AdaptiveMonteCarloUtils.C File Reference

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Namespaces
namespace	AdaptiveMonteCarloUtils

Functions
Real	AdaptiveMonteCarloUtils::computeSTD (const std::vector< Real > &data, const unsigned int &start_index)
	compute the standard deviation of a data vector by only considering values from a specific index.
Real	AdaptiveMonteCarloUtils::computeMean (const std::vector< Real > &data, const unsigned int &start_index)
	compute the mean of a data vector by only considering values from a specific index.
std::vector< std::vector< Real > >	AdaptiveMonteCarloUtils::sortInput (const std::vector< std::vector< Real > > &inputs, const std::vector< Real > &outputs, const unsigned int samplessub, const Real subset_prob)
	return input values corresponding to the largest po percentile output values.
std::vector< Real >	AdaptiveMonteCarloUtils::sortOutput (const std::vector< Real > &outputs, const unsigned int samplessub, const Real subset_prob)
	return the largest po percentile output values.
Real	AdaptiveMonteCarloUtils::computeMin (const std::vector< Real > &data)
	return the minimum value in a vector.
std::vector< Real >	AdaptiveMonteCarloUtils::computeVectorABS (const std::vector< Real > &data)
	return the absolute values in a vector.
unsigned int	AdaptiveMonteCarloUtils::weightedResample (const std::vector< Real > &weights, Real rnd)
	return a resampled vector from a population given a weight vector.