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https://github.com/UpsilonNumworks/Upsilon.git
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69 lines
1.6 KiB
C++
69 lines
1.6 KiB
C++
#include "finite_integral_calculation.h"
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#include "../distribution/normal_distribution.h"
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#include <assert.h>
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#include <ion.h>
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#include <cmath>
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namespace Probability {
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FiniteIntegralCalculation::FiniteIntegralCalculation() :
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Calculation(),
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m_lowerBound(0.0),
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m_upperBound(1.0),
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m_result(0.0)
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{
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compute(0);
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}
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I18n::Message FiniteIntegralCalculation::legendForParameterAtIndex(int index) {
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assert(index >= 0 && index < 3);
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if (index == 0) {
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return I18n::Message::FiniteIntegralFirstLegend;
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}
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if (index == 1) {
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return I18n::Message::FiniteIntegralLegend;
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}
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return I18n::Message::LeftIntegralSecondLegend;
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}
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void FiniteIntegralCalculation::setParameterAtIndex(double f, int index) {
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assert(index >= 0 && index < 3);
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if (index == 0) {
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m_lowerBound = f;
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}
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if (index == 1) {
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m_upperBound = f;
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}
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if (index == 2) {
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m_result = f;
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}
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compute(index);
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}
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double FiniteIntegralCalculation::parameterAtIndex(int index) {
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assert(index >= 0 && index < 3);
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if (index == 0) {
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return m_lowerBound;
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}
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if (index == 1) {
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return m_upperBound;
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}
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return m_result;
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}
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void FiniteIntegralCalculation::compute(int indexKnownElement) {
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if (m_distribution == nullptr) {
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return;
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}
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if (indexKnownElement == 2) {
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assert(m_distribution->type() == Distribution::Type::Normal);
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double p = (1.0+m_result)/2.0;
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m_upperBound = ((NormalDistribution *)m_distribution)->cumulativeDistributiveInverseForProbability(&p);
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m_lowerBound = 2.0*m_distribution->parameterValueAtIndex(0)-m_upperBound;
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}
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m_result = m_distribution->finiteIntegralBetweenAbscissas(m_lowerBound, m_upperBound);
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}
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}
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