Math

Math functions and classes. More...

Modules
	Statistics functions
	Various statistical functions.
	Misc functions
	Math functions.

Classes
class	BilinearInterpolation< Key, Value >
	Provides access to bilinearly interpolated values (and derivatives) from discrete data points. Values beyond the given range of data points are implicitly taken as zero. More...
class	LinearInterpolation< Key, Value >
	Provides access to linearly interpolated values (and derivatives) from discrete data points. Values beyond the given range of data points are implicitly taken as zero. More...
class	BasicStatistics< RealT >
	Calculates some basic statistical parameters of a distribution: sum, mean, variance, and provides the normal approximation. More...
struct	GammaDistributionFitter::GammaDistributionFitResult
	struct to represent the parameters of a gamma distribution More...
class	GammaDistributionFitter
	Implements a fitter for the Gamma distribution. More...
struct	GaussFitter::GaussFitResult
	struct of parameters of a gaussian distribution More...
class	GaussFitter
	Implements a fitter for gaussian functions. More...
struct	GumbelDistributionFitter::GumbelDistributionFitResult
	struct to represent the parameters of a gumbel distribution More...
class	GumbelDistributionFitter
	Implements a fitter for the Gumbel distribution. More...
class	Histogram< ValueType, BinSizeType >
	Representation of a histogram. More...
class	LinearRegression
	This class offers functions to perform least-squares fits to a straight line model, . More...
class	PosteriorErrorProbabilityModel
	Implements a mixture model of the inverse gumbel and the gauss distribution or a gaussian mixture. More...
class	ROCCurve::simsortdec
	predicate for sort() More...
class	ROCCurve
	ROCCurves show the trade-off in sensitivity and specificity for binary classifiers using different cutoff values. More...

Detailed Description

Math functions and classes.