#ifndef ATTRACTORKERNEL_HPP #define ATTRACTORKERNEL_HPP #include "Logger.hpp" #include #include #include #include "stfu/stf.hpp" class AttractorKernel { public: virtual ~AttractorKernel() { dealloc(); } #pragma mark - #pragma mark parameters double& operator[](const unsigned int index) { return parameters[index]; } double const& operator[](const unsigned int index) const { return parameters[index]; } unsigned int getNumberOfParameters() const { return numberOfParameters; } virtual void generate_random_parameters() { for(unsigned int i = 0; i < numberOfParameters; ++i) parameters[i] = 6.0 * rand() / double(RAND_MAX) - 3.0; for(unsigned int i = 0; i < dimension; ++i) vectorNew[i] = vectorOld[i] = 2.0 * rand() / double(RAND_MAX) - 1.0; } #pragma mark - #pragma mark tests bool convergent() { double sum = 0.0; for(unsigned int i = 0; i < dimension; ++i) { sum += (vectorNew[i] - vectorOld[i])*(vectorNew[i] - vectorOld[i]); } return sum < 1.0e-6; } bool divergent() { double sum = 0.0; for(unsigned int i = 0; i < dimension; ++i) { sum += (vectorNew[i] - vectorOld[i])*(vectorNew[i] - vectorOld[i]); } return sum > 1.0e3; } #pragma mark - #pragma mark main // iterate his formula, implemented by subclasses virtual void operator()() = 0; stfu::node stf_output() { stfu::node output; output.value("type") = type(); output.value("dimension") = std::to_string((long long unsigned)dimension); stf_other(output); stfu::node parameters_node; for(unsigned int i = 0; i < numberOfParameters; ++i) parameters_node.value(i) = std::to_string((long double)parameters[i]); output.addChild("parameters", parameters_node); return output; } virtual std::string type() = 0; virtual void stf_other(stfu::node&) {} #pragma mark - #pragma mark vector double const* vector() const { return vectorNew; } double const* previousVector() const { return vectorOld; } unsigned int getDimension() const { return dimension; } #pragma mark - #pragma mark factory functions static AttractorKernel* createAttractorKernel(stfu::node& attractorKernel); static AttractorKernel* randomAttractorKernel(); protected: double* parameters; double* vectorNew; double* vectorOld; unsigned int numberOfParameters; unsigned int dimension; AttractorKernel(const unsigned int dimension, const unsigned int numberOfParameters) : parameters(0), vectorNew(0), vectorOld(0), numberOfParameters(numberOfParameters), dimension(dimension) { try { allocate(); } catch(std::exception& e) { LogError("Couldn't construct Attractorkernel: %s\n", e.what()); dealloc(); } std::fill_n(parameters, numberOfParameters, 0.0); std::fill_n(vectorNew, dimension, 0.0); std::fill_n(vectorOld, dimension, 0.0); } private: void allocate() { parameters = new double[numberOfParameters]; vectorNew = new double[dimension]; vectorOld = new double[dimension]; } void dealloc() { delete[] vectorOld; vectorOld = NULL; delete[] vectorNew; vectorNew = NULL; delete[] parameters; parameters = NULL; } }; #endif // ATTRACTORKERNEL_HPP