|
gtsam
3.2.0
gtsam
|
  gtsam | |
   base | |
   cholesky.cpp | Efficient incomplete Cholesky on rank-deficient matrices, todo: constrained Cholesky |
| cholesky.h | Efficient incomplete Cholesky on rank-deficient matrices, todo: constrained Cholesky |
| ConcurrentMap.h | |
| debug.cpp | Global debugging flags |
| debug.h | Global debugging flags |
| DerivedValue.h | |
| DSFVector.cpp | Faster implementation for DSF, which uses vector rather than btree |
| DSFVector.h | A faster implementation for DSF, which uses vector rather than btree. As a result, the size of the forest is prefixed |
| FastDefaultAllocator.h | An easy way to control which allocator is used for Fast* collections |
| FastList.h | A thin wrapper around std::list that uses boost's fast_pool_allocator |
| FastMap.h | A thin wrapper around std::map that uses boost's fast_pool_allocator |
| FastSet.h | A thin wrapper around std::set that uses boost's fast_pool_allocator |
| FastVector.h | A thin wrapper around std::vector that uses boost's pool_allocator |
| Group.h | Concept check class for variable types with Group properties |
| Lie-inl.h | Instantiate macro for Lie type |
| Lie.h | Base class and basic functions for Lie types |
| LieMatrix.cpp | A wrapper around Matrix providing Lie compatibility |
| LieMatrix.h | A wrapper around Matrix providing Lie compatibility |
| lieProxies.h | Provides convenient mappings of common member functions for testing |
| LieScalar.h | A wrapper around scalar providing Lie compatibility |
| LieVector.cpp | Implementations for LieVector functions |
| LieVector.h | A wrapper around vector providing Lie compatibility |
| Manifold.h | Base class and basic functions for Manifold types |
| Matrix.cpp | Matrix class |
| Matrix.h | Typedef and functions to augment Eigen's MatrixXd |
| numericalDerivative.h | Some functions to compute numerical derivatives |
| serialization.h | Convenience functions for serializing data structures via boost.serialization |
| serializationTestHelpers.h | |
| SymmetricBlockMatrix.cpp | Access to matrices via blocks of pre-defined sizes |
| SymmetricBlockMatrix.h | Access to matrices via blocks of pre-defined sizes |
| SymmetricBlockMatrixBlockExpr.h | Matrix expression for a block of a SymmetricBlockMatrix |
| Testable.h | Concept check for values that can be used in unit tests |
| TestableAssertions.h | Provides additional testing facilities for common data structures |
| timing.cpp | Timing utilities |
| timing.h | Timing utilities |
| treeTraversal-inst.h | |
| types.h | Typedefs for easier changing of types |
| Value.h | The interface class for any variable that can be optimized or used in a factor |
| Vector.cpp | Typedef and functions to augment Eigen's Vectors |
| Vector.h | Typedef and functions to augment Eigen's VectorXd |
| VerticalBlockMatrix.cpp | A matrix with column blocks of pre-defined sizes |
 VerticalBlockMatrix.h | A matrix with column blocks of pre-defined sizes |
| discrete | |
| AlgebraicDecisionTree.h | Algebraic Decision Trees |
| Assignment.h | An assignment from labels to a discrete value index (size_t) |
| DecisionTree-inl.h | |
| DecisionTree.h | Decision Tree for use in DiscreteFactors |
| DecisionTreeFactor.cpp | Discrete factor |
| DecisionTreeFactor.h | |
| DiscreteBayesNet.cpp | |
| DiscreteBayesNet.h | |
| DiscreteBayesTree.cpp | Discrete Bayes Tree, the result of eliminating a DiscreteJunctionTree |
| DiscreteBayesTree.h | Discrete Bayes Tree, the result of eliminating a DiscreteJunctionTree |
| DiscreteConditional.cpp | |
| DiscreteConditional.h | |
| DiscreteEliminationTree.cpp | |
| DiscreteEliminationTree.h | |
| DiscreteFactor.cpp | Discrete factor |
| DiscreteFactor.h | |
| DiscreteFactorGraph.cpp | |
| DiscreteFactorGraph.h | |
| DiscreteJunctionTree.cpp | |
| DiscreteJunctionTree.h | |
| DiscreteKey.h | Specialized key for discrete variables |
| DiscreteMarginals.h | A class for computing marginals in a DiscreteFactorGraph |
| Potentials.cpp | |
| Potentials.h | |
