Here is a list of all modules:

[detail level 12345]

▼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
Matrix Linear Algebra	The ROOT Matrix Linear Algebra classes
TMinuit	The Minuit Minimization package
Minuit2 Minimization Library	New Object-oriented implementation of the MINUIT minimization package
Physics Vectors	The Physics Vectors classes
▼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