gtsam 4.1.1
gtsam
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Files | |
file | AcceleratedPowerMethod.h [code] |
accelerated power method for fast eigenvalue and eigenvector computation | |
file | BinaryJacobianFactor.h [code] |
A binary JacobianFactor specialization that uses fixed matrix math for speed. | |
file | ConjugateGradientSolver.h [code] |
Implementation of Conjugate Gradient solver for a linear system. | |
file | Errors.cpp |
Factor Graph Values. | |
file | Errors.h [code] |
vector of errors | |
file | GaussianBayesNet.cpp |
Chordal Bayes Net, the result of eliminating a factor graph. | |
file | GaussianBayesNet.h [code] |
Chordal Bayes Net, the result of eliminating a factor graph. | |
file | GaussianBayesTree-inl.h [code] |
Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree. | |
file | GaussianBayesTree.cpp |
Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree. | |
file | GaussianBayesTree.h [code] |
Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree. | |
file | GaussianConditional-inl.h [code] |
Conditional Gaussian Base class. | |
file | GaussianConditional.cpp |
Conditional Gaussian Base class. | |
file | GaussianConditional.h [code] |
Conditional Gaussian Base class. | |
file | GaussianDensity.cpp |
A Gaussian Density. | |
file | GaussianDensity.h [code] |
A Gaussian Density. | |
file | GaussianEliminationTree.cpp |
file | GaussianEliminationTree.h [code] |
file | GaussianFactor.cpp |
A factor with a quadratic error function - a Gaussian. | |
file | GaussianFactor.h [code] |
A factor with a quadratic error function - a Gaussian. | |
file | GaussianFactorGraph.cpp |
Linear Factor Graph where all factors are Gaussians. | |
file | GaussianFactorGraph.h [code] |
Linear Factor Graph where all factors are Gaussians. | |
file | GaussianISAM.h [code] |
file | GaussianJunctionTree.cpp |
file | GaussianJunctionTree.h [code] |
file | HessianFactor-inl.h [code] |
Contains the HessianFactor class, a general quadratic factor. | |
file | HessianFactor.cpp |
file | HessianFactor.h [code] |
Contains the HessianFactor class, a general quadratic factor. | |
file | iterative-inl.h [code] |
Iterative methods, template implementation. | |
file | iterative.cpp |
Iterative methods, implementation. | |
file | iterative.h [code] |
Iterative methods, implementation. | |
file | IterativeSolver.cpp |
Some support classes for iterative solvers. | |
file | IterativeSolver.h [code] |
Some support classes for iterative solvers. | |
file | JacobianFactor-inl.h [code] |
file | JacobianFactor.cpp |
file | JacobianFactor.h [code] |
file | KalmanFilter.cpp |
Simple linear Kalman filter. | |
file | KalmanFilter.h [code] |
Simple linear Kalman filter. | |
file | linearAlgorithms-inst.h [code] |
Templated algorithms that are used in multiple places in linear. | |
file | linearExceptions.cpp |
Exceptions that may be thrown by linear solver components. | |
file | linearExceptions.h [code] |
Exceptions that may be thrown by linear solver components. | |
file | LossFunctions.h [code] |
file | NoiseModel.cpp |
file | NoiseModel.h [code] |
file | PCGSolver.h [code] |
file | PowerMethod.h [code] |
Power method for fast eigenvalue and eigenvector computation. | |
file | Preconditioner.h [code] |
file | RegularHessianFactor.h [code] |
HessianFactor class with constant sized blocks. | |
file | RegularJacobianFactor.h [code] |
JacobianFactor class with fixed sized blcoks. | |
file | Sampler.cpp |
sampling from a diagonal NoiseModel | |
file | Sampler.h [code] |
sampling from a NoiseModel | |
file | Scatter.cpp |
file | Scatter.h [code] |
Maps global variable indices to slot indices. | |
file | SparseEigen.h [code] |
Utilities for creating Eigen sparse matrices (gtsam::SparseEigen) | |
file | SubgraphBuilder.cpp |
file | SubgraphBuilder.h [code] |
file | SubgraphPreconditioner.cpp |
file | SubgraphPreconditioner.h [code] |
file | SubgraphSolver.cpp |
Subgraph Solver from IROS 2010. | |
file | SubgraphSolver.h [code] |
Subgraph Solver from IROS 2010. | |
file | VectorValues.cpp |
Implementations for VectorValues. | |
file | VectorValues.h [code] |
Factor Graph Values. | |