math Directory Reference

Directory dependency graph for math:

Files
file	Bessel.C [code]
	Show the different kinds of Bessel functions available in ROOT To execute the macro type in:
file	Bessel.py [code]
	Show the different kinds of Bessel functions available in ROOT To execute the macro type in:
file	binomial.C [code]
	tutorial illustrating the use of TMath::Binomial can be run with:
file	ChebyshevPol.C [code]
	Example of Chebyshev polynomials using new TFormula pre-defined definitions of chebyshev polynomials
file	chi2test.C [code]
	Example to use chi2 test for comparing two histograms One unweighted histogram is compared with a weighted histogram.
file	CrystalBall.C [code]
	Example of CrystalBall Function and its distribution (pdf and cdf)
file	exampleFunctor.C [code]
	Tutorial illustrating how creating a TF1 class using functor or class member functions
file	exampleMultiRoot.C [code]
	Example of using multiroot finder based on GSL algorithm.
file	exampleTKDE.C [code]
	Example of using the TKDE class (kernel density estimator)
file	FeldmanCousins.C [code]
	Example macro of using the TFeldmanCousins class in root.
file	GammaFun.C [code]
	Example showing the usage of the major special math functions (gamma, beta, erf) in ROOT To execute the macro type in:
file	goftest.C [code]
	GoFTest tutorial macro
file	hlquantiles.C [code]
	Demo for quantiles (with highlight mode)
file	kdTreeBinning.C [code]
	kdTreeBinning tutorial: bin the data in cells of equal content using a kd-tree
file	Legendre.C [code]
	Example of first few Legendre Polynomials
file	Legendre.py [code]
	Example of first few Legendre Polynomials.
file	LegendreAssoc.C [code]
	Example describing the usage of different kinds of Associate Legendre Polynomials To execute the macro type in:
file	limit.C [code]
	This program demonstrates the computation of 95 % C.L.
file	mathBeta.C [code]
	Test the TMath::BetaDist and TMath::BetaDistI functions
file	mathcoreCDF.C [code]
	Example describing how to use the different cumulative distribution functions in ROOT.
file	mathcoreGenVector.C [code]
	Example macro testing available methods and operation of the GenVector classes.
file	mathcoreSpecFunc.C [code]
	Example macro describing how to use the special mathematical functions taking full advantage of the precision and speed of the C99 compliant environments.
file	mathcoreStatFunc.C [code]
	Example macro showing some major probability density functions in ROOT.
file	mathcoreStatFunc.py [code]
	Example macro showing some major probability density functions in ROOT.
file	mathcoreVectorCollection.C [code]
	Example showing how to write and read a std vector of ROOT::Math LorentzVector in a ROOT tree.
file	mathcoreVectorFloatIO.C [code]
	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.
file	mathcoreVectorIO.C [code]
	Example of I/O of a mathcore Lorentz Vectors in a Tree and comparison with a TLorentzVector.
file	mathGammaNormal.C [code]
	Tutorial illustrating the use of TMath::GammaDist and TMath::LogNormal
file	mathLaplace.C [code]
	Test the TMath::LaplaceDist and TMath::LaplaceDistI functions
file	mathmoreIntegration.C [code]
	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)
file	mathStudent.C [code]
	Tutorial illustrating the use of the Student and F distributions
file	multidimSampling.C [code]
	Example of sampling a multi-dim distribution using the DistSampler class NOTE: This tutorial must be run with ACLIC
file	normalDist.C [code]
	Tutorial illustrating the new statistical distributions functions (pdf, cdf and quantile)
file	normalDist.py [code]
	Tutorial illustrating the new statistical distributions functions (pdf, cdf and quantile)
file	permute.C [code]
	Tutorial illustrating the use of TMath::Permute can be run with:
file	principal.C [code]
	Principal Components Analysis (PCA) example
file	principal.py [code]
	Principal Components Analysis (PCA) example
file	quantiles.C [code]
	Demo for quantiles
file	quasirandom.C [code]
	Example of generating quasi-random numbers
file	Rolke.C [code]
	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
file	testrandom.C [code]
	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.
file	tStudent.C [code]
	Example macro describing the student t distribution
file	tStudent.py [code]
	Example macro describing the student t distribution
file	TSVDUnfoldExample.C [code]
	Data unfolding using Singular Value Decomposition
file	vavilov.C [code]
	Test of the TMath::Vavilov distribution