Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12345]

►NROOT	Namespace for new ROOT classes and functions
►NExperimental
CTFitResult
CTFunction
►NFit	Namespace for the fitting classes
►NFitUtil	Namespace defining utility free functions using in Fit for evaluating the various fit method functions (chi2, likelihood, etc..) given the data and the model function
CEvaluate
CIntegralEvaluator
CLikelihoodAux
CLikelihoodAux< double >
CBasicFCN	BasicFCN class: base class for the objective functions used in the fits It has a reference to the data and th emodel function used in the fit
CBinData	Class describing the binned data sets : vectors of x coordinates, y values and optionally error on y values and error on coordinates The dimension of the coordinate is free There are 4 different options:
CChi2FCN	Chi2FCN class for binnned fits using the least square methods
CDataOptions	DataOptions : simple structure holding the options on how the data are filled
CDataRange	Class describing the range in the coordinates it supports multiple range in a coordinate
CDummyDeleter
CFcnAdapter
CFitConfig	Class describing the configuration of the fit, options and parameter settings using the ROOT::Fit::ParameterSettings class
CFitData	Base class for all the fit data types: Stores the coordinates and the DataOptions
CFitResult	Class containg the result of the fit and all the related information (fitted parameter values, error, covariance matrix and minimizer result information) Contains a pointer also to the fitted (model) function, modified with the fit parameter values
CFitter	Fitter class, entry point for performing all type of fits
CLogLikelihoodFCN	LogLikelihoodFCN class for likelihood fits
CParameterSettings	Class, describing value, limits and step size of the parameters Provides functionality also to set/retrieve values, step sizes, limits and fix the parameters
CPoissonLikelihoodFCN	Class evaluating the log likelihood for binned Poisson likelihood fits it is template to distinguish gradient and non-gradient case
CSparseData
CUnBinData	Class describing the unbinned data sets (just x coordinates values) of any dimensions
►NMath
►NCholeskyDecompHelpers	Helpers for CholeskyDecomp
C_decomposer	Struct to do a Cholesky decomposition
C_decomposer< F, 0, M >	Struct to do a Cholesky decomposition (specialized, N = 0)
C_decomposer< F, 1, M >	Struct to do a Cholesky decomposition (specialized, N = 1)
C_decomposer< F, 2, M >	Struct to do a Cholesky decomposition (specialized, N = 2)
C_decomposer< F, 3, M >	Struct to do a Cholesky decomposition (specialized, N = 3)
C_decomposer< F, 4, M >	Struct to do a Cholesky decomposition (specialized, N = 4)
C_decomposer< F, 5, M >	Struct to do a Cholesky decomposition (specialized, N = 5)
C_decomposer< F, 6, M >	Struct to do a Cholesky decomposition (specialized, N = 6)
C_decomposerGenDim	Struct to do a Cholesky decomposition (general dimensionality)
C_inverter	Struct to obtain the inverse from a Cholesky decomposition
C_inverter< F, 0, M >	Struct to obtain the inverse from a Cholesky decomposition (N = 0)
C_inverter< F, 1, M >	Struct to obtain the inverse from a Cholesky decomposition (N = 1)
C_inverter< F, 2, M >	Struct to obtain the inverse from a Cholesky decomposition (N = 2)
C_inverter< F, 3, M >	Struct to obtain the inverse from a Cholesky decomposition (N = 3)
C_inverter< F, 4, M >	Struct to obtain the inverse from a Cholesky decomposition (N = 4)
C_inverter< F, 5, M >	Struct to obtain the inverse from a Cholesky decomposition (N = 5)
C_inverter< F, 6, M >	Struct to obtain the inverse from a Cholesky decomposition (N = 6)
C_inverterGenDim	Struct to obtain the inverse from a Cholesky decomposition (general dimensionality)
C_solver	Struct to solve a linear system using its Cholesky decomposition
C_solver< F, 0, V >	Struct to solve a linear system using its Cholesky decomposition (N=0)
C_solver< F, 1, V >	Struct to solve a linear system using its Cholesky decomposition (N=1)
C_solver< F, 2, V >	Struct to solve a linear system using its Cholesky decomposition (N=2)
C_solver< F, 3, V >	Struct to solve a linear system using its Cholesky decomposition (N=3)
C_solver< F, 4, V >	Struct to solve a linear system using its Cholesky decomposition (N=4)
C_solver< F, 5, V >	Struct to solve a linear system using its Cholesky decomposition (N=5)
C_solver< F, 6, V >	Struct to solve a linear system using its Cholesky decomposition (N=6)
C_solverGenDim	Struct to solve a linear system using its Cholesky decomposition (generalised dimensionality)
CPackedArrayAdapter	Adapter for packed arrays (to SMatrix indexing conventions)
►Ndetail
Cmanipulator
►NGenVector_detail
►CBitReproducible
CDB8
CBitReproducibleException
►Ngv_detail
CERROR_This_Rotation_Conversion_is_NOT_Supported
►NImpl
CPlane3D	Class describing a geometrical plane in 3 dimensions
CTransform3D	Basic 3D Transformation class describing a rotation and then a translation The internal data are a 3D rotation data (represented as a 3x3 matrix) and a 3D vector data
CTranslation3D	Class describing a 3 dimensional translation
►NRoots	Root-Finding Algorithms
CBisection	Roots::Bisection Bisection algorithm, simplest algorithm for bracketing the roots of a function, but slowest one
CBrent	Brent-Dekker algorithm which combines an interpolation strategy with the bisection algorithm See the GSL manual for more information
CFalsePos	False Position algorithm based on linear interpolation
CNewton	Newton algorithm, which computes the derivative at each iteration See the GSL manual for more information
CSecant	Secant algorithm, simplified version of Newton method, which does not require the derivative at every step
CSteffenson	Steffenson method, providing the fastes convergence
►NrowOffsetsUtils
Cindices
Cmake_indices
Cmake_indices_impl
Cmake_indices_impl< I, indices< Indices... >, N >
Cmake_indices_impl< N, indices< Indices... >, N >
CAdaptiveIntegratorMultiDim	Class for adaptive quadrature integration in multi-dimensions using rectangular regions
CAddOp	Addition Operation Class
CAddPolicy	Matrix addition policy
CAddPolicy< T, D1, D2, MatRepSym< T, D1 >, MatRepSym< T, D1 > >
CAssign	Structure to assign from an expression based to general matrix to general matrix
