libinsighttoolkit4-dev 4.9.0-4ubuntu1 / usr / include / ITK-4.9 / itkSymmetricSecondRankTensor.hxx

/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  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.txt
 *
 *  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 itkSymmetricSecondRankTensor_hxx
#define itkSymmetricSecondRankTensor_hxx

#include "itkNumericTraitsTensorPixel.h"

namespace itk
{
/**
 * Assignment Operator from a scalar constant
 */
template< typename T, unsigned int NDimension >
SymmetricSecondRankTensor< T, NDimension > &
SymmetricSecondRankTensor< T, NDimension >
::operator=(const ComponentType & r)
{
  BaseArray::operator=(&r);
  return *this;
}

/**
 * Assigment from a plain array
 */
template< typename T, unsigned int NDimension >
SymmetricSecondRankTensor< T, NDimension > &
SymmetricSecondRankTensor< T, NDimension >
::operator=(const ComponentArrayType r)
{
  BaseArray::operator=(r);
  return *this;
}

/**
 * Returns a temporary copy of a vector
 */
template< typename T, unsigned int NDimension >
SymmetricSecondRankTensor< T, NDimension >
SymmetricSecondRankTensor< T, NDimension >
::operator+(const Self & r) const
{
  Self result;

  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    result[i] = ( *this )[i] + r[i];
    }
  return result;
}

/**
 * Returns a temporary copy of a vector
 */
template< typename T, unsigned int NDimension >
SymmetricSecondRankTensor< T, NDimension >
SymmetricSecondRankTensor< T, NDimension >
::operator-(const Self & r) const
{
  Self result;

  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    result[i] = ( *this )[i] - r[i];
    }
  return result;
}

/**
 * Performs addition in place
 */
template< typename T, unsigned int NDimension >
const SymmetricSecondRankTensor< T, NDimension > &
SymmetricSecondRankTensor< T, NDimension >
::operator+=(const Self & r)
{
  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    ( *this )[i] += r[i];
    }
  return *this;
}

/**
 * Performs subtraction in place
 */
template< typename T, unsigned int NDimension >
const SymmetricSecondRankTensor< T, NDimension > &
SymmetricSecondRankTensor< T, NDimension >
::operator-=(const Self & r)
{
  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    ( *this )[i] -= r[i];
    }
  return *this;
}

/**
 * Performs multiplication by a scalar, in place
 */
template< typename T, unsigned int NDimension >
const SymmetricSecondRankTensor< T, NDimension > &
SymmetricSecondRankTensor< T, NDimension >
::operator*=(const RealValueType & r)
{
  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    ( *this )[i] *= r;
    }
  return *this;
}

/**
 * Performs division by a scalar, in place
 */
template< typename T, unsigned int NDimension >
const SymmetricSecondRankTensor< T, NDimension > &
SymmetricSecondRankTensor< T, NDimension >
::operator/=(const RealValueType & r)
{
  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    ( *this )[i] /= r;
    }
  return *this;
}

/**
 * Performs multiplication with a scalar
 */
template< typename T, unsigned int NDimension >
SymmetricSecondRankTensor< T, NDimension >
SymmetricSecondRankTensor< T, NDimension >
::operator*(const RealValueType & r) const
{
  Self result;

  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    result[i] = ( *this )[i] * r;
    }
  return result;
}

/**
 * Performs division by a scalar
 */
template< typename T, unsigned int NDimension >
SymmetricSecondRankTensor< T, NDimension >
SymmetricSecondRankTensor< T, NDimension >
::operator/(const RealValueType & r) const
{
  Self result;

  for ( unsigned int i = 0; i < InternalDimension; i++ )
    {
    result[i] = ( *this )[i] / r;
    }
  return result;
}

/**
 * Matrix notation access to elements
 */
template< typename T, unsigned int NDimension >
const typename SymmetricSecondRankTensor< T, NDimension >::ValueType &
SymmetricSecondRankTensor< T, NDimension >
::operator()(unsigned int row, unsigned int col) const
{
  unsigned int k;

  if ( row < col )
    {
    k = row * Dimension + col - row * ( row + 1 ) / 2;
    }
  else
    {
    k = col * Dimension + row - col * ( col + 1 ) / 2;
    }

  if ( k >= InternalDimension )
    {
    k = 0;
    }

  return ( *this )[k];
}

/**
 * Matrix notation access to elements
 */
template< typename T, unsigned int NDimension >
typename SymmetricSecondRankTensor< T, NDimension >::ValueType &
SymmetricSecondRankTensor< T, NDimension >
::operator()(unsigned int row, unsigned int col)
{
  unsigned int k;

  if ( row < col )
    {
    k = row * Dimension + col - row * ( row + 1 ) / 2;
    }
  else
    {
    k = col * Dimension + row - col * ( col + 1 ) / 2;
    }

  if ( k >= InternalDimension )
    {
    k = 0;
    }

  return ( *this )[k];
}

/**
 * Set the Tensor to an Identity.
 * Set ones in the diagonal and zeroes every where else.
 */
template< typename T, unsigned int NDimension >
void
SymmetricSecondRankTensor< T, NDimension >
::SetIdentity()
{
  this->Fill(NumericTraits< T >::ZeroValue());
  for ( unsigned int i = 0; i < Dimension; i++ )
    {
    ( *this )( i, i ) = NumericTraits< T >::OneValue();
    }
}

