dysii Dynamical Systems Library Class List

Here are the classes, structs, unions and interfaces with brief descriptions:
AdaptiveRungeKuttaAdaptive Runge-Kutta method for solving a system of ordinary differential equations
AdditiveNoiseParticleResamplerParticle resampler with independent additive noise source
AuxiliaryParticleResamplerAuxiliary particle resampler
DensityTreeFactoryFactory for producing density tree nodes
DensityTreeInternalInternal node of a density tree
DensityTreeLeafLeaf node of a density tree
DensityTreeMixturePdfDensity tree mixture probability density
DensityTreeNodeNode of a density tree
DensityTreeParticleResamplerDensity tree particle resampler
DensityTreePdfProbability density tree
DeterministicParticleResamplerDeterministic particle resampler
DifferentialModelAdaptiveRungeKutta compatible model
DiracMixturePdfDirac mixture probability density
DiracPdfDirac $\delta$-function probability density
FilterAbstract filter
FixableStateModelModel with fixable state variables
FunctionCollectionCollection of functions
FunctionModelFunction specification
GaussianKernelGaussian kernel for density estimation
GaussianMixturePdfGaussian mixture probability density
GaussianPdfMultivariate Gaussian probability distribution
KalmanFilterKalman filter
KalmanFilterModelKalmanFilter compatible model
KalmanSmootherKalman two-filter smoother
KalmanSmootherModelKalmanSmoother compatible model
KDTreeKD (kernel density) tree based on Gray & Moore (2001)
KDTreeInternalNodeInternal node of a KD-tree
KDTreeLeafNodeLeaf node of a KD-tree
KDTreeNodeNode of a KD-tree
KernelKernel for density estimation
LengthPartitionerPartitions a set of weighted points into two sets at the midpoint of the widest dimension
LinearModelSimple linear model
MixturePdfMixture probability density
MixturePdf::weighted_componentWeighted component
NormVector norm
NumericalSolverAbstract numerical solver for a system of differential equations
ParameterCollectionCollection of parameters
ParticleFilterParticle filter
ParticleFilterModelParticleFilter compatible model
ParticleResamplerResampler for particle filter
ParticleSmootherTwo-pass particle smoother
ParticleSmootherModelParticleSmoother compatible model
PartitionerPartitions a set of weighted points into two sets for constructing a partition tree
PartitionTreeNodeNode of a spatial partition tree
PdfAbstract probability distribution
PNormVector p-norm, $\|\cdot\|_p$
RandomRandom numbers
RandomPartitionerPartitions a set of weighted samples into two sets along the midpoint of a random dimension
RauchTungStriebelSmootherRauch-Tung-Striebel (RTS) smoother
RauchTungStriebelSmootherModelRauchTungStriebelSmoother compatible model
SmootherAbstract smoother
StandardMixturePdfMixture probability density with standard calculation of covariance
StochasticAdaptiveRungeKuttaStochastic Adaptive Runge-Kutta method for solving a system of stochastic differential equations
StochasticDifferentialModelStochasticAdaptiveRungeKutta compatible model
StochasticProcessAbstract stochastic process
TwoFilterSmootherAbstract smoother for estimating the state of a system by fusing forward and backward filtering passes
UniformPdfUniform distribution over a hyper-rectangle
UnscentedKalmanFilterUnscented Kalman filter
UnscentedKalmanFilterMeasurementAdaptorAdaptor mapping UnscentedTransformationModel interface to method calls in UnscentedKalmanFilterModel
UnscentedKalmanFilterModelUnscentedKalmanFilter compatible model
UnscentedKalmanFilterTransitionAdaptorAdaptor mapping UnscentedTransformationModel interface to method calls in UnscentedKalmanFilterModel
UnscentedKalmanSmootherUnscented Kalman two-filter smoother
UnscentedKalmanSmootherBackwardTransitionAdaptorAdaptor mapping UnscentedTransformationModel interface to method calls in UnscentedKalmanSmootherModel
UnscentedKalmanSmootherModelUnscentedKalmanSmoother compatible model
UnscentedTransformationUnscented transformation
UnscentedTransformationDefaultsDefault parameter settings for UnscentedTransformation
UnscentedTransformationModelUnscentedTransformation compatible model
VariancePartitionerPartitions a set of weighted points into two sets at the mean of the dimension with greatest variance
WienerProcessMultivariate Wiener process

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