CAssign< T, D1, D2, A, MatRepSym< T, D1 >, MatRepStd< T, D1, D2 > >	Dummy Structure which flags an error to avoid assigment from expression based on a general matrix to a symmetric matrix
CAssign< T, D1, D2, A, MatRepSym< T, D1 >, MatRepSym< T, D1 > >	Structure to assign from an expression based to symmetric matrix to symmetric matrix
CAssignItr	Structure for assignment to a general matrix from iterator
CAssignItr< T, D1, D2, MatRepSym< T, D1 > >	Specialized structure for assignment to a symmetrix matrix from iterator
CAssignSym	Force Expression evaluation from general to symmetric
CAxisAngle	AxisAngle class describing rotation represented with direction axis (3D Vector) and an angle of rotation around that axis
CBaseIntegratorOptions	Base class for Numerical integration options common in 1D and multi-dimension This is an internal class and is not supposed to be instantiated by the user
CBasicFitMethodFunction	FitMethodFunction class Interface for objective functions (like chi2 and likelihood used in the fit) In addition to normal function interface provide interface for calculating each data contrinution to the function which is required by some algorithm (like Fumili)
CBasicMinimizer	Base Minimizer class, which defines the basic funcionality of various minimizer implementations (apart from Minuit and Minuit2) It provides support for storing parameter values, step size, parameter transofrmation etc
CBinaryOp	BinaryOperation class A class representing binary operators in the parse tree
CBinaryOpCopyL	Binary Operation class with value storage for the left argument
CBinaryOpCopyR	Binary Operation class with value storage for the right argument
CBoost	Lorentz boost class with the (4D) transformation represented internally by a 4x4 orthosymplectic matrix
CBoostX	Class representing a Lorentz Boost along the X axis, by beta
CBoostY	Class representing a Lorentz Boost along the Y axis, by beta
CBoostZ	Class representing a Lorentz Boost along the Z axis, by beta
CBrentMinimizer1D	User class for performing function minimization
CBrentRootFinder	Class for finding the root of a one dimensional function using the Brent algorithm
CCartesian2D	Class describing a 2D cartesian coordinate system (x, y coordinates)
CCartesian3D	Class describing a 3D cartesian coordinate system (x, y, z coordinates)
CChebyshevApprox	Class describing a Chebyshev series which can be used to approximate a function in a defined range [a,b] using Chebyshev polynomials
CChebyshevPol
CCholeskyDecomp	Class to compute the Cholesky decomposition of a matrix
CCholeskyDecompGenDim	Class to compute the Cholesky decomposition of a matrix
CCholInverter
CCompileTimeChecker
CCompileTimeChecker< false >
CConstant	Constant expression class A class representing constant expressions (literals) in the parse tree
CCylindrical3D	Class describing a cylindrical coordinate system based on rho, z and phi
CCylindricalEta3D	Class describing a cylindrical coordinate system based on eta (pseudorapidity) instead of z
CDefaultCoordinateSystemTag	DefaultCoordinateSystemTag Default tag for identifying any coordinate system
►CDelaunay2D	Class to generate a Delaunay triangulation of a 2D set of points
CTriangle
CDerivator	Class for computing numerical derivative of a function
CDeterminant	Detrminant for a general squared matrix Function to compute the determinant from a square matrix ( \( \det(A)\)) of dimension idim and order n
CDisplacementVector2D	Class describing a generic displacement vector in 2 dimensions
CDisplacementVector3D	Class describing a generic displacement vector in 3 dimensions
CDistSampler	Interface class for generic sampling of a distribution, i.e
CDistSamplerOptions	DistSampler options class
CDivOp	Division (element-wise) Operation Class
CEulerAngles	EulerAngles class describing rotation as three angles (Euler Angles)
CEvaluatorOneDim
CEvaluatorOneDim< const ROOT::Math::IParamMultiFunction & >
CExpr
CFabs	Unary abs Operation Class
CFactory	Factory class holding static functions to create the interfaces like ROOT::Math::Minimizer via the Plugin Manager
CFastInverter	Fast Matrix Inverter class Class to specialize calls to Dinv
CFastInverter< 3 >	3x3 direct matrix inversion using Cramer Rule use only for FastInverter
CFastInverter< 4 >	4x4 matrix inversion using Cramers rule
CFastInverter< 5 >	5x5 Matrix inversion using Cramers rule
CFunctor	Documentation for class Functor class
CFunctor1D	Functor1D class for one-dimensional functions
CFunctorGradHandler	Functor Handler class for gradient functions where both callable objects are provided for the function evaluation (type Func) and for the gradient (type GradFunc)
CFunctorHandler	Functor Handler class is responsible for wrapping any other functor and pointer to free C functions
CFunctorImpl	FunctorImpl is a base class for the functor handler implementation class
CGaussIntegrator	User class for performing function integration
CGaussLegendreIntegrator	User class for performing function integration
CGenAlgoOptions	Class implementing generic options for a numerical algorithm Just store the options in a map of string-value pairs
CGeneticMinimizer	GeneticMinimizer
CGeneticMinimizerParameters
CGenVector_exception
CGlobalCoordinateSystemTag	Tag for identifying vectors based on a global coordinate system
CGoFTest
CGradFunctor	GradFunctor class for Multidimensional gradient functions
CGradFunctor1D	GradFunctor1D class for one-dimensional gradient functions
CGSL1DMinimizerWrapper	Wrapper class for gsl_min_fminimizer structure
CGSLChebSeries	Wrapper class for C struct gsl_cheb_series
CGSLDerivator	Class for computing numerical derivative of a function based on the GSL numerical algorithm This class is implemented using the numerical derivatives algorithms provided by GSL (see GSL Online Manual )
CGSLFunctionAdapter	Class for adapting any C++ functor class to C function pointers used by GSL
CGSLFunctionDerivWrapper	Class to wrap a gsl_function_fdf (with derivatives)
CGSLFunctionWrapper	Wrapper class to the gsl_function C structure
CGSLIntegrationWorkspace
CGSLIntegrator	Class for performing numerical integration of a function in one dimension
