#include "logarithmic_model.h" #include "../store.h" #include #include #include #include using namespace Poincare; namespace Regression { Layout LogarithmicModel::layout() { if (m_layout.isUninitialized()) { Layout layoutChildren[] = { CharLayout::Builder('a', KDFont::SmallFont), CharLayout::Builder(Ion::Charset::MiddleDot, KDFont::SmallFont), CharLayout::Builder('l', KDFont::SmallFont), CharLayout::Builder('n', KDFont::SmallFont), CharLayout::Builder('(', KDFont::SmallFont), CharLayout::Builder('X', KDFont::SmallFont), CharLayout::Builder(')', KDFont::SmallFont), CharLayout::Builder('+', KDFont::SmallFont), CharLayout::Builder('b', KDFont::SmallFont) }; m_layout = HorizontalLayout::Builder(layoutChildren, 9); } return m_layout; } double LogarithmicModel::evaluate(double * modelCoefficients, double x) const { double a = modelCoefficients[0]; double b = modelCoefficients[1]; return a*log(x)+b; } double LogarithmicModel::levelSet(double * modelCoefficients, double xMin, double step, double xMax, double y, Poincare::Context * context) { double a = modelCoefficients[0]; double b = modelCoefficients[1]; if (a == 0) { return NAN; } return exp((y-b)/a); } double LogarithmicModel::partialDerivate(double * modelCoefficients, int derivateCoefficientIndex, double x) const { if (derivateCoefficientIndex == 0) { // Derivate: ln(x) assert(x >0); return log(x); } if (derivateCoefficientIndex == 1) { // Derivate: 1 return 1; } assert(false); return 0.0; } bool LogarithmicModel::dataSuitableForFit(Store * store, int series) const { if (!Model::dataSuitableForFit(store, series)) { return false; } int numberOfPairs = store->numberOfPairsOfSeries(series); for (int j = 0; j < numberOfPairs; j++) { if (store->get(series, 0, j) <= 0) { return false; } } return true; } }