source: src/Potentials/Specifics/PairPotential_Harmonic.hpp@ 35d171

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Last change on this file since 35d171 was e1fe7e, checked in by Frederik Heber <heber@…>, 11 years ago

FunctionModel now uses list_of_arguments to split sequence of subsets of distances.

  • this fixes ambiguities with the set of distances: Imagine the distances within a water molecule as OH (A) and HH (B). We then may have a sequence of argument_t as AABAAB. And with the current implementation of CompoundPotential::splitUpArgumentsByModels() we would always choose the latter (and more complex) model. Hence, we make two calls to TriplePotential_Angle, instead of calls twice to PairPotential_Harmonic for A, one to PairPotential_Harmonic for B, and once to TriplePotential_Angle for AAB.
  • now, we new list looks like A,A,B,AAB where each tuple of distances can be uniquely associated with a specific potential.
  • changed signatures of EmpiricalPotential::operator(), ::derivative(), ::parameter_derivative(). This involved changing all of the current specific potentials and CompoundPotential.
  • TrainingData must discern between the InputVector_t (just all distances) and the FilteredInputVector_t (tuples of subsets of distances).
  • FunctionApproximation now has list_of_arguments_t as parameter to evaluate() and evaluate_derivative().
  • DOCU: docu change in TrainingData.
  • Property mode set to 100644
File size: 5.8 KB
Line 
1/*
2 * PairPotential_Harmonic.hpp
3 *
4 * Created on: Sep 26, 2012
5 * Author: heber
6 */
7
8#ifndef PAIRPOTENTIAL_HARMONIC_HPP_
9#define PAIRPOTENTIAL_HARMONIC_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 "Potentials/EmpiricalPotential.hpp"
20
21class PotentialFactory;
22class TrainingData;
23
24/** This is the implementation of a harmonic pair potential.
25 *
26 * This evaluates \f$ k \cdot (r -r_0)^2 \f$.
27 *
28 */
29class PairPotential_Harmonic :
30 public EmpiricalPotential
31{
32 //!> grant unit test access to internal parts
33 friend class PairPotential_HarmonicTest;
34 //!> grant PotentialFactory access to default cstor
35 friend class PotentialFactory;
36 // some repeated typedefs to avoid ambiguities
37 typedef FunctionModel::list_of_arguments_t list_of_arguments_t;
38 typedef FunctionModel::arguments_t arguments_t;
39 typedef FunctionModel::result_t result_t;
40 typedef FunctionModel::results_t results_t;
41 typedef EmpiricalPotential::derivative_components_t derivative_components_t;
42 typedef FunctionModel::parameters_t parameters_t;
43private:
44 /** Private default constructor.
45 *
46 * This prevents creation of potential without set ParticleTypes_t.
47 *
48 * \note PotentialFactory may use this default cstor
49 *
50 */
51 PairPotential_Harmonic();
52
53public:
54 PairPotential_Harmonic(const ParticleTypes_t &_ParticleTypes);
55 PairPotential_Harmonic(
56 const ParticleTypes_t &_ParticleTypes,
57 const double _spring_constant,
58 const double _equilibrium_distance);
59 virtual ~PairPotential_Harmonic() {}
60
61 /** Setter for parameters as required by FunctionModel interface.
62 *
63 * \param _params given set of parameters
64 */
65 void setParameters(const parameters_t &_params);
66
67 /** Getter for parameters as required by FunctionModel interface.
68 *
69 * \return set of parameters
70 */
71 parameters_t getParameters() const
72 {
73 return params;
74 }
75
76 /** Sets the parameter randomly within the sensible range of each parameter.
77 *
78 * \param data container with training data for guesstimating range
79 */
80 void setParametersToRandomInitialValues(const TrainingData &data);
81
82 /** Getter for the number of parameters of this model function.
83 *
84 * \return number of parameters
85 */
86 size_t getParameterDimension() const
87 {
88 return MAXPARAMS;
89 }
90
91 /** Evaluates the harmonic potential function for the given arguments.
92 *
93 * @param listarguments list of single distances
94 * @return value of the potential function
95 */
96 results_t operator()(const list_of_arguments_t &listarguments) const;
97
98 /** Evaluates the derivative of the potential function.
99 *
100 * @param listarguments list of single distances
101 * @return vector with derivative with respect to the input degrees of freedom
102 */
103 derivative_components_t derivative(const list_of_arguments_t &listarguments) const;
104
105 /** Evaluates the derivative of the function with the given \a arguments
106 * with respect to a specific parameter indicated by \a index.
107 *
108 * \param listarguments list of single distances
109 * \param index derivative of which parameter
110 * \return result vector containing the derivative with respect to the given
111 * input
112 */
113 results_t parameter_derivative(const list_of_arguments_t &listarguments, const size_t index) const;
114
115 /** Returns the functor that converts argument_s into the
116 * internal coordinate described by this potential function.
117 *
118 * \return coordinator functor
119 */
120 Coordinator::ptr getCoordinator() const
121 { return coordinator; }
122
123 /** States whether lower and upper boundaries should be used to constraint
124 * the parameter search for this function model.
125 *
126 * \return true - constraints should be used, false - else
127 */
128 bool isBoxConstraint() const {
129 return true;
130 }
131
132 /** Returns a vector which are the lower boundaries for each parameter_t
133 * of this FunctionModel.
134 *
135 * \return vector of parameter_t resembling lowest allowed values
136 */
137 parameters_t getLowerBoxConstraints() const {
138 parameters_t lowerbounds(getParameterDimension(), -std::numeric_limits<double>::max());
139 lowerbounds[equilibrium_distance] = 0.;
140 return lowerbounds;
141 }
142
143 /** Returns a vector which are the upper boundaries for each parameter_t
144 * of this FunctionModel.
145 *
146 * \return vector of parameter_t resembling highest allowed values
147 */
148 parameters_t getUpperBoxConstraints() const {
149 return parameters_t(getParameterDimension(), std::numeric_limits<double>::max());
150 }
151
152 /** Returns a bound function to be used with TrainingData, extracting distances
153 * from a Fragment.
154 *
155 * \return bound function extracting distances from a fragment
156 */
157 FunctionModel::filter_t getSpecificFilter() const;
158
159 /** Returns the number of arguments the underlying function requires.
160 *
161 * \return number of arguments of the function
162 */
163 size_t getSpecificArgumentCount() const
164 { return 1; }
165
166 /** Return the token name of this specific potential.
167 *
168 * \return token name of the potential
169 */
170 const std::string& getToken() const
171 { return potential_token; }
172
173 /** Returns a vector of parameter names.
174 *
175 * This is required from the specific implementation
176 *
177 * \return vector of strings containing parameter names
178 */
179 const ParameterNames_t& getParameterNames() const
180 { return ParameterNames; }
181
182 enum parameter_enum_t {
183 spring_constant=0,
184 equilibrium_distance=1,
185 MAXPARAMS
186 };
187private:
188 //!> parameter vector with parameters as in enum parameter_enum_t
189 parameters_t params;
190
191 //!> static definitions of the parameter name for this potential
192 static const ParameterNames_t ParameterNames;
193
194 //!> static token of this potential type
195 static const std::string potential_token;
196
197 //!> internal coordinator object for converting arguments_t
198 static Coordinator::ptr coordinator;
199};
200
201#endif /* PAIRPOTENTIAL_HARMONIC_HPP_ */
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