| Signature.cpp | Signatures for conditional densities |
| Signature.h | Signatures for conditional densities |
| geometry | |
| Cal3_S2.cpp | The most common 5DOF 3D->2D calibration |
| Cal3_S2.h | The most common 5DOF 3D->2D calibration |
| Cal3_S2Stereo.h | The most common 5DOF 3D->2D calibration + Stereo baseline |
| Cal3Bundler.cpp | |
| Cal3Bundler.h | Calibration used by Bundler |
| Cal3DS2.cpp | |
| Cal3DS2.h | Calibration of a camera with radial distortion, calculations in base class Cal3DS2_Base |
| Cal3DS2_Base.cpp | |
| Cal3DS2_Base.h | |
| Cal3Unified.cpp | |
| Cal3Unified.h | Unified Calibration Model, see Mei07icra for details |
| CalibratedCamera.cpp | Calibrated camera for which only pose is unknown |
| CalibratedCamera.h | Calibrated camera for which only pose is unknown |
| concepts.h | Concept-checking macros for geometric objects Each macro instantiates a concept check structure, which includes a static function that will fail to compile if the concept does not pass |
| EssentialMatrix.h | |
| PinholeCamera.h | Base class for all pinhole cameras |
| Point2.cpp | 2D Point |
| Point2.h | 2D Point |
| Point3.cpp | 3D Point |
| Point3.h | 3D Point |
| Pose2.cpp | 2D Pose |
| Pose2.h | 2D Pose |
| Pose3.cpp | 3D Pose |
| Pose3.h | 3D Pose |
| Rot2.cpp | 2D Rotations |
| Rot2.h | 2D rotation |
| Rot3.cpp | Rotation, common code between Rotation matrix and Quaternion |
| Rot3.h | 3D rotation represented as a rotation matrix or quaternion |
| Rot3M.cpp | Rotation (internal: 3*3 matrix representation*) |
| Rot3Q.cpp | Rotation (internal: quaternion representation*) |
| SimpleCamera.cpp | A simple camera class with a Cal3_S2 calibration |
| SimpleCamera.h | A simple camera class with a Cal3_S2 calibration |
| StereoCamera.h | A Stereo Camera based on two Simple Cameras |
| StereoPoint2.cpp | |
| StereoPoint2.h | A 2D stereo point (uL,uR,v) |
| triangulation.h | Functions for triangulation |
| TriangulationFactor.h | |
| Unit3.h | |
| inference | |
| BayesNet-inst.h | |
| BayesNet.h | Bayes network |
| BayesTree-inst.h | |
| BayesTree.cpp | Bayes Tree is a tree of cliques of a Bayes Chain |
| BayesTree.h | Bayes Tree is a tree of cliques of a Bayes Chain |
| BayesTreeCliqueBase-inst.h | Base class for cliques of a BayesTree |
| BayesTreeCliqueBase.h | Base class for cliques of a BayesTree |
| ClusterTree-inst.h | Collects factorgraph fragments defined on variable clusters, arranged in a tree |
| ClusterTree.h | Collects factorgraph fragments defined on variable clusters, arranged in a tree |
| Conditional-inst.h | |
| Conditional.h | Base class for conditional densities |
| EliminateableFactorGraph-inst.h | |
| EliminateableFactorGraph.h | Variable elimination algorithms for factor graphs |
| EliminationTree-inst.h | |
| EliminationTree.h | |
| Factor.cpp | The base class for all factors |
| Factor.h | The base class for all factors |
| FactorGraph-inst.h | |
| FactorGraph.h | Factor Graph Base Class |
| graph-inl.h | |
| graph.h | Graph algorithm using boost library |
| inference-inst.h | Contains generic inference algorithms that convert between templated graphical models, i.e., factor graphs, Bayes nets, and Bayes trees |
| inferenceExceptions.h | Exceptions that may be thrown by inference algorithms |
| ISAM-inst.h | |
| ISAM.h | Incremental update functionality (iSAM) for BayesTree |
| JunctionTree-inst.h | The junction tree, template bodies |
| JunctionTree.h | The junction tree |
| Key.h | |
| LabeledSymbol.h | |
| Ordering.cpp | |
| Ordering.h | |
| Symbol.cpp | |
| Symbol.h | |
| VariableIndex-inl.h | |
| VariableIndex.cpp | |
| VariableIndex.h | |
| VariableSlots.cpp | |
| VariableSlots.h | VariableSlots describes the structure of a combined factor in terms of where each block comes from in the source factors |
| linear | |
| ConjugateGradientSolver.h | |
| 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.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 | |
| IterativeSolver.h | |
| 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 |
| NoiseModel.cpp | |
