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https://github.com/UpsilonNumworks/Upsilon.git
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018dd91ca1
Plots are still rendered in float but computations are now in double Change-Id: I7e0a38effb780861b1443ee92a097cd319de3bc8
58 lines
2.1 KiB
C++
58 lines
2.1 KiB
C++
#ifndef PROBABILITE_DISTRIBUTION_H
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#define PROBABILITE_DISTRIBUTION_H
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#include "../../shared/curve_view_range.h"
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#include <apps/i18n.h>
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#include <poincare/preferences.h>
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namespace Probability {
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class Distribution : public Shared::CurveViewRange {
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public:
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Distribution() : Shared::CurveViewRange() {}
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enum class Type : uint8_t{
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Binomial,
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Uniform,
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Exponential,
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Normal,
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ChiSquared,
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Student,
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Geometric,
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Poisson,
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Fisher
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};
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virtual ~Distribution() = default;
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virtual I18n::Message title() = 0;
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virtual Type type() const = 0;
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virtual bool isContinuous() const = 0;
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virtual int numberOfParameter() = 0;
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virtual double parameterValueAtIndex(int index) = 0;
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virtual I18n::Message parameterNameAtIndex(int index) = 0;
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virtual I18n::Message parameterDefinitionAtIndex(int index) = 0;
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virtual void setParameterAtIndex(float f, int index) = 0;
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virtual float evaluateAtAbscissa(float x) const = 0;
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virtual bool authorizedValueAtIndex(float x, int index) const = 0;
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virtual double cumulativeDistributiveFunctionAtAbscissa(double x) const;
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double rightIntegralFromAbscissa(double x) const;
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double finiteIntegralBetweenAbscissas(double a, double b) const;
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virtual double cumulativeDistributiveInverseForProbability(double * probability);
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virtual double rightIntegralInverseForProbability(double * probability);
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virtual double evaluateAtDiscreteAbscissa(int k) const;
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constexpr static int k_maxNumberOfOperations = 1000000;
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virtual double defaultComputedValue() const { return 0.0f; }
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protected:
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static_assert(Poincare::Preferences::LargeNumberOfSignificantDigits == 7, "k_maxProbability is ill-defined compared to LargeNumberOfSignificantDigits");
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constexpr static double k_maxProbability = 0.9999995;
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constexpr static float k_displayTopMarginRatio = 0.05f;
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constexpr static float k_displayLeftMarginRatio = 0.05f;
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constexpr static float k_displayRightMarginRatio = 0.05f;
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double cumulativeDistributiveInverseForProbabilityUsingIncreasingFunctionRoot(double * probability, double ax, double bx);
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private:
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constexpr static float k_displayBottomMarginRatio = 0.2f;
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float yMin() const override;
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};
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}
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#endif
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