CGSLInterpolator	Interpolation class based on GSL interpolation functions
CGSLMCIntegrationWorkspace
CGSLMCIntegrator
CGSLMinimizer	GSLMinimizer class
CGSLMinimizer1D	Minimizer for arbitrary one dimensional functions
CGSLMiserIntegrationWorkspace	Workspace for MISER
CGSLMonteFunctionAdapter
CGSLMonteFunctionWrapper	Wrapper to a multi-dim function withtout derivatives for Monte Carlo multi-dimensional integration algorithm
CGSLMultiFit	GSLMultiFit, internal class for implementing GSL non linear least square GSL fitting
CGSLMultiFitFunctionAdapter	Class for adapting a C++ functor class to C function pointers used by GSL MultiFit Algorithm The templated C++ function class must implement:
CGSLMultiFitFunctionWrapper	Wrapper to a multi-dim function withtout derivatives for multi-dimensional minimization algorithm
CGSLMultiMinDerivFunctionWrapper	Wrapper for a multi-dimensional function with derivatives used in GSL multidim minimization algorithm
CGSLMultiMinFunctionAdapter	Class for adapting any multi-dimension C++ functor class to C function pointers used by GSL MultiMin algorithms
CGSLMultiMinFunctionWrapper	Wrapper to a multi-dim function withtout derivatives for multi-dimensional minimization algorithm
CGSLMultiMinimizer	GSLMultiMinimizer class , for minimizing multi-dimensional function using derivatives
CGSLMultiRootBaseSolver	GSLMultiRootBaseSolver, internal class for implementing GSL multi-root finders This is the base class for GSLMultiRootSolver (solver not using derivatives) and GSLMUltiRootDerivSolver (solver using derivatives)
CGSLMultiRootDerivFunctionWrapper	Wrapper to a multi-dim function with derivatives for multi roots algorithm
CGSLMultiRootDerivSolver	GSLMultiRootDerivSolver, internal class for implementing GSL multi-root finders using derivatives
CGSLMultiRootFinder	Class for Multidimensional root finding algorithms bassed on GSL
CGSLMultiRootFunctionAdapter	Class for adapting a C++ functor class to C function pointers used by GSL MultiRoot Algorithm The templated C++ function class must implement:
CGSLMultiRootFunctionWrapper	Wrapper to a multi-dim function without derivatives for multi roots algorithm
CGSLMultiRootSolver	GSLMultiRootSolver, internal class for implementing GSL multi-root finders not using derivatives
CGSLNLSMinimizer	GSLNLSMinimizer class for Non Linear Least Square fitting It Uses the Levemberg-Marquardt algorithm from GSL Non Linear Least Square fitting
CGSLPlainIntegrationWorkspace
CGSLQRngNiederreiter2	Niederreiter generator gsl_qrng_niederreiter_2 from here
CGSLQRngSobol	Sobol generator gsl_qrng_sobol from here
CGSLQRngWrapper	GSLQRngWrapper class to wrap gsl_qrng structure
CGSLQuasiRandomEngine	GSLQuasiRandomEngine Base class for all GSL quasi random engines, normally user instantiate the derived classes which creates internally the generator and uses the class ROOT::Math::QuasiRandom
CGSLRandomEngine	GSLRandomEngine Base class for all GSL random engines, normally user instantiate the derived classes which creates internally the generator
CGSLRngCMRG	Combined multiple recursive generator (L'Ecuyer) see here
CGSLRngGFSR4	Lagged Fibonacci generator by Ziff see here
CGSLRngMinStd	MINSTD generator (Park and Miller) see here
CGSLRngMixMax	MixMax generator based on ROOT::Math::MixMaxEngine of N=240
CGSLRngMRG	5-th order multiple recursive generator (L'Ecuyer, Blouin and Coutre) see here
CGSLRngMT	Mersenne-Twister generator gsl_rng_mt19937 from here
CGSLRngRand	BSD rand() generator gsl_rmg_rand from here
CGSLRngRanLux	Old Ranlux generator (James, Luscher) (default luxury level, p = 223) (This is eequivalent to TRandom1 with default luxury level) see here
CGSLRngRanLuxD1	Double precision (48 bits) version of Second generation of Ranlux generator with luxury level of 1 (It throws away 202 value for every 12 used) see here
CGSLRngRanLuxD2	Double precision (48 bits) version of Second generation of Ranlux generator with luxury level of 2 (It throws away 397 value for every 12 used) see here
CGSLRngRanLuxS1	Second generation of Ranlux generator for single precision with luxury level of 1 (It throws away 202 values for every 12 used) see here
CGSLRngRanLuxS2	Second generation of Ranlux generator for Single precision with luxury level of 2 (It throws away 397 value for every 12 used) see here
CGSLRngRanMar	RANMAR generator see here
CGSLRngROOTWrapper
CGSLRngTaus	Tausworthe generator by L'Ecuyer see here
CGSLRngWrapper	GSLRngWrapper class to wrap gsl_rng structure
CGSLRootFdFSolver	Root-Finder with derivatives implementation class using GSL
CGSLRootFinder	Base class for GSL Root-Finding algorithms for one dimensional functions which do not use function derivatives
CGSLRootFinderDeriv	Base class for GSL Root-Finding algorithms for one dimensional functions which use function derivatives
CGSLRootFSolver	Root-Finder implementation class using GSL
CGSLSimAnFunc	GSLSimAnFunc class description
CGSLSimAnMinimizer	GSLSimAnMinimizer class for minimization using simulated annealing using the algorithm from GSL
CGSLSimAnnealing	GSLSimAnnealing class for performing a simulated annealing search of a multidimensional function
CGSLSimAnParams	Structure holding the simulated annealing parameters
CGSLVegasIntegrationWorkspace	Workspace for VEGAS
CIBaseFunctionMultiDimTempl	Documentation for the abstract class IBaseFunctionMultiDim
CIBaseFunctionOneDim	Interface (abstract class) for generic functions objects of one-dimension Provides a method to evaluate the function given a value (simple double) by implementing operator() (const double )
CIBaseParam	Documentation for the abstract class IBaseParam
CIGradientFunctionMultiDimTempl	Interface (abstract class) for multi-dimensional functions providing a gradient calculation
CIGradientFunctionOneDim	Interface (abstract class) for one-dimensional functions providing a gradient calculation
CIGradientMultiDimTempl	Gradient interface (abstract class) defining the signature for calculating the gradient of a multi-dimensional function
CIGradientOneDim	Specialized Gradient interface(abstract class) for one dimensional functions It provides a method to evaluate the derivative of the function, Derivative and a method to evaluate at the same time the function and the derivative FdF
