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File List
Here is a list of all documented files with brief descriptions:

gtsam |
base |
chartTesting.h |
cholesky.cpp | Efficient incomplete Cholesky on rank-deficient matrices, todo: constrained Cholesky
cholesky.h | Efficient incomplete Cholesky on rank-deficient matrices, todo: constrained Cholesky
concepts.h |
ConcurrentMap.h |
debug.cpp | Global debugging flags
debug.h | Global debugging flags
DSFMap.h | Allow for arbitrary type in DSF
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
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 a custom allocator
GenericValue.h |
Group.h | Concept check class for variable types with Group properties
Lie.h | Base class and basic functions for Lie types
lieProxies.h | Provides convenient mappings of common member functions for testing
make_shared.h | Make_shared trampoline function to ensure proper alignment
Manifold.h | Base class and basic functions for Manifold types
Matrix.cpp | Matrix class
Matrix.h | Typedef and functions to augment Eigen's MatrixXd
MatrixSerialization.h | Serialization for matrices
numericalDerivative.h | Some functions to compute numerical derivatives
OptionalJacobian.h | Special class for optional Jacobian arguments
ProductLieGroup.h | Group product of two Lie Groups
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
Testable.h | Concept check for values that can be used in unit tests
TestableAssertions.h | Provides additional testing facilities for common data structures
testLie.h |
ThreadsafeException.h | Base exception type that uses tbb_allocator if GTSAM is compiled with TBB
timing.cpp | Timing utilities
timing.h | Timing utilities
treeTraversal-inst.h |
types.cpp | Functions for handling type information
types.h | Typedefs for easier changing of types
utilities.h |
Value.h | The base 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
VectorSerialization.h | Serialization for Vectors
VectorSpace.h |
VerticalBlockMatrix.cpp | A matrix with column blocks of pre-defined sizes
VerticalBlockMatrix.h | A matrix with column blocks of pre-defined sizes
WeightedSampler.h | Fast sampling without replacement
basis |
Basis.h | Compute an interpolating basis
BasisFactors.h | Factor definitions for various Basis functors
Chebyshev.cpp | Chebyshev basis decompositions
Chebyshev.h | Chebyshev basis decompositions
Chebyshev2.cpp | Chebyshev parameterizations on Chebyshev points of second kind
Chebyshev2.h | Pseudo-spectral parameterization for Chebyshev polynomials of the second kind
FitBasis.h | Fit a Basis using least-squares
Fourier.h | Fourier decomposition, see e.g
ParameterMatrix.h | Define ParameterMatrix class which is used to store values at interpolation points
discrete |
AlgebraicDecisionTree.cpp |
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 |
DiscreteDistribution.cpp |
DiscreteDistribution.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
DiscreteLookupDAG.cpp |
DiscreteLookupDAG.h |
DiscreteMarginals.h | A class for computing marginals in a DiscreteFactorGraph
DiscreteValues.cpp |
DiscreteValues.h |
Signature.cpp | Signatures for conditional densities
Signature.h | Signatures for conditional densities
geometry |
BearingRange.h | Bearing-Range product
Cal3.cpp | Common code for all calibration models
Cal3.h | Common code for all Calibration models
Cal3_S2.cpp | The most common 5DOF 3D->2D calibration
Cal3_S2.h | The most common 5DOF 3D->2D calibration
Cal3_S2Stereo.cpp | The most common 5DOF 3D->2D calibration + Stereo baseline
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 |
Cal3Fisheye.cpp |
Cal3Fisheye.h | Calibration of a fisheye camera
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
CameraSet.h | Base class to create smart factors on poses or cameras
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
Cyclic.cpp | Cyclic group implementation
