/*=========================================================================
 *
 *  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 itkEuclideanSquareDistanceMetric_hxx
#define itkEuclideanSquareDistanceMetric_hxx

#include "itkEuclideanSquareDistanceMetric.h"

namespace itk
{
namespace Statistics
{
template< typename TVector >
inline double
EuclideanSquareDistanceMetric< TVector >
::Evaluate(const MeasurementVectorType & x) const
{
  MeasurementVectorSizeType
    measurementVectorSize = this->GetMeasurementVectorSize();

  if ( measurementVectorSize == 0 )
    {
    itkExceptionMacro(<< "Please set the MeasurementVectorSize first");
    }
  MeasurementVectorTraits::Assert(
    this->GetOrigin(), measurementVectorSize,
    "EuclideanSquareDistanceMetric::Evaluate Origin and input vector have different lengths");

  double temp, distance = NumericTraits< double >::ZeroValue();

  for ( unsigned int i = 0; i < measurementVectorSize; i++ )
    {
    temp = this->GetOrigin()[i] - x[i];
    distance += temp * temp;
    }

  return distance;
}

template< typename TVector >
inline double
EuclideanSquareDistanceMetric< TVector >
::Evaluate(const MeasurementVectorType & x1, const MeasurementVectorType & x2) const
{
  MeasurementVectorSizeType measurementVectorSize =
    NumericTraits<MeasurementVectorType>::GetLength(x1);

  if ( measurementVectorSize != NumericTraits<MeasurementVectorType>::GetLength(x2) )
    {
    itkExceptionMacro(<< "EuclideanSquareDistanceMetric:: The two measurement vectors have unequal size");
    }

  double temp, distance = NumericTraits< double >::ZeroValue();
  for ( unsigned int i = 0; i < measurementVectorSize; i++ )
    {
    temp = x1[i] - x2[i];
    distance += temp * temp;
    }

  return distance;
}
} // end of namespace Statistics
} // end of namespace itk

#endif
