math Directory Reference

Directory dependency graph for math:

Files
	Bessel.C
	Show the different kinds of Bessel functions available in ROOT To execute the macro type in:
	Bessel.py
	Show the different kinds of Bessel functions available in ROOT To execute the macro type in:
	binomial.C
	tutorial illustrating the use of TMath::Binomial can be run with:
	ChebyshevPol.C
	Example of Chebyshev polynomials using new TFormula pre-defined definitions of chebyshev polynomials
	chi2test.C
	Example to use chi2 test for comparing two histograms One unweighted histogram is compared with a weighted histogram.
	CrystalBall.C
	Example of CrystalBall Function and its distribution (pdf and cdf)
	exampleFunction.py
	Example of using Python functions and input to numerical algorithm using the ROOT Functor class
	exampleFunctor.C
	Tutorial illustrating how creating a TF1 class using functor or class member functions
	exampleMultiRoot.C
	Example of using multiroot finder based on GSL algorithm.
	exampleTKDE.C
	Example of using the TKDE class (kernel density estimator)
	FeldmanCousins.C
	Example macro of using the TFeldmanCousins class in root.
	GammaFun.C
	Example showing the usage of the major special math functions (gamma, beta, erf) in ROOT To execute the macro type in:
	goftest.C
	GoFTest tutorial macro
	hlquantiles.C
	Demo for quantiles (with highlight mode)
	kdTreeBinning.C
	kdTreeBinning tutorial: bin the data in cells of equal content using a kd-tree
	Legendre.C
	Example of first few Legendre Polynomials
	Legendre.py
	Example of first few Legendre Polynomials.
	LegendreAssoc.C
	Example describing the usage of different kinds of Associate Legendre Polynomials To execute the macro type in:
	limit.C
	This program demonstrates the computation of 95 % C.L.
	mathBeta.C
	Test the TMath::BetaDist and TMath::BetaDistI functions
	mathcoreCDF.C
	Example describing how to use the different cumulative distribution functions in ROOT.
	mathcoreGenVector.C
	Example macro testing available methods and operation of the GenVector classes.
	mathcoreSpecFunc.C
	Example macro describing how to use the special mathematical functions taking full advantage of the precision and speed of the C99 compliant environments.
	mathcoreStatFunc.C
	Example macro showing some major probability density functions in ROOT.
	mathcoreStatFunc.py
	Example macro showing some major probability density functions in ROOT.
	mathcoreVectorCollection.C
	Example showing how to write and read a std vector of ROOT::Math LorentzVector in a ROOT tree.
	mathcoreVectorFloatIO.C
	Macro illustrating I/O with Lorentz Vectors of floats The dictionary for LorentzVector of float is not in the libMathCore, therefore is generated when parsed the file with CINT.
	mathcoreVectorIO.C
	Example of I/O of a mathcore Lorentz Vectors in a Tree and comparison with a TLorentzVector.
	mathGammaNormal.C
	Tutorial illustrating the use of TMath::GammaDist and TMath::LogNormal
	mathLaplace.C
	Test the TMath::LaplaceDist and TMath::LaplaceDistI functions
	mathmoreIntegration.C
	Example on the usage of the adaptive 1D integration algorithm of MathMore it calculates the numerically cumulative integral of a distribution (like in this case the BreitWigner) to execute the macro type it (you need to compile with AClic)
	mathStudent.C
	Tutorial illustrating the use of the Student and F distributions
	multidimSampling.C
	Example of sampling a multi-dim distribution using the DistSampler class NOTE: This tutorial must be run with ACLIC
	multivarGaus.C
	Tutorial illustrating the multivariate gaussian random number generation
	normalDist.C
	Tutorial illustrating the new statistical distributions functions (pdf, cdf and quantile)
	normalDist.py
	Tutorial illustrating the new statistical distributions functions (pdf, cdf and quantile)
	permute.C
	Tutorial illustrating the use of TMath::Permute can be run with:
	principal.C
	Principal Components Analysis (PCA) example
	principal.py
	Principal Components Analysis (PCA) example
	quantiles.C
	Demo for quantiles
	quasirandom.C
	Example of generating quasi-random numbers
	Rolke.C
	Example of the usage of the TRolke class The TRolke class computes the profile likelihood confidence limits for 7 different model assumptions on systematic/statistical uncertainties
	testrandom.C
	Performance test of all the ROOT random generator (TRandom, TRandom1, TRandom2 and TRandom3) Tests the generator TRandom3 against some ref values and creates a timing table against TRandom, TRandom1 and TRandom2.
	tStudent.C
	Example macro describing the student t distribution
	tStudent.py
	Example macro describing the student t distribution
	TSVDUnfoldExample.C
	Data unfolding using Singular Value Decomposition
	vavilov.C
	Test of the TMath::Vavilov distribution