Cyclic.h | Cyclic group, i.e., the integers modulo N
EssentialMatrix.h |
Line3.h | 4 dimensional manifold of 3D lines
OrientedPlane3.h |
PinholeCamera.h | Base class for all pinhole cameras
PinholePose.h | Pinhole camera with known calibration
PinholeSet.h | A CameraSet of either CalibratedCamera, PinholePose, or PinholeCamera
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
Quaternion.h | Lie Group wrapper for Eigen Quaternions
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*)
Similarity2.cpp | Implementation of Similarity2 transform
Similarity2.h | Implementation of Similarity2 transform
Similarity3.cpp | Implementation of Similarity3 transform
Similarity3.h | Implementation of Similarity3 transform
SimpleCamera.cpp | A simple camera class with a Cal3_S2 calibration
SimpleCamera.h | A simple camera class with a Cal3_S2 calibration
SO3.cpp | 3*3 matrix representation of SO(3)
SO3.h | 3*3 matrix representation of SO(3)
SO4.cpp | 4*4 matrix representation of SO(4)
SO4.h | 4*4 matrix representation of SO(4)
SOn-inl.h | Template implementations for SO(n)
SOn.cpp | Definitions of dynamic specializations of SO(n)
SOn.h | N*N matrix representation of SO(N)
SphericalCamera.h | Calibrated camera with spherical projection
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
Unit3.h |
hybrid |
GaussianMixture.cpp | A hybrid conditional in the Conditional Linear Gaussian scheme
GaussianMixture.h | A hybrid conditional in the Conditional Linear Gaussian scheme
GaussianMixtureFactor.cpp | A set of Gaussian factors indexed by a set of discrete keys
GaussianMixtureFactor.h | A set of GaussianFactors, indexed by a set of discrete keys
HybridBayesNet.cpp | A Bayes net of Gaussian Conditionals indexed by discrete keys
HybridBayesNet.h | A Bayes net of Gaussian Conditionals indexed by discrete keys
HybridBayesTree.cpp | Hybrid Bayes Tree, the result of eliminating a HybridJunctionTree
HybridBayesTree.h | Hybrid Bayes Tree, the result of eliminating a HybridJunctionTree
HybridConditional.cpp |
HybridConditional.h |
HybridEliminationTree.cpp |
HybridEliminationTree.h |
HybridFactor.cpp |
HybridFactor.h |
HybridFactorGraph.cpp | Factor graph with utilities for hybrid factors
HybridFactorGraph.h | Factor graph with utilities for hybrid factors
HybridGaussianFactorGraph.cpp | Hybrid factor graph that uses type erasure
HybridGaussianFactorGraph.h | Linearized Hybrid factor graph that uses type erasure
HybridGaussianISAM.h |
HybridJunctionTree.cpp |
HybridJunctionTree.h |
HybridNonlinearFactorGraph.cpp | Nonlinear hybrid factor graph that uses type erasure
HybridNonlinearFactorGraph.h | Nonlinear hybrid factor graph that uses type erasure
HybridNonlinearISAM.cpp |
HybridNonlinearISAM.h |
HybridSmoother.cpp | An incremental smoother for hybrid factor graphs
HybridSmoother.h | An incremental smoother for hybrid factor graphs
HybridValues.h |
MixtureFactor.h | Nonlinear Mixture factor of continuous and discrete
inference |
BayesNet-inst.h |
BayesNet.h | Bayes network
BayesTree-inst.h | Bayes Tree is a tree of cliques of a Bayes Chain
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
DotWriter.cpp | Graphviz formatting for factor graphs
DotWriter.h | Graphviz formatter
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 | Factor Graph Base Class
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 | Incremental update functionality (iSAM) for BayesTree
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 |
MetisIndex-inl.h |
MetisIndex.h |
Ordering.cpp |
Ordering.h | Variable ordering for the elimination algorithm
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 |
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
navigation |
AHRSFactor.cpp |
AHRSFactor.h |
AttitudeFactor.cpp | Implementation file for Attitude factor
AttitudeFactor.h | Header file for Attitude factor
BarometricFactor.cpp | Implementation file for Barometric factor
