|
ROOT 6.10/00 Reference Guide |
Files | |
| file | Bessel.C [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 | 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 | 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 | 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 | permute.C [code] |
| Tutorial illustrating the use of TMath::Permute can be run with: | |
| file | principal.C [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 | TSVDUnfoldExample.C [code] |
| Data unfolding using Singular Value Decomposition. | |
| file | vavilov.C [code] |
| Test of the TMath::Vavilov distribution. | |