiag
*
* An Approximate Joint Diagonalizer (AJD) Implementation
*
* Ziehe, A., Laskov, P., Nolte, G., & Mueller, K. R. (2004).
* A fast algorithm for joint diagonalization with non-orthogonal transformations
* and its application to blind source separation.
* The Journal of Machine Learning Research, 5, 777-800.
*
*/
class CFFDiag : public CApproxJointDiagonalizer
{
public:
/** constructor */
CFFDiag()
{
}
/** destructor */
virtual ~CFFDiag()
{
}
/** Computes the matrix V that best diagonalizes C
* @param C the set of matrices to be diagonalized
* @param V0 an estimate of the matrix V
* @param eps machine epsilon or desired epsilon
* @param itermax maximum number of iterations
* @return V the matrix that best diagonalizes C
*/
static SGMatrix<float64_t> diagonalize(SGNDArray<float64_t> C,
SGMatrix<float64_t> V0 = SGMatrix<float64_t>(NULL,0,0,false),
double eps=CMath::MACHINE_EPSILON,
int itermax=200);
/** Computes the matrix V that best diagonalizes C
* @param C the set of matrices to be diagonalized
* @param V0 an estimate of the matrix V
* @param eps machine epsilon or desired epsilon
* @param itermax maximum number of iterations
* @return V the matrix that best diagonalizes C
*/
virtual SGMatrix<float64_t> compute(SGNDArray<float64_t> C,
SGMatrix<float64_t> V0 = SGMatrix<float64_t>(NULL,0,0,false),
double eps=CMath::MACHINE_EPSILON,
int itermax=200)
{
m_V = diagonalize(C,V0,eps,itermax);
return m_V;
}
/** @return object name */
virtual const char* get_name() const { return "FFDiag"; }
};
}
#endif //HAVE_EIGEN3
#endif //FFDIAG_H_
|