/**
 * Get the Trace
 */
template< typename T, unsigned int NDimension >
typename SymmetricSecondRankTensor< T, NDimension >::AccumulateValueType
SymmetricSecondRankTensor< T, NDimension >
::GetTrace() const
{
  AccumulateValueType trace = NumericTraits< AccumulateValueType >::ZeroValue();
  unsigned int        k = 0;

  for ( unsigned int i = 0; i < Dimension; i++ )
    {
    trace += ( *this )[k];
    k += ( Dimension - i );
    }
  return trace;
}

/**
 * Compute Eigen Values
 */
template< typename T, unsigned int NDimension >
void
SymmetricSecondRankTensor< T, NDimension >
::ComputeEigenValues(EigenValuesArrayType & eigenValues) const
{
  SymmetricEigenAnalysisType symmetricEigenSystem = SymmetricEigenAnalysisType(Dimension);

  MatrixType tensorMatrix;

  for ( unsigned int row = 0; row < Dimension; row++ )
    {
    for ( unsigned int col = 0; col < Dimension; col++ )
      {
      tensorMatrix[row][col] = ( *this )( row, col );
      }
    }

  symmetricEigenSystem.ComputeEigenValues(tensorMatrix, eigenValues);
}

/**
 * Compute Eigen analysis, it returns an array with eigen values
 * and a Matrix with eigen vectors
 */
template< typename T, unsigned int NDimension >
void
SymmetricSecondRankTensor< T, NDimension >
::ComputeEigenAnalysis(EigenValuesArrayType & eigenValues,
                       EigenVectorsMatrixType & eigenVectors) const
{
  SymmetricEigenAnalysisType symmetricEigenSystem = SymmetricEigenAnalysisType(Dimension);

  MatrixType tensorMatrix;

  for ( unsigned int row = 0; row < Dimension; row++ )
    {
    for ( unsigned int col = 0; col < Dimension; col++ )
      {
      tensorMatrix[row][col] = ( *this )( row, col );
      }
    }

  symmetricEigenSystem.ComputeEigenValuesAndVectors(
    tensorMatrix, eigenValues, eigenVectors);
}

/**
 * Set the Tensor to a Rotated version of the current tensor.
 * matrix * self * Transpose(matrix)
 *
 */
template<typename T,unsigned int NDimension>
template <typename TMatrixValueType>
SymmetricSecondRankTensor<T,NDimension>
SymmetricSecondRankTensor<T,NDimension>
::Rotate( const Matrix<TMatrixValueType, NDimension, NDimension> & m ) const
{
  Self result;
  typedef Matrix<double, NDimension, NDimension> RotationMatrixType;
  RotationMatrixType SCT; //self * Transpose(m)
  for(unsigned int r=0; r<NDimension; r++)
  {
    for(unsigned int c=0; c<NDimension; c++)
    {
      double sum = 0.0;
      for(unsigned int t=0; t<NDimension; t++)
      {
        sum += (*this)(r,t) * m(c,t);
      }
      SCT(r,c) = sum;
    }
  }
  //self = m * sct;
  for(unsigned int r=0; r<NDimension; r++)
  {
    for(unsigned int c=0; c<NDimension; c++)
    {
      double sum = 0.0;
      for(unsigned int t=0; t<NDimension; t++)
      {
        sum += m(r,t) * SCT(t,c);
      }
      (result)(r,c) = static_cast<T>( sum );
    }
  }
  return result;
}

/**
 * Pre-multiply the Tensor by a Matrix
 */
template< typename T, unsigned int NDimension >
typename SymmetricSecondRankTensor< T, NDimension >::MatrixType
SymmetricSecondRankTensor< T, NDimension >
::PreMultiply(const MatrixType & m) const
{
  MatrixType result;

  typedef typename NumericTraits< T >::AccumulateType AccumulateType;
  for ( unsigned int r = 0; r < NDimension; r++ )
    {
    for ( unsigned int c = 0; c < NDimension; c++ )
      {
      AccumulateType sum = NumericTraits< AccumulateType >::ZeroValue();
      for ( unsigned int t = 0; t < NDimension; t++ )
        {
        sum += m(r, t) * ( *this )( t, c );
        }
      result(r, c) = static_cast< T >( sum );
      }
    }
  return result;
}

/**
 * Post-multiply the Tensor by a Matrix
 */
template< typename T, unsigned int NDimension >
typename SymmetricSecondRankTensor< T, NDimension >::MatrixType
SymmetricSecondRankTensor< T, NDimension >
::PostMultiply(const MatrixType & m) const
{
  MatrixType result;

  typedef typename NumericTraits< T >::AccumulateType AccumulateType;
  for ( unsigned int r = 0; r < NDimension; r++ )
    {
    for ( unsigned int c = 0; c < NDimension; c++ )
      {
      AccumulateType sum = NumericTraits< AccumulateType >::ZeroValue();
      for ( unsigned int t = 0; t < NDimension; t++ )
        {
        sum += ( *this )( r, t ) * m(t, c);
        }
      result(r, c) = static_cast< T >( sum );
      }
    }
  return result;
}

/**
 * Print content to an ostream
 */
template< typename T, unsigned int NDimension >
std::ostream &
operator<<(std::ostream & os, const SymmetricSecondRankTensor< T, NDimension > & c)
{
  for ( unsigned int i = 0; i < c.GetNumberOfComponents(); i++ )
    {
    os <<  static_cast< typename NumericTraits< T >::PrintType >( c[i] ) << "  ";
    }
  return os;
}

/**
 * Read content from an istream
 */
template< typename T, unsigned int NDimension >
std::istream &
operator>>(std::istream & is, SymmetricSecondRankTensor< T, NDimension > & dt)
{
  for ( unsigned int i = 0; i < dt.GetNumberOfComponents(); i++ )
    {
    is >> dt[i];
    }
  return is;
}
} // end namespace itk

#endif