generate_distributed_sample()

double MayaFlux::Nodes::Generator::Stochastics::Random::generate_distributed_sample ( )

private

Generates a raw value according to the current distribution.

Returns

Raw stochastic value before range transformation

This internal method applies the selected probability algorithm to generate a value with the appropriate statistical properties.

Definition at line 50 of file Stochastic.cpp.

{
    switch (m_type) {
    case Utils::distribution::UNIFORM: {
        std::uniform_real_distribution<double> dist(m_current_start, m_current_end);
        return dist(m_random_engine);
    }
    case Utils::distribution::NORMAL: {
        const double range = m_current_end - m_current_start;
        std::normal_distribution<double> dist(0.0, range / m_normal_spread);
        return dist(m_random_engine);
    }
    case Utils::distribution::EXPONENTIAL: {
        std::exponential_distribution<double> dist(1.0);
        return dist(m_random_engine);
    }
    case Utils::distribution::POISSON: {
        std::poisson_distribution<int> dist(m_current_end - m_current_start);
        return static_cast<double>(dist(m_random_engine));
    }
    default:
        throw std::invalid_argument("Invalid distribution type");
    }
}

References MayaFlux::Utils::EXPONENTIAL, m_current_end, m_current_start, m_normal_spread, m_random_engine, m_type, MayaFlux::Utils::NORMAL, MayaFlux::Utils::POISSON, and MayaFlux::Utils::UNIFORM.

Referenced by random_array(), and random_sample().

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