|
class | FunctionTypeMD |
| Class for defining multi-dimensional functions that can be used as arguments in virtual methods. More...
|
|
class | FunctorMD |
| Template class for defining multi-dimensional functions that can be used as arguments in virtual methods. More...
|
|
class | FunctionType1D |
| Class for defining one-dimensional functions that can be used as arguments in virtual methods. More...
|
|
class | Functor1D |
| Template class for defining one-dimensional functions that can be used as arguments in virtual methods. More...
|
|
class | IntegratorRegistry |
|
class | ChebyshevAIntegrator1D |
| Chebyshev quadrature for computing the integral \int_{-1}^1 \mathrm{dx} f(x) \sqrt{1-x^2} . More...
|
|
class | ChebyshevBIntegrator1D |
| Chebyshev quadrature for computing the integral \int_{-1}^1 \mathrm{dx} \frac{f(x)}{\sqrt{1-x^2}} . More...
|
|
class | DExpIntegrator1D |
| This is an implementation of the double exponential rule. More...
|
|
class | GaussKronrodAdaptive |
|
class | Workspace |
|
class | GaussLegendreIntegrator1D |
| Gauss-Legendre quadrature. More...
|
|
class | GaussLegendreSeStIntegrator1D |
| Gauss-Legendre quadrature. More...
|
|
class | Integrator1D |
| Abstract class for all integration routines. More...
|
|
class | IntegratorType1D |
| Type of one-dimensional integrations (wrapper for enum). More...
|
|
class | QuadratureIntegrator1D |
| Abstract quadrature class (for fixed quadrature rules). More...
|
|
class | TrapezoidalIntegrator1D |
| Trapezoidal integration. More...
|
|
class | TrapezoidalLogIntegrator1D |
| Trapezoidal integration with logarithmic step. More...
|
|
class | Chebyshev |
| Chebyshev expansion class. More...
|
|
class | CubicSpline |
|
class | EigenUtils |
| Tools for the Eigen wrapper. More...
|
|
class | 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. More...
|
|
class | LinAlgUtils |
| Linear algebra routines such as linear solvers. More...
|
|
class | MatrixD |
| Represents a two-dimensional array of double. More...
|
|
class | MatrixComplex2D |
| Matrix of complex numbers of size 2x2. More...
|
|
class | MatrixComplex3D |
| Matrix of complex numbers of size 3x3. More...
|
|
class | MatrixComplex4D |
| Matrix of complex numbers of size 4x4. More...
|
|
class | MatrixComplexD |
| Matrix of complex numbers of undefined size. More...
|
|
class | Vector2D |
| Object representing a two-dimensional vector. More...
|
|
class | Vector3D |
| Object representing a three-dimensional vector. More...
|
|
class | Vector4D |
| Object representing a four-vector. More...
|
|
class | VectorD |
| Object representing a mathematical vector. More...
|
|
class | VectorComplex2D |
| Vector of complex numbers of size 2. More...
|
|
class | VectorComplex3D |
| Vector of complex numbers of size 3. More...
|
|
class | VectorComplex4D |
| Vector of complex numbers of size 4. More...
|
|
class | VectorComplexD |
| Vector of complex numbers of undefined size. More...
|
|
class | ActivationFunction |
|
class | ActivationFunctionHyperbolic |
|
class | ActivationFunctionLinear |
|
class | ActivationFunctionLogistic |
|
class | ActivationFunctionSymetricThreshold |
|
class | ActivationFunctionThreshold |
|
class | ActivationFunctionType |
|
class | CombinationFunctionType |
|
class | Data |
|
class | InitializationType |
|
class | NeuralNetworkCellPropertyType |
|
class | NeuralNetworkCellType |
|
class | ScalingFunctionType |
|
class | ScalingModeType |
|
class | TrainingAlgorithmType |
|
class | TrainingFunctionType |
|
class | CombinationFunction |
|
class | CombinationFunctionScalarProduct |
|
class | NeuralNetwork |
|
class | InputCell |
|
class | NeuralNetworkCell |
|
class | OutputCell |
|
class | Perceptron |
|
class | ScalingCell |
|
class | TransitionCell |
|
class | NeuralNetworkLayer |
|
class | NeuralNetworkNeuron |
|
class | NeuralNetworkTypeRegistry |
|
class | ScalingFunction |
|
class | ScalingFunctionMeanStdDeviation |
|
class | ScalingFunctionMinMax |
|
class | TrainingAlgorithm |
|
class | TrainingFunction |
|
class | TrainingFunctionChi2 |
|
class | RandomGenerator |
|
class | Brent |
|
class | Newton |
| The code supports on the example of the python library : scipy. More...
|
|
class | 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 . More...
|
|
class | Differences |
| Class defining absolute and relative differences for comparison of real numbers (double). More...
|
|
class | Errors |
| Class for defining estimations of absolute and relative errors. More...
|
|
class | FunctorUtils |
| Utilities for Functors. More...
|
|
class | Interval |
| Class defining an interval (with given bounds and step). More...
|
|
class | MathUtils |
| Miscellaneous utilities (mathematical functions, etc). More...
|
|
class | Tolerances |
| Define absolute and relative tolerances for comparison of real numbers (double) and check if they are positive. More...
|
|