kdtreeleafnode.hpp

dysii是一款非常出色的滤波函数库

#ifndef INDII_ML_AUX_KDTREELEAFNODE_HPP
#define INDII_ML_AUX_KDTREELEAFNODE_HPP

#include "KDTreeNode.hpp"
#include "DiracMixturePdf.hpp"

namespace indii {
  namespace ml {
    namespace aux {
/**
 * Leaf node of a KD-tree.
 *
 * @author Lawrence Murray <[e-mail]>
 * @version $Rev: 404 $
 * @date $Date: 2008-03-05 14:52:55 +0000 (Wed, 05 Mar 2008) $
 *
 * @param P Degree of the normed vector space (as in \f$\|\cdot\|_p\f$) on
 * which the tree is defined.
 *
 * @section PartitionTreeInternal_serialization Serialization
 *
 * This class supports serialization through the Boost.Serialization
 * library.
 */
class KDTreeLeafNode : public KDTreeNode {
public:
  /**
   * Default constructor.
   *
   * This should generally only be used when the object is to be
   * restored from a serialization.
   */
  KDTreeLeafNode();

  /**
   * Constructor.
   *
   * @param x Sample point.
   * @param w Weight.
   */
  KDTreeLeafNode(const vector& x, const double w);

  /**
   * Destructor.
   */
  virtual ~KDTreeLeafNode();

  virtual double getWeight();

  virtual vector& getLower();

  virtual vector& getUpper();

  virtual vector nearestTo(const vector& x);

  virtual double densityAt(const vector& x, Norm& N, Kernel& K);

  virtual vector sample(const double u, Norm& N, Kernel& K);
  
private:
  /**
   * The point.
   */
  vector x;
  
  /**
   * The weight.
   */
  double w;

  /**
   * Serialize, or restore from serialization.
   */
  template<class Archive>
  void serialize(Archive& ar, const unsigned int version);

  /*
   * Boost.Serialization requirements.
   */
  friend class boost::serialization::access;

};

    }
  }
}

#include "boost/serialization/base_object.hpp"

template<class Archive>
void indii::ml::aux::KDTreeLeafNode::serialize(Archive& ar,
    const unsigned int version) {
  ar & boost::serialization::base_object<KDTreeNode>(*this);
  ar & x;
  ar & w;
}

#endif