CIMinimizer1D	Interface class for numerical methods for one-dimensional minimization
CIntegrandTransform	Auxiliary inner class for mapping infinite and semi-infinite integrals
CIntegratorMultiDim	User class for performing multidimensional integration
CIntegratorMultiDimOptions	Numerical multi dimensional integration options
CIntegratorOneDim	User Class for performing numerical integration of a function in one dimension
CIntegratorOneDimOptions	Numerical one dimensional integration options
CInterpolator	Class for performing function interpolation of points
CInverter	Matrix Inverter class Class to specialize calls to Dinv
CInverter< 0 >	Inverter<0>
CInverter< 1 >	1x1 matrix inversion \(a_{11} \to 1/a_{11}\)
CInverter< 2 >	2x2 matrix inversion using Cramers rule
CIOptions	Generic interface for defining configuration options of a numerical algorithm
CIParametricFunctionMultiDimTempl	IParamFunction interface (abstract class) describing multi-dimensional parameteric functions It is a derived class from ROOT::Math::IBaseFunctionMultiDim and ROOT::Math::IBaseParam
CIParametricFunctionOneDim	Specialized IParamFunction interface (abstract class) for one-dimensional parametric functions It is a derived class from ROOT::Math::IBaseFunctionOneDim and ROOT::Math::IBaseParam
CIParametricGradFunctionMultiDimTempl	Interface (abstract class) for parametric gradient multi-dimensional functions providing in addition to function evaluation with respect to the coordinates also the gradient with respect to the parameters, via the method ParameterGradient
CIParametricGradFunctionOneDim	Interface (abstract class) for parametric one-dimensional gradient functions providing in addition to function evaluation with respect the coordinates also the gradient with respect to the parameters, via the method ParameterGradient
►CIpoptMinimizer	IpoptMinimizer class
CInternalTNLP	Internal class to create a TNLP object, required for Ipopt minimization in c++, every method is overloaded to pass the information to Ipopt solvers
CIRootFinderMethod	Interface for finding function roots of one-dimensional functions
CKahanSum	The Kahan compensate summation algorithm significantly reduces the numerical error in the total obtained by adding a sequence of finite precision floating point numbers
►CKDTree
CBaseNode
CBinNode
CComparePoints
CCut
CHeadNode
Citerator
CSplitNode
CTerminalNode
CKelvinFunctions	This class calculates the Kelvin functions Ber(x), Bei(x), Ker(x), Kei(x), and their first derivatives
CLCGEngine
CLocalCoordinateSystemTag	Tag for identifying vectors based on a local coordinate system
CLorentzRotation	Lorentz transformation class with the (4D) transformation represented by a 4x4 orthosymplectic matrix
CLorentzVector	Class describing a generic LorentzVector in the 4D space-time, using the specified coordinate system for the spatial vector part
CLSResidualFunc	LSResidualFunc class description
CMathMoreLib
CMatRepStd	Expression wrapper class for Matrix objects
CMatRepSym	MatRepSym Matrix storage representation for a symmetric matrix of dimension NxN This class is a template on the contained type and on the symmetric matrix size, N
CMatrixMulOp	Class for Matrix-Matrix multiplication
CMemFunHandler	Functor Handler to Wrap pointers to member functions The member function type must be (XXX means any name is allowed) : double XXX ( double x) for 1D functions and double XXXX (const double *x) for multi-dimensional functions
CMemGradFunHandler	Functor Handler to Wrap pointers to member functions for the evaluation of the function and the gradient
CMersenneTwisterEngine	Random number generator class based on M
Cmeta_col_dot
Cmeta_col_dot< 0 >
Cmeta_dot
Cmeta_dot< 0 >
Cmeta_mag
Cmeta_mag< 0 >
Cmeta_matrix_dot
Cmeta_matrix_dot< 0 >
Cmeta_row_dot
Cmeta_row_dot< 0 >
CMinimizer	Abstract Minimizer class, defining the interface for the various minimizer (like Minuit2, Minuit, GSL, etc..) Plug-in's exist in ROOT to be able to instantiate the derived classes like ROOT::Math::GSLMinimizer or ROOT::Math::Minuit2Minimizer via the plug-in manager
CMinimizerOptions	Minimizer options
CMinimizerVariableTransformation	Base class for MinimizerVariable transformations defining the functions to deal with bounded parameters
CMinimTransformFunction	MinimTransformFunction class to perform a transformations on the variables to deal with fixed or limited variables (support both double and single bounds) The class manages the passed function pointer
CMinimTransformVariable	MinimTransformVariable class Contains meta information of the variables such as bounds, fix flags and deals with transformation of the variable The class does not contain the values and the step size (error) of the variable This is an internal class used by the MinimTransformFunction class
CMinOp	Subtraction Operation Class
CMinus	Unary Minus Operation Class
CMinusEquals	Evaluate the expression performing a -= operation Need to check whether creating a temporary object with the expression result (like in op: A -= A * B )
CMinusEquals< T, D1, D2, A, MatRepSym< T, D1 >, MatRepStd< T, D1, D2 > >	Specialization for symmetrix -= general : NOT Allowed operation
CMinusEquals< T, D1, D2, A, MatRepSym< T, D1 >, MatRepSym< T, D1 > >	Specialization for symmetric matrices
CMiserParameters	Structures collecting parameters for MISER multidimensional integration
CMixMaxEngine	MixMaxEngine is a wrapper class for the MIXMAX Random number generator
CMixMaxEngineImpl
CMixMaxEngineImpl< ROOT_MM_N >
CMulOp	Multiplication (element-wise) Operation Class
CMultiDimParamFunctionAdapter	MultiDimParamFunctionAdapter class to wrap a one-dimensional parametric function in a multi dimensional parameteric function interface This is used typically in fitting where internally the function is stored as multidimension
CMultiDimParamGradFunctionAdapter	MultiDimParamGradFunctionAdapter class to wrap a one-dimensional parametric gradient function in a multi dimensional parameteric gradient function interface This is used typically in fitting where internally the function is stored as multidimension
