Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123]

▼CNumA::ActivationFunction
CNumA::ActivationFunctionHyperbolic
CNumA::ActivationFunctionLinear
CNumA::ActivationFunctionLogistic
CNumA::ActivationFunctionSymetricThreshold
CNumA::ActivationFunctionThreshold
CNumA::ActivationFunctionType
CNumA::Brent
CNumA::Chebyshev	Chebyshev expansion class
▼CNumA::CombinationFunction
CNumA::CombinationFunctionScalarProduct
CNumA::CombinationFunctionType
CNumA::CubicSpline
CNumA::Data
CNumA::Differences	Class defining absolute and relative differences for comparison of real numbers (double)
CNumA::EigenUtils	Tools for the Eigen wrapper
CNumA::Errors	Class for defining estimations of absolute and relative errors
CNumA::GaussKronrodAdaptive::extrapolation_table
CExtrapolationTable
▼CNumA::FunctionType1D	Class for defining one-dimensional functions that can be used as arguments in virtual methods
CNumA::Functor1D< PointerToObj, PointerToFunc >	Template class for defining one-dimensional functions that can be used as arguments in virtual methods
▼CNumA::FunctionTypeMD	Class for defining multi-dimensional functions that can be used as arguments in virtual methods
CNumA::FunctorMD< PointerToObj, PointerToFunc >	Template class for defining multi-dimensional functions that can be used as arguments in virtual methods
CNumA::FunctorUtils	Utilities for Functors
CNumA::GaussKronrodAdaptive::gsl_integration_workspace
CGSLConstants
CGSLUtils
CNumA::InitializationType
CIntegrationMethod1DStatus
CIntegrator
▼CNumA::Integrator1D	Abstract class for all integration routines
CNumA::DExpIntegrator1D	This is an implementation of the double exponential rule
CNumA::GaussKronrodAdaptive
▼CNumA::QuadratureIntegrator1D	Abstract quadrature class (for fixed quadrature rules)
CNumA::ChebyshevAIntegrator1D	Chebyshev quadrature for computing the integral \( \int_{-1}^1 \mathrm{dx} f(x) \sqrt{1-x^2} \)
CNumA::ChebyshevBIntegrator1D	Chebyshev quadrature for computing the integral \( \int_{-1}^1 \mathrm{dx} \frac{f(x)}{\sqrt{1-x^2}} \)
CNumA::GaussLegendreIntegrator1D	Gauss-Legendre quadrature
CNumA::GaussLegendreSeStIntegrator1D	Gauss-Legendre quadrature
CNumA::TrapezoidalIntegrator1D	Trapezoidal integration
CNumA::TrapezoidalLogIntegrator1D	Trapezoidal integration with logarithmic step
CIntegratorFactory
CNumA::IntegratorRegistry
CNumA::IntegratorType1D	Type of one-dimensional integrations (wrapper for enum)
CNumA::Interval< T >	Class defining an interval (with given bounds and step)
CNumA::LinAlgUtils	Linear algebra routines such as linear solvers
CNumA::LSMRSolver	LSMR solves Ax = b or min ||Ax - b|| with or without damping, using the iterative algorithm of David Fong and Michael Saunders: http://www.stanford.edu/group/SOL/software/lsmr.html
CNumA::MathUtils	Miscellaneous utilities (mathematical functions, etc)
▼CNumA::MatrixComplexD	Matrix of complex numbers of undefined size
CNumA::MatrixComplex2D	Matrix of complex numbers of size 2x2
CNumA::MatrixComplex3D	Matrix of complex numbers of size 3x3
CNumA::MatrixComplex4D	Matrix of complex numbers of size 4x4
CNumA::MatrixD	Represents a two-dimensional array of double
CNumA::NeuralNetwork
▼CNumA::NeuralNetworkCell
CNumA::InputCell
CNumA::OutputCell
CNumA::Perceptron
CNumA::ScalingCell
CNumA::TransitionCell
CNumA::NeuralNetworkCellPropertyType
CNumA::NeuralNetworkCellType
CNumA::NeuralNetworkLayer
CNumA::NeuralNetworkNeuron
CNumA::NeuralNetworkTypeRegistry
CNumA::Newton	The code supports on the example of the python library : scipy
CNumA::NewtonMD	Newton method generalized to any dimension N: Solves the system G(X) = 0, where G is a regular but non-linear application \( R^N \rightarrow R^N \)
CNumA::RandomGenerator
▼CNumA::ScalingFunction
CNumA::ScalingFunctionMeanStdDeviation
CNumA::ScalingFunctionMinMax
CNumA::ScalingFunctionType
CNumA::ScalingModeType
CNumA::Tolerances	Define absolute and relative tolerances for comparison of real numbers (double) and check if they are positive
CNumA::TrainingAlgorithm
CNumA::TrainingAlgorithmType
▼CNumA::TrainingFunction
CNumA::TrainingFunctionChi2
CNumA::TrainingFunctionType
▼CNumA::Vector2D	Object representing a two-dimensional vector
▼CNumA::Vector3D	Object representing a three-dimensional vector
CNumA::Vector4D	Object representing a four-vector
▼CNumA::VectorComplexD	Vector of complex numbers of undefined size
CNumA::VectorComplex2D	Vector of complex numbers of size 2
CNumA::VectorComplex3D	Vector of complex numbers of size 3
CNumA::VectorComplex4D	Vector of complex numbers of size 4
CNumA::VectorD	Object representing a mathematical vector
CNumA::Workspace