Math

Math functions and classes. More...

Collaboration diagram for Math:

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

Classes
class	BasicStatistics< RealT >
	Calculates some basic statistical parameters of a distribution: sum, mean, variance, and provides the normal approximation. More...
class	GammaDistributionFitter
	Implements a fitter for the Gamma distribution. More...
class	GaussFitter
	Implements a fitter for Gaussian functions. More...
class	GumbelMaxLikelihoodFitter
	Implements a fitter for the Gumbel distribution. More...
class	Histogram< ValueType, BinSizeType >
	Representation of a histogram. More...
class	PosteriorErrorProbabilityModel
	Implements a mixture model of the inverse gumbel and the gauss distribution or a gaussian mixture. More...
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	LinearRegression
	This class offers functions to perform least-squares fits to a straight line model, \( Y(c,x) = c_0 + c_1 x \). More...
class	LinearRegressionWithoutIntercept
	This class offers functions to perform least-squares fits to a straight line model, \( Y(c,x) = c_0 + c_1 x \). 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.