| NoiseModel.h | |
| PCGSolver.h | |
| Preconditioner.h | |
| Sampler.cpp | |
| Sampler.h | Sampling that can be parameterized using a NoiseModel to generate samples fromthe given distribution |
| SubgraphPreconditioner.cpp | |
| SubgraphPreconditioner.h | |
| SubgraphSolver.h | |
| VectorValues.cpp | Implementations for VectorValues |
| VectorValues.h | Factor Graph Values |
| nonlinear | |
| DoglegOptimizer.cpp | |
| DoglegOptimizer.h | |
| DoglegOptimizerImpl.h | Nonlinear factor graph optimizer using Powell's Dogleg algorithm (detail implementation) |
| ExtendedKalmanFilter-inl.h | Class to perform generic Kalman Filtering using nonlinear factor graphs |
| ExtendedKalmanFilter.h | Class to perform generic Kalman Filtering using nonlinear factor graphs |
| GaussNewtonOptimizer.cpp | |
| GaussNewtonOptimizer.h | |
| ISAM2-impl.cpp | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| ISAM2-impl.h | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| ISAM2-inl.h | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| ISAM2.h | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| LevenbergMarquardtOptimizer.cpp | |
| LevenbergMarquardtOptimizer.h | |
| LinearContainerFactor.cpp | |
| LinearContainerFactor.h | Wrap Jacobian and Hessian linear factors to allow simple injection into a nonlinear graph |
| Marginals.cpp | |
| Marginals.h | A class for computing marginals in a NonlinearFactorGraph |
| NonlinearConjugateGradientOptimizer.h | |
| NonlinearEquality.h | |
| nonlinearExceptions.h | Exceptions that may be thrown by nonlinear optimization components |
| NonlinearFactor.h | Non-linear factor base classes |
| NonlinearFactorGraph.cpp | Factor Graph Consisting of non-linear factors |
| NonlinearFactorGraph.h | Factor Graph Constsiting of non-linear factors |
| NonlinearISAM.h | |
| NonlinearOptimizer.cpp | Convergence functions not dependent on graph types |
| NonlinearOptimizer.h | Base class and parameters for nonlinear optimization algorithms |
| NonlinearOptimizerParams.cpp | Parameters for nonlinear optimization |
| NonlinearOptimizerParams.h | Parameters for nonlinear optimization |
| Symbol.h | |
| Values-inl.h | |
| Values.h | A non-templated config holding any types of Manifold-group elements |
| WhiteNoiseFactor.h | Binary white noise factor |
| slam | |
| AntiFactor.h | |
| BearingFactor.h | |
| BearingRangeFactor.h | Single factor contains both the bearing and the range to prevent handle to pair bearing and range factors |
| BetweenFactor.h | |
| BoundingConstraint.h | Provides partially implemented constraints to implement bounds |
| dataset.cpp | Utility functions for loading datasets |
| dataset.h | Utility functions for loading datasets |
| EssentialMatrixConstraint.cpp | |
| EssentialMatrixConstraint.h | |
| EssentialMatrixFactor.h | |
| GeneralSFMFactor.h | General SFM factor with an unknown calibration |
| ImplicitSchurFactor.h | A new type of linear factor (GaussianFactor), which is subclass of GaussianFactor |
| InitializePose3.h | Initialize Pose3 in a factor graph |
| JacobianFactorQ.h | |
| JacobianFactorQR.h | |
| JacobianFactorSVD.h | |
| JacobianSchurFactor.h | |
| lago.h | Initialize Pose2 in a factor graph using LAGO (Linear Approximation for Graph Optimization) |
| PoseRotationPrior.h | Implements a prior on the rotation component of a pose |
| PoseTranslationPrior.h | Implements a prior on the translation component of a pose |
| PriorFactor.h | |
| ProjectionFactor.h | Basic bearing factor from 2D measurement |
| RangeFactor.h | |
| ReferenceFrameFactor.h | |
| RegularHessianFactor.h | HessianFactor class with constant sized blcoks |
| RotateFactor.h | |
| SmartFactorBase.h | Base class to create smart factors on poses or cameras |
| SmartProjectionFactor.h | Base class to create smart factors on poses or cameras |
| SmartProjectionPoseFactor.h | Produces an Hessian factors on POSES from monocular measurements of a single landmark |
| StereoFactor.h | |
| global_includes.h | Included from all GTSAM files |
1.8.6 
