 |
ROOT
6.06/09
Reference Guide
|
|
ROOT
6.06/09
Reference Guide
|
| R Interface for Statistical Computing | |
| ▼Graphics | The graphics related classes |
| ▼Graphics' Backends | Graphics' Backends interface classes |
| Cocoa backend | Interface to MacOS native graphics system |
| Win32 backend | Interface to Windows graphics |
| X11 backend | Interface to X11 graphics |
| ▼2D Graphics | The 2D graphics related classes |
| libAfterImage interface | Classes interfacing to libAfterImage |
| FITS file | Interface to FITS file |
| Graphics pad | The TPad related classes |
| Basic graphics | The low level graphics classes |
| graphviz interface | Interface to the graphing package graphviz |
| Graphics file output | Interfaces to various file output formats |
| ▼3D Graphics | The 3D graphics related classes |
| Event Display | The Event Display classes |
| Basic 3D graphics. | The basic 3D classes |
| OpenGL rendering | OpenGL rendering and utility classes |
| Histogram Library | A general description of the Histogram library is documented in the class TH1 |
| Input/Output Library | The library collecting the ROOT classes dedicated to data input and output |
| ▼Math | The ROOT Mathematical Libraries |
| GenVector | Generic 2D, 3D and 4D vectors classes and their transformations (rotations) |
| ▼MathCore | The Core Mathematical Library of ROOT. See the MathCore description page |
| ▼Fitting and Parameter Estimation | Classes used for fitting (regression analysis) and estimation of parameter values given a data sample |
| Fit Method Classes | Classes describing Fit Method functions |
| Fit Data Classes | Classes for describing the input data for fitting |
| User Fitting classes | Main Classes used for fitting a given data set |
| ▼Random Classes | Pseudo-random numbers generator classes and for generation of random number distributions |
| QuasiRandom number generators and distributions | Classes for generating QuasiRandom numbers and based on GSL |
| ▼Function Classes and Interfaces | Interfaces (abstract classes) and Base classes used in MathCore and MathMore numerical methods for describing function classes |
| ▼Generic Function Evaluation Interfaces | Interface classes for evaluation of function object classes in one or multi-dimensions |
| Internal Functor Classes | Internal classes for implementing Functor and Functor1D classes |
| Parameteric Function Evaluation Interfaces. | Interfaces classes for evaluation of parametric functions |
| ▼Numerical Algorithms | Numerical Algorithm classes from the MathCore Library and MathMore Library libraries |
| One-dimensional Minimization | Classes for one-dimensional minimization |
| ▼Numerical Integration | Classes for numerical integration of functions |
| Numerical Monte Carlo Integration Classes | Classes implementing method for Monte Carlo Integration |
| Multi-dimensional Minimization | Classes implementing algorithms for multi-dimensional minimization |
| Numerical Differentiation | Classes for numerical differentiation |
| One-dimensional Root-Finding | Classes implementing algorithms for finding the roots of a one-dimensional function |
| Function Approximation (ChebyshevApprox) | Numerical algorithm from the MathMore library and implemented using the GSL library |
| Multidimensional ROOT finding | Classes for finding the roots of a multi-dimensional system |
| Interpolation Classes | Classes for interpolation of points |
| ▼Statistical functions | Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete) |
| Probability Density Functions (PDF) | Probability density functions of various statistical distributions (continuous and discrete) |
| Cumulative Distribution Functions (CDF) | Cumulative distribution functions of various distributions |
| Statistical functions from truncated distributions | Statistical functions for the truncated distributions |
| Quantile Functions | Inverse functions of the cumulative distribution functions and the inverse of the complement of the cumulative distribution functions for various distributions |
| Special functions | Special mathematical functions |
| ▼MathMore | The Mathematical library providing some advanced functionality and based on GSL. See the MathMore Library page |
| ▼Numerical Algorithms | Numerical Algorithm classes from the MathCore Library and MathMore Library libraries |
| One-dimensional Minimization | Classes for one-dimensional minimization |
| ▼Numerical Integration | Classes for numerical integration of functions |
| Numerical Monte Carlo Integration Classes | Classes implementing method for Monte Carlo Integration |
| Multi-dimensional Minimization | Classes implementing algorithms for multi-dimensional minimization |
| Numerical Differentiation | Classes for numerical differentiation |
| One-dimensional Root-Finding | Classes implementing algorithms for finding the roots of a one-dimensional function |
| Function Approximation (ChebyshevApprox) | Numerical algorithm from the MathMore library and implemented using the GSL library |
| Multidimensional ROOT finding | Classes for finding the roots of a multi-dimensional system |
| Interpolation Classes | Classes for interpolation of points |
| ▼Statistical functions | Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete) |
| Probability Density Functions (PDF) | Probability density functions of various statistical distributions (continuous and discrete) |
| Cumulative Distribution Functions (CDF) | Cumulative distribution functions of various distributions |
| Statistical functions from truncated distributions | Statistical functions for the truncated distributions |
| Quantile Functions | Inverse functions of the cumulative distribution functions and the inverse of the complement of the cumulative distribution functions for various distributions |
| Special functions | Special mathematical functions |
| QuasiRandom number generators and distributions | Classes for generating QuasiRandom numbers and based on GSL |
| TMinuit | The Minuit Minimization package |
| Minuit2 Minimization Library | New Object-oriented implementation of the MINUIT minimization package |
| ▼SMatrix | SMatrix Package for high performance vector and matrix computations |
| Expression Template Classes | |
| Generic Template Functions | These functions apply for any type T, such as a scalar, a vector or a matrix |
| Vector Template Functions | These functions apply to SVector types (and also to Vector expressions) and can return a vector expression or a scalar, like in the Dot product, or a matrix, like in the Tensor product |
| Matrix Template Functions | These function apply to matrices (and also Matrix expression) and can return a matrix expression of a particular defined type, like in the matrix multiplication or a vector, like in the matrix-vector product or a scalar like in the Similarity vector-matrix product |
| SMatrix Storage Representation | |
| Matrix and Vector classes | Classes representing Matrices and Vectors of arbitrary type and dimension |
| Unuran | |
| RooFit | RooFit toolkit classes. For documentation see (The RooFit Toolkit for Data Modeling)[http://root.cern.ch/drupal/content/roofit] |
| RooFitCore | Core RooFit classes |
| RooStats | RooStats is a package containing statistical tools built on top of RooFit |
| Tree Library | To store large quantities of same-class objects, ROOT provides the TTree and TNtuple classes |
ROOT 6.06/09 - Reference Guide Generated on Sun Dec 10 2017 22:29:05 using Doxygen 1.8.9.