CMultiNumGradFunction	MultiNumGradFunction class to wrap a normal function in a gradient function using numerical gradient calculation provided by the class Derivator (based on GSL numerical derivation)
CMultPolicy	Matrix-matrix multiplication policy
CNullTypeFunc1D
COneDimMultiFunctionAdapter	OneDimMultiFunctionAdapter class to wrap a multidimensional function in one dimensional one
COneDimParamFunctionAdapter	OneDimParamFunctionAdapter class to wrap a multi-dim parameteric function in one dimensional one
CParamFunction	Base template class for all Parametric Functions
CParamFunctionBase	Class defining the signature for multi-dim parametric functions
►CParamFunctorHandler	ParamFunctor Handler class is responsible for wrapping any other functor and pointer to free C functions
CFuncEvaluator
CFuncEvaluator< F *, T >
CFuncEvaluator< F *const, T >
CParamFunctorTempl	Param Functor class for Multidimensional functions
►CParamMemFunHandler	ParamFunctor Handler to Wrap pointers to member functions
CMemFuncEvaluator
CPlaceExpr
CPlaceExpr< T, D1, D2, D3, D4, A, MatRepSym< T, D1 >, MatRepStd< T, D3, D4 > >
CPlaceExpr< T, D1, D2, D3, D4, A, MatRepSym< T, D1 >, MatRepSym< T, D3 > >
CPlaceMatrix	Structure to deal when a submatrix is placed in a matrix
CPlaceMatrix< T, D1, D2, D3, D4, MatRepSym< T, D1 >, MatRepStd< T, D3, D4 > >
CPlaceMatrix< T, D1, D2, D3, D4, MatRepSym< T, D1 >, MatRepSym< T, D3 > >
CPlainParameters
CPlusEquals	Evaluate the expression performing a += operation Need to check whether creating a temporary object with the expression result (like in op: A += A * B )
CPlusEquals< T, D1, D2, A, MatRepSym< T, D1 >, MatRepStd< T, D1, D2 > >	Specialization for symmetrix += general : NOT Allowed operation
CPlusEquals< T, D1, D2, A, MatRepSym< T, D1 >, MatRepSym< T, D1 > >	Specialization for symmetric matrices Evaluate the expression performing a += operation for symmetric matrices Need to have a separate functions to avoid to modify two times the off-diagonal elements (i.e applying two times the expression) Need to check whether creating a temporary object with the expression result (like in op: A += A * B )
CPolar2D	Class describing a polar 2D coordinate system based on r and phi Phi is restricted to be in the range [-PI,PI)
CPolar3D	Class describing a polar coordinate system based on r, theta and phi Phi is restricted to be in the range [-PI,PI)
CPolynomial	Parametric Function class describing polynomials of order n
CPositionVector2D	Class describing a generic position vector (point) in 2 dimensions
CPositionVector3D	Class describing a generic position vector (point) in 3 dimensions
CPtEtaPhiE4D	Class describing a 4D cylindrical coordinate system using Pt , Phi, Eta and E (or rho, phi, eta , T) The metric used is (-,-,-,+)
CPtEtaPhiM4D	Class describing a 4D cylindrical coordinate system using Pt , Phi, Eta and M (mass) The metric used is (-,-,-,+)
CPxPyPzE4D	Class describing a 4D cartesian coordinate system (x, y, z, t coordinates) or momentum-energy vectors stored as (Px, Py, Pz, E)
CPxPyPzM4D	Class describing a 4D coordinate system or momentum-energy vectors stored as (Px, Py, Pz, M)
CQuasiRandom	User class for MathMore random numbers template on the Engine type
CQuaternion	Rotation class with the (3D) rotation represented by a unit quaternion (u, i, j, k)
CRandom	Documentation for the Random class
CRandomFunctions
CRandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >	Specialized implementation of the Random functions based on the GSL library
CRandomFunctionsImpl	Definition of the generic impelmentation class for the RandomFunctions
CRandomFunctionsImpl< TRandomEngine >	Implementation class for the RandomFunction for all the engined that derives from TRandomEngine class, which defines an interface which has TRandomEngine::Rndm() In this way we can have a common implementation for the RandomFunctions
CRetrieveMatrix	Structure for getting sub matrices We have different cases according to the matrix representations
CRetrieveMatrix< T, D1, D2, D3, D4, MatRepSym< T, D1 >, MatRepStd< T, D3, D4 > >
CRetrieveMatrix< T, D1, D2, D3, D4, MatRepSym< T, D1 >, MatRepSym< T, D3 > >
CRichardsonDerivator	User class for calculating the derivatives of a function
CRMinimizer	RMinimizer class
CRootFinder	User Class to find the Root of one dimensional functions
CRotation3D	Rotation class with the (3D) rotation represented by a 3x3 orthogonal matrix
CRotationX	Rotation class representing a 3D rotation about the X axis by the angle of rotation
CRotationY	Rotation class representing a 3D rotation about the Y axis by the angle of rotation
CRotationZ	Rotation class representing a 3D rotation about the Z axis by the angle of rotation
CRotationZYX	Rotation class with the (3D) rotation represented by angles describing first a rotation of an angle phi (yaw) about the Z axis, followed by a rotation of an angle theta (pitch) about the Y axis, followed by a third rotation of an angle psi (roll) about the X axis
CRowOffsets	Static structure to keep the conversion from (i,j) to offsets in the storage data for a symmetric matrix
CSDeterminant	Dsfact
CSinVariableTransformation	Sin Transformation class for dealing with double bounded variables
CSInverter	Dsinv
CSkipFunction
CSkipFunction< 0 >
►CSMatrix	SMatrix: a generic fixed size D1 x D2 Matrix class
CSMatrixRow
CSMatrixRow_const
CSMatrixIdentity
CSMatrixNoInit
CSqr	Unary Square Operation Class
CSqrt	Unary Square Root Operation Class
CSqrtLowVariableTransformation	Sqrt Transformation class for dealing with lower bounded variables
CSqrtUpVariableTransformation	Sqrt Transformation class for dealing with upper bounded variables
CStdEngine	Class to wrap engines fron the C++ standard random library in the ROOT Random interface
CStdEngineType
CStdEngineType< std::knuth_b >
CStdEngineType< std::minstd_rand >
CStdEngineType< std::mt19937 >
CStdEngineType< std::mt19937_64 >
CStdEngineType< std::random_device >
CStdEngineType< std::ranlux24 >
CStdEngineType< std::ranlux48 >
CStdRandomEngine
CSVector	SVector: a generic fixed size Vector class
CTDataPoint
CTDataPointN
CTensorMulOp	Class for Tensor Multiplication (outer product) of two vectors giving a matrix
CTRandomEngine
