source: src/Potentials/Specifics/PairPotential_Angle.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: 5.1 KB
Line 
1/*
2 * PairPotential_Angle.hpp
3 *
4 * Created on: Oct 11, 2012
5 * Author: heber
6 */
7
8#ifndef PAIRPOTENTIAL_ANGLE_HPP_
9#define PAIRPOTENTIAL_ANGLE_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 angle potential.
26 *
27 * This evaluates \f$ k \cdot (\theta -\theta_0)^2 \f$.
28 *
29 */
30class PairPotential_Angle :
31 public EmpiricalPotential
32{
33 //!> grant unit test access to internal parts
34 friend class PairPotential_AngleTest;
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_Angle(const ParticleTypes_t &_ParticleTypes);
43 PairPotential_Angle(
44 const ParticleTypes_t &_ParticleTypes,
45 const double _spring_constant,
46 const double _equilibrium_distance,
47 const double _energy_offset);
48 virtual ~PairPotential_Angle() {}
49
50 /** Setter for parameters as required by FunctionModel interface.
51 *
52 * \param _params given set of parameters
53 */
54 void setParameters(const parameters_t &_params);
55
56 /** Getter for parameters as required by FunctionModel interface.
57 *
58 * \return set of parameters
59 */
60 parameters_t getParameters() const
61 {
62 return params;
63 }
64
65 /** Sets the parameter randomly within the sensible range of each parameter.
66 *
67 * \param data container with training data for guesstimating range
68 */
69 void setParametersToRandomInitialValues(const TrainingData &data);
70
71 /** Getter for the number of parameters of this model function.
72 *
73 * \return number of parameters
74 */
75 size_t getParameterDimension() const
76 {
77 return 3;
78 }
79
80 /** Evaluates the harmonic potential function for the given arguments.
81 *
82 * @param arguments single distance
83 * @return value of the potential function
84 */
85 results_t operator()(const arguments_t &arguments) const;
86
87 /** Evaluates the derivative of the potential function.
88 *
89 * @param arguments single distance
90 * @return vector with derivative with respect to the input degrees of freedom
91 */
92 derivative_components_t derivative(const arguments_t &arguments) const;
93
94 /** Evaluates the derivative of the function with the given \a arguments
95 * with respect to a specific parameter indicated by \a index.
96 *
97 * \param arguments set of arguments as input variables to the function
98 * \param index derivative of which parameter
99 * \return result vector containing the derivative with respect to the given
100 * input
101 */
102 results_t parameter_derivative(const arguments_t &arguments, const size_t index) const;
103
104 /** Return the token name of this specific potential.
105 *
106 * \return token name of the potential
107 */
108 const std::string& getToken() const
109 { return potential_token; }
110
111 /** Returns a vector of parameter names.
112 *
113 * This is required from the specific implementation
114 *
115 * \return vector of strings containing parameter names
116 */
117 const ParameterNames_t& getParameterNames() const
118 { return ParameterNames; }
119
120 /** States whether lower and upper boundaries should be used to constraint
121 * the parameter search for this function model.
122 *
123 * \return true - constraints should be used, false - else
124 */
125 bool isBoxConstraint() const {
126 return true;
127 }
128
129 /** Returns a vector which are the lower boundaries for each parameter_t
130 * of this FunctionModel.
131 *
132 * \return vector of parameter_t resembling lowest allowed values
133 */
134 parameters_t getLowerBoxConstraints() const {
135 parameters_t lowerbounds(getParameterDimension(), -std::numeric_limits<double>::max());
136 lowerbounds[equilibrium_distance] = -1.;
137 return lowerbounds;
138 }
139
140 /** Returns a vector which are the upper boundaries for each parameter_t
141 * of this FunctionModel.
142 *
143 * \return vector of parameter_t resembling highest allowed values
144 */
145 parameters_t getUpperBoxConstraints() const {
146 parameters_t upperbounds(getParameterDimension(), std::numeric_limits<double>::max());
147 upperbounds[equilibrium_distance] = 1.;
148 return upperbounds;
149 }
150
151 /** Returns a bound function to be used with TrainingData, extracting distances
152 * from a Fragment.
153 *
154 * \return bound function extracting distances from a fragment
155 */
156 FunctionModel::extractor_t getFragmentSpecificExtractor() const;
157
158 enum parameter_enum_t {
159 spring_constant=0,
160 equilibrium_distance=1,
161 energy_offset=2,
162 MAXPARAMS
163 };
164
165private:
166 result_t
167 function_theta(
168 const double &r_ij,
169 const double &r_ik,
170 const double &r_jk
171 ) const;
172private:
173 //!> parameter vector with parameters as in enum parameter_enum_t
174 parameters_t params;
175
176 //!> static definitions of the parameter name for this potential
177 static const ParameterNames_t ParameterNames;
178
179 //!> static token of this potential type
180 static const std::string potential_token;
181};
182
183#endif /* PAIRPOTENTIAL_ANGLE_HPP_ */
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