/usr/include/mia-2.2/mia/3d/matrix.hh is in libmia-2.2-dev 2.2.7-3.
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 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 | /* -*- mia-c++ -*-
*
* This file is part of MIA - a toolbox for medical image analysis
* Copyright (c) Leipzig, Madrid 1999-2015 Gert Wollny
*
* MIA 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.
*
* This program 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 MIA; if not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef __mia_3d_matrix_hh
#define __mia_3d_matrix_hh
#include <vector>
#include <memory>
#include <mia/3d/vector.hh>
#include <mia/core/msgstream.hh>
NS_MIA_BEGIN
/**
@ingroup basic
\brief a simple 3x3 matrix
This si a simple implementation of a 3x3 matrix that supports the evaluation of certain
properties and operations with vectors
\tparam T the data type of the elements of the matrix
*/
template <typename T>
class T3DMatrix: public T3DVector< T3DVector<T> > {
public:
T3DMatrix();
/**
Create a diagonal matrix
\param value the value to set the diagonal elements to
\returns a diagonal matrix with the gibe diagonal
*/
static T3DMatrix<T> diagonal(T value);
/**
Create a diagonal matrix
\param values the values to set the diagonal elements to a(0,0) = values.x, a(1,1) = values.y, ...
\returns a diagonal matrix with the gibe diagonal
*/
static T3DMatrix<T> diagonal(const T3DVector<T>& values);
/**
Construct a matrix by copying from a differenty typed matrix
\tparam I the element type of the original matrix
\param o the matrix to be copied
*/
template <typename I>
T3DMatrix(const T3DMatrix<I>& o);
/**
Construct the matrix by giving a 3D vector of 3D vectors
\remark This is needed to make transparent use of the T3DVector operators
\param other the input matrix
*/
T3DMatrix(const T3DVector< T3DVector<T> >& other);
/**
Construct the matrix by giving the rows as 3D vectors
\param x 1st row
\param y 2st row
\param z 3rd row
*/
T3DMatrix(const T3DVector< T >& x, const T3DVector< T >& y, const T3DVector< T >& z );
/**
inplace subtract
\param other
\returns
*/
T3DMatrix<T>& operator -= (const T3DMatrix<T>& other);
/**
print the matrix to an ostream
\param os the output stream
*/
void print( std::ostream& os) const;
/**
\returns the transposed of this matrix
*/
T3DMatrix<T> transposed()const;
/**
\returns the determinat of the matrix
*/
T get_det() const;
/**
\returns the rank of the matrix
*/
int get_rank()const;
/** calculated the eigenvalues of the matrix using the caracteristic polynome, and
Cardans formula
\retval result stores the three eigenvalues, interprete dependend on returns
\returns 1 one real, two complex eigenvalues, real part = result->y, imaginary part = result->z
2 three real eigenvalues, at least two are equal
3 three distinct real eigenvalues
*/
int get_eigenvalues(C3DFVector& v)const;
/** Calculate the eigenvector to a given eigenvalues. If the eigenvalue is complex, the
matrix has to be propagated to a complex one using the type converting copy constructor
\param i number of eigenvector
\returns the requested eigenvector
*/
C3DFVector get_eigenvector(int i)const;
/// The unity matrix
static const T3DMatrix _1;
/// The zero matrix
static const T3DMatrix _0;
private:
void evaluate_ev() const;
mutable int m_ev_type; // 0 = not valid
mutable C3DFVector m_evalues;
mutable std::vector<C3DFVector> m_evectors;
mutable std::vector<int> m_ev_order;
};
template <typename T>
template <typename I>
T3DMatrix<T>::T3DMatrix(const T3DMatrix<I>& o):
T3DVector<T3DVector<T> >(T3DVector<T>(o.x),
T3DVector<T>(o.y),
T3DVector<T>(o.z)),
m_ev_type(0)
{
}
template <typename T>
T3DVector<T> operator * (const T3DMatrix<T>& m, const T3DVector<T>& x)
{
return T3DVector<T>(dot(m.x, x), dot(m.y, x), dot(m.z, x));
}
template <typename T>
T3DVector<T> operator * (const T3DVector<T>& x, const T3DMatrix<T>& m )
{
return T3DVector<T>(m.x.x * x.x + m.y.x * x.y + m.z.x * x.z,
m.x.y * x.x + m.y.y * x.y + m.z.y * x.z,
m.x.z * x.x + m.y.z * x.y + m.z.z * x.z);
}
template <typename T>
std::ostream& operator << (std::ostream& os, const T3DMatrix<T>& m)
{
m.print(os);
return os;
}
template <typename T>
T3DMatrix<T>& T3DMatrix<T>::operator -= (const T3DMatrix<T>& o)
{
m_ev_type = 0;
this->x -= o.x;
this->y -= o.y;
this->z -= o.z;
return *this;
}
template <typename T>
T3DMatrix<T> operator * (const T3DMatrix<T>& m, const T3DMatrix<T>& x )
{
return T3DMatrix<T>(T3DVector<T>(m.x.x * x.x.x + m.x.y * x.y.x + m.x.z * x.z.x,
m.x.x * x.x.y + m.x.y * x.y.y + m.x.z * x.z.y,
m.x.x * x.x.z + m.x.y * x.y.z + m.x.z * x.z.z),
T3DVector<T>(m.y.x * x.x.x + m.y.y * x.y.x + m.y.z * x.z.x,
m.y.x * x.x.y + m.y.y * x.y.y + m.y.z * x.z.y,
m.y.x * x.x.z + m.y.y * x.y.z + m.y.z * x.z.z),
T3DVector<T>(m.z.x * x.x.x + m.z.y * x.y.x + m.z.z * x.z.x,
m.z.x * x.x.y + m.z.y * x.y.y + m.z.z * x.z.y,
m.z.x * x.x.z + m.z.y * x.y.z + m.z.z * x.z.z));
}
/// a simple 3x3 matrix with single precision floating point values
typedef T3DMatrix<float> C3DFMatrix;
/// a simple 3x3 matrix with double precision floating point values
typedef T3DMatrix<double> C3DDMatrix;
template <typename T>
const T3DMatrix<T> T3DMatrix<T>::_1(T3DVector< T >(1,0,0),
T3DVector< T >(0,1,0),
T3DVector< T >(0,0,1));
template <typename T>
const T3DMatrix<T> T3DMatrix<T>::_0 = T3DMatrix<T>();
extern template class EXPORT_3D T3DMatrix<float>;
extern template class EXPORT_3D T3DMatrix<double>;
NS_MIA_END
#endif
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