source: src/Potentials/Specifics/PairPotential_Morse.hpp@ 64cafb2

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Last change on this file since 64cafb2 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_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 "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_Morse :
30 public EmpiricalPotential
31{
32 //!> grant unit test access to internal parts
33 friend class PairPotential_MorseTest;
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_Morse();
52
53public:
54 PairPotential_Morse(const ParticleTypes_t &_ParticleTypes);
55 PairPotential_Morse(
56 const ParticleTypes_t &_ParticleTypes,
57 const double _spring_constant,
58 const double _equilibrium_distance,
59 const double _dissociation_energy);
60 virtual ~PairPotential_Morse() {}
61
62 /** Setter for parameters as required by FunctionModel interface.
63 *
64 * \param _params given set of parameters
65 */
66 void setParameters(const parameters_t &_params);
67
68 /** Getter for parameters as required by FunctionModel interface.
69 *
70 * \return set of parameters
71 */
72 parameters_t getParameters() const
73 {
74 return params;
75 }
76
77 /** Sets the parameter randomly within the sensible range of each parameter.
78 *
79 * \param data container with training data for guesstimating range
80 */
81 void setParametersToRandomInitialValues(const TrainingData &data);
82
83 /** Getter for the number of parameters of this model function.
84 *
85 * \return number of parameters
86 */
87 size_t getParameterDimension() const
88 {
89 return MAXPARAMS;
90 }
91
92 /** Evaluates the harmonic potential function for the given arguments.
93 *
94 * @param listarguments list of single distances
95 * @return value of the potential function
96 */
97 results_t operator()(const list_of_arguments_t &listarguments) const;
98
99 /** Evaluates the derivative of the potential function.
100 *
101 * @param listarguments list of single distances
102 * @return vector with derivative with respect to the input degrees of freedom
103 */
104 derivative_components_t derivative(const list_of_arguments_t &listarguments) const;
105
106 /** Evaluates the derivative of the function with the given \a arguments
107 * with respect to a specific parameter indicated by \a index.
108 *
109 * \param listarguments list of single distances
110 * \param index derivative of which parameter
111 * \return result vector containing the derivative with respect to the given
112 * input
113 */
114 results_t parameter_derivative(const list_of_arguments_t &listarguments, const size_t index) const;
115
116 /** Returns the functor that converts argument_s into the
117 * internal coordinate described by this potential function.
118 *
119 * \return coordinator functor
120 */
121 Coordinator::ptr getCoordinator() const
122 { return coordinator; }
123
124 /** Return the token name of this specific potential.
125 *
126 * \return token name of the potential
127 */
128 const std::string& getToken() const
129 { return potential_token; }
130
131 /** Returns a vector of parameter names.
132 *
133 * This is required from the specific implementation
134 *
135 * \return vector of strings containing parameter names
136 */
137 const ParameterNames_t& getParameterNames() const
138 { return ParameterNames; }
139
140 /** States whether lower and upper boundaries should be used to constraint
141 * the parameter search for this function model.
142 *
143 * \return true - constraints should be used, false - else
144 */
145 bool isBoxConstraint() const {
146 return true;
147 }
148
149 /** Returns a vector which are the lower boundaries for each parameter_t
150 * of this FunctionModel.
151 *
152 * \return vector of parameter_t resembling lowest allowed values
153 */
154 parameters_t getLowerBoxConstraints() const {
155 parameters_t lowerbound(getParameterDimension(), -std::numeric_limits<double>::max());
156 lowerbound[equilibrium_distance] = 0.;
157 return lowerbound;
158 }
159
160 /** Returns a vector which are the upper boundaries for each parameter_t
161 * of this FunctionModel.
162 *
163 * \return vector of parameter_t resembling highest allowed values
164 */
165 parameters_t getUpperBoxConstraints() const {
166 return parameters_t(getParameterDimension(), std::numeric_limits<double>::max());
167 }
168
169 /** Returns a bound function to be used with TrainingData, extracting distances
170 * from a Fragment.
171 *
172 * \return bound function extracting distances from a fragment
173 */
174 FunctionModel::filter_t getSpecificFilter() const;
175
176 /** Returns the number of arguments the underlying function requires.
177 *
178 * \return number of arguments of the function
179 */
180 size_t getSpecificArgumentCount() const
181 { return 1; }
182
183 enum parameter_enum_t {
184 spring_constant=0,
185 equilibrium_distance=1,
186 dissociation_energy=2,
187 MAXPARAMS
188 };
189
190private:
191 //!> parameter vector with parameters as in enum parameter_enum_t
192 parameters_t params;
193
194 //!> static definitions of the parameter name for this potential
195 static const ParameterNames_t ParameterNames;
196
197 //!> static token of this potential type
198 static const std::string potential_token;
199
200 //!> internal coordinator object for converting arguments_t
201 static Coordinator::ptr coordinator;
202};
203
204#endif /* PAIRPOTENTIAL_MORSE_HPP_ */
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