CTransposeOp	Class for Transpose Operations
CTranspPolicy	Matrix transpose policy
CTranspPolicy< T, D1, D2, MatRepSym< T, D1 > >
CUnaryOp	UnaryOperation class A class representing unary operators in the parse tree
CVavilov	Base class describing a Vavilov distribution
CVavilovAccurate	Class describing a Vavilov distribution
CVavilovAccurateCdf	Class describing the Vavilov cdf
CVavilovAccuratePdf	Class describing the Vavilov pdf
CVavilovAccurateQuantile	Class describing the Vavilov quantile function
CVavilovFast	Class describing a Vavilov distribution
CVecExpr	Expression wrapper class for Vector objects
CVectorMatrixColOp	Class for Vector-Matrix multiplication
CVectorMatrixRowOp
CVegasParameters	Structures collecting parameters for VEGAS multidimensional integration FOr implementation of default parameters see file mathmore/src/GSLMCIntegrationWorkspace.h
CVirtualIntegrator	Abstract class for all numerical integration methods (1D and multi-dim) Interface defining the common methods for the numerical integrator classes of one and multi dimensions The derived class VirtualIntegratorOneDim defines the methods for one-dimensional integration
CVirtualIntegratorMultiDim	Interface (abstract) class for multi numerical integration It must be implemented by the concrete Integrator classes like ROOT::Math::GSLMCIntegrator
CVirtualIntegratorOneDim	Interface (abstract) class for 1D numerical integration It must be implemented by the concrate Integrator classes like ROOT::Math::GSLIntegrator
CWrappedFunction	Template class to wrap any C++ callable object which takes one argument i.e
CWrappedMemFunction	Template class to wrap any member function of a class taking a double and returning a double in a 1D function interface For example, if you have a class like: struct X { double Eval(double x); }; you can wrapped in the following way: WrappedMemFunction<X, double ( X::* ) (double) > f;
CWrappedMemMultiFunction
CWrappedMultiFunction	Template class to wrap any C++ callable object implementing operator() (const double * x) in a multi-dimensional function interface
CWrappedParamFunction	WrappedParamFunction class to wrap any multi-dimensional function pbject implementing the operator()(const double * x, const double * p) in an interface-like IParamFunction with a vector storing and caching internally the parameter values
CWrappedParamFunctionGen	WrappedParamGenFunction class to wrap any multi-dimensional function implementing the operator()(const double * ) in an interface-like IParamFunction, by fixing some of the variables and define them as parameters
►NMinuit2
CABObj
CABObj< sym, LASymMatrix, double >
CABObj< vec, LAVector, double >
CABProd
CABSum
CAlgebraicProdType
CAlgebraicProdType< gen, gen >
CAlgebraicProdType< gen, sym >
CAlgebraicProdType< gen, vec >
CAlgebraicProdType< sym, gen >
CAlgebraicProdType< sym, sym >
CAlgebraicProdType< sym, vec >
CAlgebraicProdType< T, T >
CAlgebraicProdType< vec, gen >
CAlgebraicProdType< vec, sym >
CAlgebraicSumType
CAlgebraicSumType< gen, vec >
CAlgebraicSumType< sym, vec >
CAlgebraicSumType< T, T >
CAlgebraicSumType< vec, gen >
CAlgebraicSumType< vec, sym >
CAnalyticalGradientCalculator
CBasicFunctionGradient
►CBasicFunctionMinimum	Result of the minimization; both internal and external (MnUserParameterState) representation available For the parameters at the Minimum
CMnAboveMaxEdm
CMnReachedCallLimit
►CBasicMinimumError	Internal Class containing the error information on the estimated minimum : Error matrix + dcovar + additional flags for quality and validity checks
CMnHesseFailed
CMnInvertFailed
CMnMadePosDef
CMnNotPosDef
CBasicMinimumParameters
CBasicMinimumSeed
CBasicMinimumState
CCombinedMinimizer	Combined minimizer: combination of Migrad and Simplex
CCombinedMinimumBuilder
CContoursError
CDavidonErrorUpdator	Update of the covariance matrix for the Variable Metric minimizer (MIGRAD)
CFCNAdapter	Template wrapped class for adapting to FCNBase signature
CFCNBase	Interface (abstract class) defining the function to be minimized, which has to be implemented by the user
CFCNGradAdapter	Template wrapped class for adapting to FCNBase signature a IGradFunction
CFCNGradientBase	Extension of the FCNBase for providing the analytical Gradient of the function
CFumiliBuilder	Builds the FunctionMinimum using the Fumili method
CFumiliChi2FCN	Extension of the FCNBase for the Fumili method
CFumiliErrorUpdator	In the case of the Fumili algorithm the Error matrix (or the Hessian matrix containing the (approximate) second derivatives) is calculated using a linearization of the model function negleting second derivatives
CFumiliFCNAdapter	Template wrapped class for adapting to FumiliFCNBase signature
CFumiliFCNBase	Extension of the FCNBase for the Fumili method
CFumiliGradientCalculator
CFumiliMaximumLikelihoodFCN	Extension of the FCNBase for the Fumili method
CFumiliMinimizer	Instantiates the seed generator and Minimum builder for the Fumili minimization method
CFumiliStandardChi2FCN	Class implementing the standard chi square function, which is the sum of the squares of the figures-of-merit calculated for each measurement point, the individual figures-of-merit being: (the Value predicted by the model-measured Value)/standard deviation
CFumiliStandardMaximumLikelihoodFCN	Class implementing the Elements member function for the standard maximum likelihood method
CFunctionGradient
CFunctionMinimizer	Base class for function minimizers; user may give FCN or FCN with Gradient, Parameter starting values and initial Error guess (sigma) (or "step size"), or Parameter starting values and initial covariance matrix; covariance matrix is stored in Upper triangular packed storage format, e.g
►CFunctionMinimum	Class holding the full result of the minimization; both internal and external (MnUserParameterState) representation available for the parameters at the Minimum
CMnAboveMaxEdm
CMnReachedCallLimit
Cgen
CGenericFunction	Class from which all the other classes, representing functions, inherit
CGradientCalculator	Interface class for gradient calculators
CHessianGradientCalculator	HessianGradientCalculator: class to calculate Gradient for Hessian
CInitialGradientCalculator	Class to calculate an initial estimate of the gradient
