source: src/Potentials/Specifics/PairPotential_Morse.hpp@ fdd23a

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Last change on this file since fdd23a was fdd23a, checked in by Frederik Heber <heber@…>, 12 years ago

EmpiricalPotential now inherits/combines FunctionModel, SerializablePotential.

  • Property mode set to 100644
File size: 5.0 KB
Line 
1/*
2 * PairPotential_Morse.hpp
3 *
4 * Created on: Oct 03, 2012
5 * Author: heber
6 */
7
8#ifndef PAIRPOTENTIAL_MORSE_HPP_
9#define PAIRPOTENTIAL_MORSE_HPP_
10
11
12// include config.h
13#ifdef HAVE_CONFIG_H
14#include <config.h>
15#endif
16
17#include <limits>
18
19#include "CodePatterns/Assert.hpp"
20
21#include "Potentials/EmpiricalPotential.hpp"
22
23class TrainingData;
24
25/** This is the implementation of a harmonic pair potential.
26 *
27 * This evaluates \f$ k \cdot (r -r_0)^2 \f$.
28 *
29 */
30class PairPotential_Morse :
31 public EmpiricalPotential
32{
33 //!> grant unit test access to internal parts
34 friend class PairPotential_MorseTest;
35 // some repeated typedefs to avoid ambiguities
36 typedef FunctionModel::arguments_t arguments_t;
37 typedef FunctionModel::result_t result_t;
38 typedef FunctionModel::results_t results_t;
39 typedef EmpiricalPotential::derivative_components_t derivative_components_t;
40 typedef FunctionModel::parameters_t parameters_t;
41public:
42 PairPotential_Morse(const ParticleTypes_t &_ParticleTypes);
43 PairPotential_Morse(
44 const ParticleTypes_t &_ParticleTypes,
45 const double _spring_constant,
46 const double _equilibrium_distance,
47 const double _dissociation_energy,
48 const double _energy_offset);
49 virtual ~PairPotential_Morse() {}
50
51 /** Setter for parameters as required by FunctionModel interface.
52 *
53 * \param _params given set of parameters
54 */
55 void setParameters(const parameters_t &_params);
56
57 /** Getter for parameters as required by FunctionModel interface.
58 *
59 * \return set of parameters
60 */
61 parameters_t getParameters() const
62 {
63 return params;
64 }
65
66 /** Sets the parameter randomly within the sensible range of each parameter.
67 *
68 * \param data container with training data for guesstimating range
69 */
70 void setParametersToRandomInitialValues(const TrainingData &data);
71
72 /** Getter for the number of parameters of this model function.
73 *
74 * \return number of parameters
75 */
76 size_t getParameterDimension() const
77 {
78 return 4;
79 }
80
81 /** Evaluates the harmonic potential function for the given arguments.
82 *
83 * @param arguments single distance
84 * @return value of the potential function
85 */
86 results_t operator()(const arguments_t &arguments) const;
87
88 /** Evaluates the derivative of the potential function.
89 *
90 * @param arguments single distance
91 * @return vector with derivative with respect to the input degrees of freedom
92 */
93 derivative_components_t derivative(const arguments_t &arguments) const;
94
95 /** Evaluates the derivative of the function with the given \a arguments
96 * with respect to a specific parameter indicated by \a index.
97 *
98 * \param arguments set of arguments as input variables to the function
99 * \param index derivative of which parameter
100 * \return result vector containing the derivative with respect to the given
101 * input
102 */
103 results_t parameter_derivative(const arguments_t &arguments, const size_t index) const;
104
105 /** Return the token name of this specific potential.
106 *
107 * \return token name of the potential
108 */
109 const std::string& getToken() const
110 { return potential_token; }
111
112 /** Returns a vector of parameter names.
113 *
114 * This is required from the specific implementation
115 *
116 * \return vector of strings containing parameter names
117 */
118 const ParameterNames_t& getParameterNames() const
119 { return ParameterNames; }
120
121 /** States whether lower and upper boundaries should be used to constraint
122 * the parameter search for this function model.
123 *
124 * \return true - constraints should be used, false - else
125 */
126 bool isBoxConstraint() const {
127 return true;
128 }
129
130 /** Returns a vector which are the lower boundaries for each parameter_t
131 * of this FunctionModel.
132 *
133 * \return vector of parameter_t resembling lowest allowed values
134 */
135 parameters_t getLowerBoxConstraints() const {
136 parameters_t lowerbound(getParameterDimension(), -std::numeric_limits<double>::max());
137 lowerbound[equilibrium_distance] = 0.;
138 return lowerbound;
139 }
140
141 /** Returns a vector which are the upper boundaries for each parameter_t
142 * of this FunctionModel.
143 *
144 * \return vector of parameter_t resembling highest allowed values
145 */
146 parameters_t getUpperBoxConstraints() const {
147 return parameters_t(getParameterDimension(), std::numeric_limits<double>::max());
148 }
149
150 /** Returns a bound function to be used with TrainingData, extracting distances
151 * from a Fragment.
152 *
153 * \return bound function extracting distances from a fragment
154 */
155 FunctionModel::extractor_t getFragmentSpecificExtractor() const;
156
157 enum parameter_enum_t {
158 spring_constant=0,
159 equilibrium_distance=1,
160 dissociation_energy=2,
161 energy_offset=3,
162 MAXPARAMS
163 };
164
165private:
166 //!> parameter vector with parameters as in enum parameter_enum_t
167 parameters_t params;
168
169 //!> static definitions of the parameter name for this potential
170 static const ParameterNames_t ParameterNames;
171
172 //!> static token of this potential type
173 static const std::string potential_token;
174};
175
176#endif /* PAIRPOTENTIAL_MORSE_HPP_ */
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