source: src/Potentials/Specifics/FourBodyPotential_Torsion.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: 6.2 KB
Line 
1/*
2 * FourBodyPotential_Torsion.hpp
3 *
4 * Created on: Jul 08, 2013
5 * Author: heber
6 */
7
8#ifndef FOURBODYPOTENTIAL_ANGLE_HPP_
9#define FOURBODYPOTENTIAL_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 "Potentials/EmpiricalPotential.hpp"
20
21class PotentialFactory;
22class TrainingData;
23
24/** This is the implementation of a torsion potential.
25 *
26 * This evaluates \f$ k \cdot (\theta -\theta_0)^2 \f$
27 * where \f$\theta\f$ is the angle between the two planes
28 * described by positions 012 and 123, respectively.
29 *
30 */
31class FourBodyPotential_Torsion :
32 public EmpiricalPotential
33{
34 //!> grant unit test access to internal parts
35 friend class FourBodyPotential_TorsionTest;
36 //!> grant PotentialFactory access to default cstor
37 friend class PotentialFactory;
38 // some repeated typedefs to avoid ambiguities
39 typedef FunctionModel::list_of_arguments_t list_of_arguments_t;
40 typedef FunctionModel::arguments_t arguments_t;
41 typedef FunctionModel::result_t result_t;
42 typedef FunctionModel::results_t results_t;
43 typedef EmpiricalPotential::derivative_components_t derivative_components_t;
44 typedef FunctionModel::parameters_t parameters_t;
45protected:
46 /** Private default constructor.
47 *
48 * This prevents creation of potential without set ParticleTypes_t.
49 *
50 * \note PotentialFactory may use this default cstor
51 *
52 */
53 FourBodyPotential_Torsion();
54
55public:
56 FourBodyPotential_Torsion(const ParticleTypes_t &_ParticleTypes);
57 FourBodyPotential_Torsion(
58 const ParticleTypes_t &_ParticleTypes,
59 const double _spring_constant,
60 const double _equilibrium_distance);
61 virtual ~FourBodyPotential_Torsion() {}
62
63 /** Setter for parameters as required by FunctionModel interface.
64 *
65 * \param _params given set of parameters
66 */
67 void setParameters(const parameters_t &_params);
68
69 /** Getter for parameters as required by FunctionModel interface.
70 *
71 * \return set of parameters
72 */
73 parameters_t getParameters() const
74 {
75 return params;
76 }
77
78 /** Sets the parameter randomly within the sensible range of each parameter.
79 *
80 * \param data container with training data for guesstimating range
81 */
82 void setParametersToRandomInitialValues(const TrainingData &data);
83
84 /** Getter for the number of parameters of this model function.
85 *
86 * \return number of parameters
87 */
88 size_t getParameterDimension() const
89 {
90 return MAXPARAMS;
91 }
92
93 /** Evaluates the harmonic potential function for the given arguments.
94 *
95 * @param listarguments list of six distances
96 * @return value of the potential function
97 */
98 results_t operator()(const list_of_arguments_t &listarguments) const;
99
100 /** Evaluates the derivative of the potential function.
101 *
102 * @param listarguments list of six distances
103 * @return vector with derivative with respect to the input degrees of freedom
104 */
105 derivative_components_t derivative(const list_of_arguments_t &listarguments) const;
106
107 /** Evaluates the derivative of the function with the given \a arguments
108 * with respect to a specific parameter indicated by \a index.
109 *
110 * \param listarguments list of six distances
111 * \param index derivative of which parameter
112 * \return result vector containing the derivative with respect to the given
113 * input
114 */
115 results_t parameter_derivative(const list_of_arguments_t &listarguments, const size_t index) const;
116
117 /** Returns the functor that converts argument_s into the
118 * internal coordinate described by this potential function.
119 *
120 * \return coordinator functor
121 */
122 Coordinator::ptr getCoordinator() const
123 { return coordinator; }
124
125 /** Return the token name of this specific potential.
126 *
127 * \return token name of the potential
128 */
129 const std::string& getToken() const
130 { return potential_token; }
131
132 /** Returns a vector of parameter names.
133 *
134 * This is required from the specific implementation
135 *
136 * \return vector of strings containing parameter names
137 */
138 const ParameterNames_t& getParameterNames() const
139 { return ParameterNames; }
140
141 /** States whether lower and upper boundaries should be used to constraint
142 * the parameter search for this function model.
143 *
144 * \return true - constraints should be used, false - else
145 */
146 bool isBoxConstraint() const {
147 return true;
148 }
149
150 /** Returns a vector which are the lower boundaries for each parameter_t
151 * of this FunctionModel.
152 *
153 * \return vector of parameter_t resembling lowest allowed values
154 */
155 parameters_t getLowerBoxConstraints() const {
156 parameters_t lowerbounds(getParameterDimension(), -std::numeric_limits<double>::max());
157 lowerbounds[spring_constant] = 0.;
158 lowerbounds[equilibrium_distance] = -1.;
159 return lowerbounds;
160 }
161
162 /** Returns a vector which are the upper boundaries for each parameter_t
163 * of this FunctionModel.
164 *
165 * \return vector of parameter_t resembling highest allowed values
166 */
167 parameters_t getUpperBoxConstraints() const {
168 parameters_t upperbounds(getParameterDimension(), std::numeric_limits<double>::max());
169 upperbounds[equilibrium_distance] = 1.;
170 return upperbounds;
171 }
172
173 /** Returns a bound function to be used with TrainingData, extracting distances
174 * from a Fragment.
175 *
176 * \return bound function extracting distances from a fragment
177 */
178 FunctionModel::filter_t getSpecificFilter() const;
179
180 /** Returns the number of arguments the underlying function requires.
181 *
182 * \return number of arguments of the function
183 */
184 size_t getSpecificArgumentCount() const
185 { return 6; }
186
187 enum parameter_enum_t {
188 spring_constant=0,
189 equilibrium_distance=1,
190 MAXPARAMS
191 };
192
193protected:
194 virtual result_t function_theta(
195 const double &r_ij,
196 const double &r_ik,
197 const double &r_il,
198 const double &r_jk,
199 const double &r_jl,
200 const double &r_kl
201 ) const;
202private:
203 //!> parameter vector with parameters as in enum parameter_enum_t
204 parameters_t params;
205
206 //!> static definitions of the parameter name for this potential
207 static const ParameterNames_t ParameterNames;
208
209 //!> static token of this potential type
210 static const std::string potential_token;
211
212 //!> internal coordinator object for converting arguments_t
213 static Coordinator::ptr coordinator;
214};
215
216#endif /* FOURBODYPOTENTIAL_ANGLE_HPP_ */
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