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
Almost2NormVector 2-norm without square root, i.e
AlmostGaussianKernelGaussian kernel for density estimation without squared exponent
AutoCorrelatorAuto-correlator
AuxiliaryParticleResamplerAuxiliary particle resampler
DifferentialModelAdaptiveRungeKutta compatible model
DiracMixturePdfDirac mixture probability density
DiracPdfDirac $\delta$-function probability density
DistributedPartitionerPartitions a distributed set of weighted points into two sets at the $n$th component
EquilibriumSamplerSamples from equilibrium distribution of a stationary process
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
KDTree$kd$ (k-dimensional) tree over a DiracMixturePdf
KDTreeNodeNode of a $kd$ tree
KernelKernel for density estimation
KernelDensityMixturePdfMixture of kernel density estimators
KernelDensityPdfKernel density estimator
KernelForwardBackwardSmootherKernel forward-backward smoother
KernelForwardBackwardSmootherModelKernelForwardBackwardSmoother compatible model
KernelTwoFilterSmootherKernel two-filter smoother
KernelTwoFilterSmootherModelKernelTwoFilterSmoother compatible model
LengthPartitionerPartitions a set of weighted points into two sets at the midpoint of the widest dimension
LinearModelSimple linear model
MedianPartitionerPartitions a set of weighted points into two sets at the median of the dimension with greatest range
MixturePdfMixture probability density
NormVector norm
NumericalSolverAbstract numerical solver for a system of differential equations
ParameterCollectionCollection of parameters
ParticleFilterParticle filter
ParticleFilterModelParticleFilter compatible model
ParticleResamplerResampler for particle filter
ParticleSmootherForward-backward particle smoother
ParticleSmootherModelParticleSmoother compatible model
PartitionerPartitions a set of weighted points into two sets for constructing a partition tree
PartitionFunctorPredicate functor for nth element partition
PartitionTreeAbstract spatial 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
ReaderAbstract reader for data files
RegularisedParticleResamplerRegularised particle resampler
SmootherAbstract smoother
StandardMixturePdfMixture probability density with standard calculation of covariance
StochasticAdaptiveEulerMaruyamaStochastic Adaptive Euler-Maruyama method for solving a system of stochastic differential equations
StochasticAdaptiveRungeKuttaStochastic Adaptive Runge-Kutta method for solving a system of stochastic differential equations
StochasticDifferentialModelStochasticAdaptiveRungeKutta compatible model
StochasticEulerMaruyamaStochastic Euler-Maruyama method with fixed time step for solving a system of stochastic differential equations
StochasticNumericalSolverAbstract numerical solver for a system of stochastic differential equations
StochasticProcessAbstract stochastic process
StratifiedParticleResamplerStratified particle resampler
TextFileReaderReader for white-space delimited text files
TextFileWriterWriter for white-space delimited text files
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
WriterAbstract writer for data files

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