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gtsam 4.2
gtsam
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Files | |
| AcceleratedPowerMethod.h | |
| accelerated power method for fast eigenvalue and eigenvector computation | |
| BinaryJacobianFactor.h | |
| A binary JacobianFactor specialization that uses fixed matrix math for speed. | |
| ConjugateGradientSolver.h | |
| Implementation of Conjugate Gradient solver for a linear system. | |
| Errors.cpp | |
| Factor Graph Values. | |
| Errors.h | |
| vector of errors | |
| GaussianBayesNet.cpp | |
| Chordal Bayes Net, the result of eliminating a factor graph. | |
| GaussianBayesNet.h | |
| Chordal Bayes Net, the result of eliminating a factor graph. | |
| GaussianBayesTree-inl.h | |
| Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree. | |
| GaussianBayesTree.cpp | |
| Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree. | |
| GaussianBayesTree.h | |
| Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree. | |
| GaussianConditional-inl.h | |
| Conditional Gaussian Base class. | |
| GaussianConditional.cpp | |
| Conditional Gaussian Base class. | |
| GaussianConditional.h | |
| Conditional Gaussian Base class. | |
| GaussianDensity.cpp | |
| A Gaussian Density. | |
| GaussianDensity.h | |
| A Gaussian Density. | |
| GaussianEliminationTree.cpp | |
| GaussianEliminationTree.h | |
| GaussianFactor.cpp | |
| A factor with a quadratic error function - a Gaussian. | |
| GaussianFactor.h | |
| A factor with a quadratic error function - a Gaussian. | |
| GaussianFactorGraph.cpp | |
| Linear Factor Graph where all factors are Gaussians. | |
| GaussianFactorGraph.h | |
| Linear Factor Graph where all factors are Gaussians. | |
| GaussianISAM.h | |
| GaussianJunctionTree.cpp | |
| GaussianJunctionTree.h | |
| HessianFactor-inl.h | |
| Contains the HessianFactor class, a general quadratic factor. | |
| HessianFactor.cpp | |
| HessianFactor.h | |
| Contains the HessianFactor class, a general quadratic factor. | |
| iterative-inl.h | |
| Iterative methods, template implementation. | |
| iterative.cpp | |
| Iterative methods, implementation. | |
| iterative.h | |
| Iterative methods, implementation. | |
| IterativeSolver.cpp | |
| Some support classes for iterative solvers. | |
| IterativeSolver.h | |
| Some support classes for iterative solvers. | |
| JacobianFactor-inl.h | |
| JacobianFactor.cpp | |
| JacobianFactor.h | |
| KalmanFilter.cpp | |
| Simple linear Kalman filter. | |
| KalmanFilter.h | |
| Simple linear Kalman filter. | |
| linearAlgorithms-inst.h | |
| Templated algorithms that are used in multiple places in linear. | |
| linearExceptions.cpp | |
| Exceptions that may be thrown by linear solver components. | |
| linearExceptions.h | |
| Exceptions that may be thrown by linear solver components. | |
| LossFunctions.h | |
| NoiseModel.cpp | |
| NoiseModel.h | |
| PCGSolver.h | |
| PowerMethod.h | |
| Power method for fast eigenvalue and eigenvector computation. | |
| Preconditioner.h | |
| RegularHessianFactor.h | |
| HessianFactor class with constant sized blocks. | |
| RegularJacobianFactor.h | |
| JacobianFactor class with fixed sized blcoks. | |
| Sampler.cpp | |
| sampling from a diagonal NoiseModel | |
| Sampler.h | |
| sampling from a NoiseModel | |
| Scatter.cpp | |
| Scatter.h | |
| Maps global variable indices to slot indices. | |
| SparseEigen.h | |
| Utilities for creating Eigen sparse matrices (gtsam::SparseEigen). | |
| SubgraphBuilder.cpp | |
| SubgraphBuilder.h | |
| SubgraphPreconditioner.cpp | |
| SubgraphPreconditioner.h | |
| SubgraphSolver.cpp | |
| Subgraph Solver from IROS 2010. | |
| SubgraphSolver.h | |
| Subgraph Solver from IROS 2010. | |
| VectorValues.cpp | |
| Implementations for VectorValues. | |
| VectorValues.h | |
| Factor Graph Values. | |