source: src/Potentials/Specifics/PairPotential_Morse.hpp@ 16227a

/*
 * PairPotential_Morse.hpp
 *
 *  Created on: Oct 03, 2012
 *      Author: heber
 */

#ifndef PAIRPOTENTIAL_MORSE_HPP_
#define PAIRPOTENTIAL_MORSE_HPP_


// include config.h
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif

#include <limits>

#include "Potentials/EmpiricalPotential.hpp"

class PotentialFactory;
class TrainingData;

/** This is the implementation of a harmonic pair potential.
 *
 * This evaluates \f$ k \cdot (r -r_0)^2 \f$.
 *
 */
class PairPotential_Morse :
  public EmpiricalPotential
{
  //!> grant unit test access to internal parts
  friend class PairPotential_MorseTest;
  //!> grant PotentialFactory access to default cstor
  friend class PotentialFactory;
  // some repeated typedefs to avoid ambiguities
  typedef FunctionModel::arguments_t arguments_t;
  typedef FunctionModel::result_t result_t;
  typedef FunctionModel::results_t results_t;
  typedef EmpiricalPotential::derivative_components_t derivative_components_t;
  typedef FunctionModel::parameters_t parameters_t;
private:
  /** Private default constructor.
   *
   * This prevents creation of potential without set ParticleTypes_t.
   *
   * \note PotentialFactory may use this default cstor
   *
   */
  PairPotential_Morse();

public:
  PairPotential_Morse(const ParticleTypes_t &_ParticleTypes);
  PairPotential_Morse(
      const ParticleTypes_t &_ParticleTypes,
      const double _spring_constant,
      const double _equilibrium_distance,
      const double _dissociation_energy);
  virtual ~PairPotential_Morse() {}

  /** Setter for parameters as required by FunctionModel interface.
   *
   * \param _params given set of parameters
   */
  void setParameters(const parameters_t &_params);

  /** Getter for parameters as required by FunctionModel interface.
   *
   * \return set of parameters
   */
  parameters_t getParameters() const
  {
    return params;
  }

  /** Sets the parameter randomly within the sensible range of each parameter.
   *
   * \param data container with training data for guesstimating range
   */
  void setParametersToRandomInitialValues(const TrainingData &data);

  /** Getter for the number of parameters of this model function.
   *
   * \return number of parameters
   */
  size_t getParameterDimension() const
  {
    return MAXPARAMS;
  }

  /** Evaluates the harmonic potential function for the given arguments.
   *
   * @param arguments single distance
   * @return value of the potential function
   */
  results_t operator()(const arguments_t &arguments) const;

  /** Evaluates the derivative of the potential function.
   *
   * @param arguments single distance
   * @return vector with derivative with respect to the input degrees of freedom
   */
  derivative_components_t derivative(const arguments_t &arguments) const;

  /** Evaluates the derivative of the function with the given \a arguments
   * with respect to a specific parameter indicated by \a index.
   *
   * \param arguments set of arguments as input variables to the function
   * \param index derivative of which parameter
   * \return result vector containing the derivative with respect to the given
   *         input
   */
  results_t parameter_derivative(const arguments_t &arguments, const size_t index) const;

  /** Returns the functor that converts argument_s into the
   * internal coordinate described by this potential function.
   *
   * \return coordinator functor
   */
  Coordinator::ptr getCoordinator() const
  { return coordinator; }

  /** Return the token name of this specific potential.
   *
   * \return token name of the potential
   */
  const std::string& getToken() const
  { return potential_token; }

  /** Returns a vector of parameter names.
   *
   * This is required from the specific implementation
   *
   * \return vector of strings containing parameter names
   */
  const ParameterNames_t& getParameterNames() const
  { return ParameterNames; }

  /** States whether lower and upper boundaries should be used to constraint
   * the parameter search for this function model.
   *
   * \return true - constraints should be used, false - else
   */
  bool isBoxConstraint() const {
    return true;
  }

  /** Returns a vector which are the lower boundaries for each parameter_t
   * of this FunctionModel.
   *
   * \return vector of parameter_t resembling lowest allowed values
   */
  parameters_t getLowerBoxConstraints() const {
    parameters_t lowerbound(getParameterDimension(), -std::numeric_limits<double>::max());
    lowerbound[equilibrium_distance] = 0.;
    return lowerbound;
  }

  /** Returns a vector which are the upper boundaries for each parameter_t
   * of this FunctionModel.
   *
   * \return vector of parameter_t resembling highest allowed values
   */
  parameters_t getUpperBoxConstraints() const {
    return parameters_t(getParameterDimension(), std::numeric_limits<double>::max());
  }

  /** Returns a bound function to be used with TrainingData, extracting distances
   * from a Fragment.
   *
   * \return bound function extracting distances from a fragment
   */
  FunctionModel::filter_t getSpecificFilter() const;

  /** Returns the number of arguments the underlying function requires.
   *
   * \return number of arguments of the function
   */
  size_t getSpecificArgumentCount() const
  { return 1; }

  enum parameter_enum_t {
    spring_constant=0,
    equilibrium_distance=1,
    dissociation_energy=2,
    MAXPARAMS
  };

private:
  //!> parameter vector with parameters as in enum parameter_enum_t
  parameters_t params;

  //!> static definitions of the parameter name for this potential
  static const ParameterNames_t ParameterNames;

  //!> static token of this potential type
  static const std::string potential_token;

  //!> internal coordinator object for converting arguments_t
  static Coordinator::ptr coordinator;
};

#endif /* PAIRPOTENTIAL_MORSE_HPP_ */