CLASymMatrix	Class describing a symmetric matrix of size n
CLAVector
CMatrixInverse
CMatrixInverse< vec, M, T >
CMinimumBuilder
►CMinimumError	MinimumError keeps the inv
CMnHesseFailed
CMnInvertFailed
CMnMadePosDef
CMnNotPosDef
CMinimumErrorUpdator
CMinimumParameters
CMinimumSeed	MinimumSeed contains the starting values for the minimization produced by the SeedGenerator
CMinimumSeedGenerator	Base class for seed generators (starting values); the seed generator prepares initial starting values from the input (MnUserParameterState) for the minimization;
CMinimumState	MinimumState keeps the information (position, Gradient, 2nd deriv, etc) after one minimization step (usually in MinimumBuilder)
CMinosError	Class holding the result of Minos (lower and upper values) for a specific parameter
CMinuit2Minimizer	Minuit2Minimizer class implementing the ROOT::Math::Minimizer interface for Minuit2 minimization algorithm
CMinuitParameter	Class for the individual Minuit Parameter with Name and number; contains the input numbers for the minimization or the output result from minimization; possible interactions: Fix/release, set/remove limits, set Value/error;
CMnApplication	Application interface class for minimizers (migrad, simplex, Minimize, Scan) User normally instantiates the derived class like ROOT::Minuit2::MnMigrad for using Migrad for minimization
CMnContours	API class for Contours Error analysis (2-dim errors); minimization has to be done before and Minimum must be valid; possibility to ask only for the points or the points and associated Minos errors;
CMnCovarianceSqueeze	Class to reduce the covariance matrix when a parameter is fixed by removing the corresponding row and index
►CMnCross
CCrossFcnLimit
CCrossNewMin
CCrossParLimit
CMnEigen	API class for calculating the eigenvalues of symmetric matrix
CMnFcn	Wrapper class to FCNBase interface used internally by Minuit
CMnFumiliMinimize	API class for minimization using Fumili technology; allows for user interaction: set/change parameters, do minimization, change parameters, re-do minimization etc
CMnFunctionCross	MnFunctionCross
CMnGlobalCorrelationCoeff	Class for global correlation coefficient
CMnHesse	API class for calculating the numerical covariance matrix (== 2x Inverse Hessian == 2x Inverse 2nd derivative); can be used by the user or Minuit itself
CMnLineSearch	Implements a 1-dimensional minimization along a given direction (i.e
CMnMachinePrecision	Determines the relative floating point arithmetic precision
CMnMigrad	API class for minimization using Variable Metric technology ("MIGRAD"); allows for user interaction: set/change parameters, do minimization, change parameters, re-do minimization etc
CMnMinimize	API class for minimization using Variable Metric technology ("MIGRAD"); allows for user interaction: set/change parameters, do minimization, change parameters, re-do minimization etc
CMnMinos	API class for Minos Error analysis (asymmetric errors); minimization has to be done before and Minimum must be valid; possibility to ask only for one side of the Minos Error;
CMnParabola	This class defines a parabola of the form a*x*x + b*x + c
CMnParabolaFactory
CMnParabolaPoint	A point of a parabola
CMnParameterScan	Scans the values of FCN as a function of one Parameter and retains the best function and Parameter values found
CMnPlot	MnPlot produces a text-screen graphical output of (x,y) points, e.g
CMnPosDef	Force the covariance matrix to be positive defined by adding extra terms in the diagonal
CMnPrint
CMnRefCountedPointer
CMnReferenceCounter
CMnScan	API class for minimization using a scan method to find the minimum; allows for user interaction: set/change parameters, do minimization, change parameters, re-do minimization etc
CMnSeedGenerator	Concrete implementation of the MinimumSeedGenerator interface; used within ModularFunctionMinimizer;
CMnSimplex	API class for minimization using the Simplex method, which does not need and use the derivatives of the function, but only function values
CMnStrategy	API class for defining three levels of strategies: low (0), medium (1), high (>=2); acts on: Migrad (behavioural), Minos (lowers strategy by 1 for Minos-own minimization), Hesse (iterations), Numerical2PDerivative (iterations)
CMnTiny
CMnTraceObject
CMnUserCovariance	Class containing the covariance matrix data represented as a vector of size n*(n+1)/2 Used to hide internal matrix representation to user
CMnUserFcn	Wrapper used by Minuit of FCN interface containing a reference to the transformation object
CMnUserParameters	API class for the user interaction with the parameters; serves as input to the minimizer as well as output from it; users can interact: Fix/release parameters, set values and errors, etc
CMnUserParameterState	Class which holds the external user and/or internal Minuit representation of the parameters and errors; transformation internal <-> external on demand;
CMnUserTransformation	Class dealing with the transformation between user specified parameters (external) and internal parameters used for minimization
CMnVectorTransform
CModularFunctionMinimizer	Base common class providing the API for all the minimizer Various Minimize methods are provided varying on the type of FCN function passesd and on the objects used for the parameters
CMPIProcess
CMPITerminate
CNegativeG2LineSearch	In case that one of the components of the second derivative g2 calculated by the numerical Gradient calculator is negative, a 1dim line search in the direction of that component is done in order to find a better position where g2 is again positive
CNumerical2PGradientCalculator	Class performing the numerical gradient calculation
CParametricFunction	Function which has parameters
CScanBuilder	Performs a minimization using the simplex method of Nelder and Mead (ref
CScanMinimizer	Class implementing the required methods for a minimization using SCAN API is provided in the upper ROOT::Minuit2::ModularFunctionMinimizer class
CSimplexBuilder	Performs a minimization using the simplex method of Nelder and Mead (ref
CSimplexMinimizer	Class implementing the required methods for a minimization using Simplex
