| 1 | /* | 
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| 2 | * FunctionModel.hpp | 
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| 3 | * | 
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| 4 | *  Created on: 02.10.2012 | 
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| 5 | *      Author: heber | 
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| 6 | */ | 
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| 7 |  | 
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| 8 | #ifndef FUNCTIONMODEL_HPP_ | 
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| 9 | #define FUNCTIONMODEL_HPP_ | 
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| 10 |  | 
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| 11 | // include config.h | 
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| 12 | #ifdef HAVE_CONFIG_H | 
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| 13 | #include <config.h> | 
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| 14 | #endif | 
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| 15 |  | 
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| 16 | #include <vector> | 
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| 17 |  | 
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| 18 | #include "FunctionApproximation/FunctionArgument.hpp" | 
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| 19 |  | 
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| 20 | /** This class represents the interface for a given function to model a | 
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| 21 | * high-dimensional data set in FunctionApproximation. | 
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| 22 | * | 
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| 23 | * As the parameters may be stored differently, the interface functions for | 
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| 24 | * getting and setting them are as light-weight (and not speed-optimized) | 
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| 25 | * as possible. | 
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| 26 | * | 
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| 27 | */ | 
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| 28 | class FunctionModel | 
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| 29 | { | 
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| 30 | public: | 
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| 31 | //!> typedef for a single parameter degree of freedom of the function | 
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| 32 | typedef double parameter_t; | 
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| 33 | //!> typedef for the whole set of parameters of the function | 
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| 34 | typedef std::vector<parameter_t> parameters_t; | 
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| 35 | //!> typedef for the argument vector as input to the function | 
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| 36 | typedef std::vector<argument_t> arguments_t; | 
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| 37 | //!> typedef for a single result degree of freedom | 
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| 38 | typedef double result_t; | 
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| 39 | //!> typedef for the result vector as returned by the function | 
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| 40 | typedef std::vector<result_t> results_t; | 
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| 41 | //!> typedef for the components of the derivative | 
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| 42 | typedef std::vector<result_t> derivative_components_t; | 
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| 43 | public: | 
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| 44 | FunctionModel() {} | 
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| 45 | virtual ~FunctionModel() {} | 
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| 46 |  | 
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| 47 | /** Setter for the parameters of the model function. | 
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| 48 | * | 
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| 49 | * \param params set of parameters to set | 
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| 50 | */ | 
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| 51 | virtual void setParameters(const parameters_t ¶ms)=0; | 
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| 52 |  | 
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| 53 | /** Getter for the parameters of this model function. | 
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| 54 | * | 
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| 55 | * \return current set of parameters of the model function | 
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| 56 | */ | 
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| 57 | virtual parameters_t getParameters() const=0; | 
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| 58 |  | 
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| 59 | /** Getter for the number of parameters of this model function. | 
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| 60 | * | 
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| 61 | * \return number of parameters | 
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| 62 | */ | 
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| 63 | virtual size_t getParameterDimension() const=0; | 
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| 64 |  | 
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| 65 | /** Evaluates the function with the given \a arguments and the current set of | 
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| 66 | * parameters. | 
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| 67 | * | 
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| 68 | * \param arguments set of arguments as input variables to the function | 
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| 69 | * \return result of the function | 
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| 70 | */ | 
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| 71 | virtual results_t operator()(const arguments_t &arguments) const=0; | 
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| 72 |  | 
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| 73 | /** Evaluates the derivative of the function with the given \a arguments | 
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| 74 | * for each component. | 
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| 75 | * | 
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| 76 | * \param arguments set of arguments as input variables to the function | 
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| 77 | * \return result vector containing the derivative with respect to each | 
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| 78 | *         input comonent of the function | 
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| 79 | */ | 
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| 80 | virtual derivative_components_t derivative(const arguments_t &arguments) const=0; | 
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| 81 | }; | 
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| 82 |  | 
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| 83 | #endif /* FUNCTIONMODEL_HPP_ */ | 
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