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📄 diracpdf.hpp

📁 dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical
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#ifndef INDII_ML_AUX_DIRACPDF_HPP#define INDII_ML_AUX_DIRACPDF_HPP#include "Pdf.hpp"namespace indii {  namespace ml {    namespace aux {/** * Dirac \f$\delta\f$-function probability density. * * @author Lawrence Murray <lawrence@indii.org> * @version $Rev: 570 $ * @date $Date: 2008-09-16 16:49:33 +0100 (Tue, 16 Sep 2008) $ * * Supports serialization through the Boost.Serialization library. */class DiracPdf : public Pdf, public vector {public:  /**   * Default constructor.   *   * Initialises the Dirac with zero dimensions. This should generally   * only be used when the object is to be restored from a   * serialization. Indeed, there is no other way to resize the Dirac   * to nonzero dimensionality except by subsequently restoring from a   * serialization.   */  DiracPdf();  /**   * Constructor.   *   * @param x The expectation of the Dirac.   */  DiracPdf(const vector& x);  /**   * Construct Dirac given dimensionality. The expectation remains   * uninitialised, and should be set with setExpectation().   *   * @param N \f$N\f$; number of dimensions of the Dirac.   */  DiracPdf(unsigned int N);  /**   * Destructor.   */  virtual ~DiracPdf();  virtual void setDimensions(const unsigned int N,      const bool preserve = false);  /**   * Get the expected value of the Dirac.   *   * @return \f$\mathbf{\mu}\f$; expected value of the Dirac.   */  virtual const vector& getExpectation() const;  /**   * (Don't) get the covariance of the Dirac.   *   * @return \f$\mathbf{\Sigma}\f$; covariance of the Dirac.   */  virtual const symmetric_matrix& getCovariance() const;  virtual const vector& getExpectation();  virtual const symmetric_matrix& getCovariance();  virtual vector sample();  virtual double densityAt(const vector& x);private:  /**   * 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"inline const indii::ml::aux::vector&    indii::ml::aux::DiracPdf::getExpectation() const {  return *this;}inline const indii::ml::aux::vector&    indii::ml::aux::DiracPdf::getExpectation() {  return *this;}inline indii::ml::aux::vector indii::ml::aux::DiracPdf::sample() {  return *this;}inline double indii::ml::aux::DiracPdf::densityAt(const vector& x) {  if (norm_inf(*this - x) == 0.0) {    return std::numeric_limits<double>::infinity();  } else {    return 0.0;  }}template<class Archive>void indii::ml::aux::DiracPdf::serialize(Archive& ar,    const unsigned int version) {  ar & boost::serialization::base_object<indii::ml::aux::Pdf>(*this);  ar & boost::serialization::base_object<indii::ml::aux::vector>(*this);}#endif

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