CSimplexParameters	Class describing the simplex set of points (f(x), x ) which evolve during the minimization iteration process
CSimplexSeedGenerator	Generate Simplex starting point (state)
CSinParameterTransformation	Class for the transformation for double-limited parameter Using a sin function one goes from a double-limited parameter range to an unlimited one
CSqrtLowParameterTransformation	Transformation from external to internal Parameter based on sqrt(1 + x**2)
CSqrtUpParameterTransformation	Transformation from external to internal Parameter based on sqrt(1 + x**2)
CStackAllocator	StackAllocator controls the memory allocation/deallocation of Minuit
CStackAllocatorHolder
CStackError
CStackOverflow	Define stack allocator symbol
Csym
CVariableMetricBuilder	Build (find) function minimum using the Variable Metric method (MIGRAD)
CVariableMetricEDMEstimator
CVariableMetricMinimizer	Instantiates the SeedGenerator and MinimumBuilder for Variable Metric Minimization method
Cvec
CVectorOuterProduct
►NTMath	TMath
CLimits
CBinaryOpPolicy
CCompareAsc
CCompareDesc
CContDist	Free functions adapter needed by UNURAN for onedimensional continuous distributions
CDiscrDist	Free functions adapter needed by UNURAN for one-dimensional discrete distribution
CHelperOps
CMultiDist	Free functions adapter needed by UNURAN for multidimensional cont distribution
Crng_state_st
CTComplex
CTDecompBase	Decomposition Base class
CTDecompBK	The Bunch-Kaufman diagonal pivoting method decomposes a real symmetric matrix A using
CTDecompChol	Cholesky Decomposition class
CTDecompLU	LU Decomposition class
CTDecompQRH	QR Decomposition class
CTDecompSparse	Sparse Symmetric Decomposition class
CTDecompSVD	Single Value Decomposition class
CTElementActionT
CTElementPosActionT
CTFeldmanCousins	Class to calculate the CL upper limit using the Feldman-Cousins method as described in PRD V57 #7, p3873-3889
CTFFTComplex
CTFFTComplexReal
CTFFTReal
CTFFTRealComplex
CTFitter
CTFoam
CTFoamCell
CTFoamIntegrand
CTFoamMaxwt
CTFoamSampler	TFoamSampler class class implementing the ROOT::Math::DistSampler interface using FOAM for sampling arbitrary distributions
CTFoamVect
CTFumili
CTFumiliMinimizer	TFumiliMinimizer class: minimizer implementation based on TFumili
CTGenPhaseSpace	Utility class to generate n-body event, with constant cross-section (default) or with Fermi energy dependence (opt="Fermi")
CTGondzioSolver
CTHaarMatrixT
CTHilbertMatrixT
CTHilbertMatrixTSym
CTKDTree	Class implementing a kd-tree
CTKDTreeBinning	<- TKDTreeBinning - A class providing multidimensional binning ->
CTLinearFitter	The Linear Fitter - For fitting functions that are LINEAR IN PARAMETERS
CTLinearMinimizer	TLinearMinimizer class: minimizer implementation based on TMinuit
►CTLorentzRotation	Describes Lorentz transformations including Lorentz boosts and rotations (see TRotation)
CTLorentzRotationRow
CTLorentzVector	TLorentzVector is a general four-vector class, which can be used either for the description of position and time (x,y,z,t) or momentum and energy (px,py,pz,E)
CTMatrixDEigen	TMatrixDEigen
CTMatrixDSymEigen	TMatrixDSymEigen
CTMatrixT	TMatrixT
CTMatrixTBase	Linear Algebra Package
CTMatrixTColumn
CTMatrixTColumn_const
CTMatrixTDiag
CTMatrixTDiag_const
CTMatrixTFlat
CTMatrixTFlat_const
CTMatrixTLazy	Templates of Lazy Matrix classes
CTMatrixTRow
CTMatrixTRow_const
CTMatrixTSparse	TMatrixTSparse
CTMatrixTSparseDiag
CTMatrixTSparseDiag_const
CTMatrixTSparseRow
CTMatrixTSparseRow_const
CTMatrixTSub
CTMatrixTSub_const
CTMatrixTSym	TMatrixTSym
CTMatrixTSymLazy
CTMehrotraSolver
CTMinuit	Implementation in C++ of the Minuit package written by Fred James
CTMinuit2TraceObject
CTMinuitMinimizer	TMinuitMinimizer class: ROOT::Math::Minimizer implementation based on TMinuit
CTMLPAnalyzer
CTMultiLayerPerceptron
CTNeuron
CTQpDataBase
CTQpDataDens
CTQpDataSparse
CTQpLinSolverBase
CTQpLinSolverDens
CTQpLinSolverSparse
CTQpProbBase
CTQpProbDens
CTQpProbSparse
CTQpResidual
CTQpSolverBase
CTQpVar
CTQuaternion	Quaternion is a 4-component mathematic object quite convenient when dealing with space rotation (or reference frame transformation)
CTRandom	This is the base class for the ROOT Random number generators
CTRandom1	The Ranlux Random number generator class
CTRandom2	Random number generator class based on the maximally quidistributed combined Tausworthe generator by L'Ecuyer
CTRandom3	Random number generator class based on M
CTRandomEngine
CTRandomGen
Ctriangulateio
CTRobustEstimator	Minimum Covariance Determinant Estimator - a Fast Algorithm invented by Peter J.Rousseeuw and Katrien Van Dreissen "A Fast Algorithm for the Minimum covariance Determinant Estimator" Technometrics, August 1999, Vol.41, NO.3
CTRolke	This class computes confidence intervals for the rate of a Poisson process in the presence of uncertain background and/or efficiency
►CTRotation	Describes a rotation of objects of the TVector3 class
CTRotationRow
CTSPlot
CTStatistic	Statistical variable, defined by its mean and variance (RMS)
CTSynapse
CTUnuran	TUnuran class
CTUnuranBaseDist	TUnuranBaseDist, base class for Unuran distribution classees such as TUnuranContDist (for one-dimension) or TUnuranMultiContDist (multi-dimension)
CTUnuranContDist	TUnuranContDist class describing one dimensional continuous distribution
CTUnuranDiscrDist	TUnuranDiscrDist class for one dimensional discrete distribution
CTUnuranEmpDist	TUnuranEmpDist class for describing empiral distributions
CTUnuranMultiContDist	TUnuranMultiContDist class describing multi dimensional continuous distributions
CTUnuranSampler	TUnuranSampler class class implementing the ROOT::Math::DistSampler interface using the UNU.RAN package for sampling distributions
CTVector2	TVector2 is a general two vector class, which can be used for the description of different vectors in 2D
CTVector3	TVector3 is a general three vector class, which can be used for the description of different vectors in 3D
CTVectorT	TVectorT
CUnuranDistr	UnuranDistr Provides free function based on TF1 to be called by unuran
CUnuranDistrMulti	Free functions for multidimensional functions needed bby UNURAN
CUnuranRng	UnuranRng class for interface ROOT random generators to Unuran