BarometricFactor.h | Header file for Barometric factor
CombinedImuFactor.cpp |
CombinedImuFactor.h |
ConstantVelocityFactor.h | Maintain a constant velocity motion model between two NavStates
expressions.h | Common expressions for solving navigation problems
GPSFactor.cpp | Implementation file for GPS factor
GPSFactor.h | Header file for GPS factor
ImuBias.cpp |
ImuBias.h |
ImuFactor.cpp |
ImuFactor.h |
MagFactor.h | Factors involving magnetometers
MagPoseFactor.h |
ManifoldPreintegration.cpp |
ManifoldPreintegration.h |
NavState.h | Navigation state composing of attitude, position, and velocity
PreintegratedRotation.cpp |
PreintegratedRotation.h |
PreintegrationBase.h |
PreintegrationParams.h |
Scenario.h | Simple class to test navigation scenarios
ScenarioRunner.h | Simple class to test navigation scenarios
TangentPreintegration.cpp |
TangentPreintegration.h |
nonlinear |
CustomFactor.cpp | Class to enable arbitrary factors with runtime swappable error function
CustomFactor.h | Class to enable arbitrary factors with runtime swappable error function
DoglegOptimizer.cpp |
DoglegOptimizer.h |
DoglegOptimizerImpl.h | Nonlinear factor graph optimizer using Powell's Dogleg algorithm (detail implementation)
Expression-inl.h | Internals for Expression.h, not for general consumption
Expression.h | Expressions for Block Automatic Differentiation
ExpressionFactor.h |
ExpressionFactorGraph.h | Factor graph that supports adding ExpressionFactors directly
expressions.h | Common expressions, both linear and non-linear
expressionTesting.h | Test harness methods for expressions
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
factorTesting.h | Evaluate derivatives of a nonlinear factor numerically
FunctorizedFactor.h |
GaussNewtonOptimizer.cpp |
GaussNewtonOptimizer.h |
GncOptimizer.h | The GncOptimizer class
GncParams.h |
GraphvizFormatting.cpp | Graphviz formatter for NonlinearFactorGraph
GraphvizFormatting.h | Graphviz formatter for NonlinearFactorGraph
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.cpp | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization
ISAM2.h | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization
ISAM2Clique.cpp | Specialized iSAM2 Clique
ISAM2Clique.h | Specialized iSAM2 Clique
ISAM2Params.cpp | Parameters for iSAM 2
ISAM2Params.h | Parameters for iSAM 2
ISAM2Result.h | Class that stores detailed iSAM2 result
ISAM2UpdateParams.h | Class that stores extra params for ISAM2::update()
LevenbergMarquardtOptimizer.cpp | A nonlinear optimizer that uses the Levenberg-Marquardt trust-region scheme
LevenbergMarquardtOptimizer.h | A nonlinear optimizer that uses the Levenberg-Marquardt trust-region scheme
LevenbergMarquardtParams.cpp | Parameters for Levenberg-Marquardt trust-region scheme
LevenbergMarquardtParams.h | Parameters for Levenberg-Marquardt trust-region scheme
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.cpp | Simple non-linear optimizer that solves using non-preconditioned CG
NonlinearConjugateGradientOptimizer.h | Simple non-linear optimizer that solves using non-preconditioned CG
NonlinearEquality.h |
nonlinearExceptions.h | Exceptions that may be thrown by nonlinear optimization components
NonlinearFactor.cpp | Nonlinear Factor base classes
NonlinearFactor.h | Non-linear factor base classes
NonlinearFactorGraph.cpp | Factor Graph Consisting of non-linear factors
NonlinearFactorGraph.h | Factor Graph consisting of non-linear factors
NonlinearISAM.cpp |
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
PriorFactor.h |
Symbol.h | Symbol.h was moved to inference directory, this header was retained for compatibility
utilities.h | Contains generic global functions designed particularly for the matlab interface
Values-inl.h |
Values.h | A non-templated config holding any types of Manifold-group elements
WhiteNoiseFactor.h | Binary white noise factor
