Class List

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

[detail level 123]

▼NNumA
CFunctionTypeMD	Class for defining multi-dimensional functions that can be used as arguments in virtual methods
CFunctorMD	Template class for defining multi-dimensional functions that can be used as arguments in virtual methods
CFunctionType1D	Class for defining one-dimensional functions that can be used as arguments in virtual methods
CFunctor1D	Template class for defining one-dimensional functions that can be used as arguments in virtual methods
CIntegratorRegistry
CChebyshevAIntegrator1D	Chebyshev quadrature for computing the integral \( \int_{-1}^1 \mathrm{dx} f(x) \sqrt{1-x^2} \)
CChebyshevBIntegrator1D	Chebyshev quadrature for computing the integral \( \int_{-1}^1 \mathrm{dx} \frac{f(x)}{\sqrt{1-x^2}} \)
CDExpIntegrator1D	This is an implementation of the double exponential rule
▼CGaussKronrodAdaptive
Cextrapolation_table
Cgsl_integration_workspace
CWorkspace
CGaussLegendreIntegrator1D	Gauss-Legendre quadrature
CGaussLegendreSeStIntegrator1D	Gauss-Legendre quadrature
CIntegrator1D	Abstract class for all integration routines
CIntegratorType1D	Type of one-dimensional integrations (wrapper for enum)
CQuadratureIntegrator1D	Abstract quadrature class (for fixed quadrature rules)
CTrapezoidalIntegrator1D	Trapezoidal integration
CTrapezoidalLogIntegrator1D	Trapezoidal integration with logarithmic step
CChebyshev	Chebyshev expansion class
CCubicSpline
CEigenUtils	Tools for the Eigen wrapper
CLSMRSolver	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
CLinAlgUtils	Linear algebra routines such as linear solvers
CMatrixD	Represents a two-dimensional array of double
CMatrixComplex2D	Matrix of complex numbers of size 2x2
CMatrixComplex3D	Matrix of complex numbers of size 3x3
CMatrixComplex4D	Matrix of complex numbers of size 4x4
CMatrixComplexD	Matrix of complex numbers of undefined size
CVector2D	Object representing a two-dimensional vector
CVector3D	Object representing a three-dimensional vector
CVector4D	Object representing a four-vector
CVectorD	Object representing a mathematical vector
CVectorComplex2D	Vector of complex numbers of size 2
CVectorComplex3D	Vector of complex numbers of size 3
CVectorComplex4D	Vector of complex numbers of size 4
CVectorComplexD	Vector of complex numbers of undefined size
CActivationFunction
CActivationFunctionHyperbolic
CActivationFunctionLinear
CActivationFunctionLogistic
CActivationFunctionSymetricThreshold
CActivationFunctionThreshold
CActivationFunctionType
CCombinationFunctionType
CData
CInitializationType
CNeuralNetworkCellPropertyType
CNeuralNetworkCellType
CScalingFunctionType
CScalingModeType
CTrainingAlgorithmType
CTrainingFunctionType
CCombinationFunction
CCombinationFunctionScalarProduct
CNeuralNetwork
CInputCell
CNeuralNetworkCell
COutputCell
CPerceptron
CScalingCell
CTransitionCell
CNeuralNetworkLayer
CNeuralNetworkNeuron
CNeuralNetworkTypeRegistry
CScalingFunction
CScalingFunctionMeanStdDeviation
CScalingFunctionMinMax
CTrainingAlgorithm
CTrainingFunction
CTrainingFunctionChi2
CRandomGenerator
CBrent
CNewton	The code supports on the example of the python library : scipy
CNewtonMD	Newton method generalized to any dimension N: Solves the system G(X) = 0, where G is a regular but non-linear application \( R^N \rightarrow R^N \)
CDifferences	Class defining absolute and relative differences for comparison of real numbers (double)
CErrors	Class for defining estimations of absolute and relative errors
CFunctorUtils	Utilities for Functors
CInterval	Class defining an interval (with given bounds and step)
CMathUtils	Miscellaneous utilities (mathematical functions, etc)
CTolerances	Define absolute and relative tolerances for comparison of real numbers (double) and check if they are positive
CExtrapolationTable
CGSLConstants
CGSLUtils
CIntegrationMethod1DStatus
CIntegrator
CIntegratorFactory