sam |
BearingFactor.h | Serializable factor induced by a bearing measurement
BearingRangeFactor.h | Single factor contains both the bearing and the range to prevent handle to pair bearing and range factors
RangeFactor.h | Serializable factor induced by a range measurement
sfm |
BinaryMeasurement.h | Binary measurement represents a measurement between two keys in a graph. A binary measurement is similar to a BetweenFactor, except that it does not contain an error function. It is a measurement (along with a noise model) from one key to another. Note that the direction is important. A measurement from key1 to key2 is not the same as the same measurement from key2 to key1
DsfTrackGenerator.cpp | Identifies connected components in the keypoint matches graph
DsfTrackGenerator.h | Identifies connected components in the keypoint matches graph
MFAS.cpp | Source file for the MFAS class
MFAS.h | MFAS class to solve Minimum Feedback Arc Set graph problem
SfmData.cpp | Data structure for dealing with Structure from Motion data
SfmData.h | Data structure for dealing with Structure from Motion data
SfmTrack.cpp | A simple data structure for a track in Structure from Motion
SfmTrack.h | A simple data structure for a track in Structure from Motion
ShonanAveraging.cpp | Shonan Averaging algorithm
ShonanAveraging.h | Shonan Averaging algorithm
ShonanFactor.h | Main factor type in Shonan averaging, on SO(n) pairs
ShonanGaugeFactor.h | Factor used in Shonan Averaging to clamp down gauge freedom
TranslationFactor.h | Binary factor for a relative translation direction measurement
TranslationRecovery.cpp | Source code for recovering translations when rotations are given
TranslationRecovery.h | Recovering translations in an epipolar graph when rotations are given
slam |
AntiFactor.h |
BearingFactor.h |
BearingRangeFactor.h |
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 |
expressions.h | Common expressions for solving geometry/slam/sfm problems
FrobeniusFactor.cpp | Various factors that minimize some Frobenius norm
FrobeniusFactor.h | Various factors that minimize some Frobenius norm
GeneralSFMFactor.h | General SFM factor with an unknown calibration
InitializePose.h | Common code between lago.* (2D) and InitializePose3.* (3D)
InitializePose3.cpp |
InitializePose3.h | Initialize Pose3 in a factor graph
JacobianFactorQ.h |
JacobianFactorQR.h |
JacobianFactorSVD.h |
KarcherMeanFactor-inl.h |
KarcherMeanFactor.h |
lago.h | Initialize Pose2 in a factor graph using LAGO (Linear Approximation for Graph Optimization)
OrientedPlane3Factor.h |
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 | Reprojection of a LANDMARK to a 2D point
RangeFactor.h |
ReferenceFrameFactor.h |
RegularImplicitSchurFactor.h | A subclass of GaussianFactor specialized to structureless SFM
RotateFactor.h |
SmartFactorBase.h | Base class to create smart factors on poses or cameras
SmartFactorParams.h | Collect common parameters for SmartProjection and SmartStereoProjection factors
SmartProjectionFactor.h | Smart factor on cameras (pose + calibration)
SmartProjectionPoseFactor.h | Smart factor on poses, assuming camera calibration is fixed
SmartProjectionRigFactor.h | Smart factor on poses, assuming camera calibration is fixed
StereoFactor.h | A non-linear factor for stereo measurements
TriangulationFactor.h |
symbolic |
SymbolicBayesNet.cpp |
SymbolicBayesNet.h |
SymbolicBayesTree.h |
SymbolicConditional.cpp |
SymbolicConditional.h |
SymbolicEliminationTree.cpp |
SymbolicEliminationTree.h |
SymbolicFactor-inst.h |
SymbolicFactor.cpp |
SymbolicFactor.h |
SymbolicFactorGraph.cpp |
SymbolicFactorGraph.h |
SymbolicISAM.cpp |
SymbolicISAM.h |
SymbolicJunctionTree.cpp |
SymbolicJunctionTree.h |
global_includes.h | Included from all GTSAM files
precompiled_header.cpp | We need exactly one compilation unit that includes the precompiled headers
precompiled_header.h | >