Modules
Here is a list of all modules:
[detail level 1234]
 Dense matrix and array manipulation
 TutorialMatrixClass
 TutorialMatrixArithmetic
 TutorialArrayClass
 TutorialBlockOperations
 TutorialSlicingIndexing
 TutorialAdvancedInitialization
 TutorialReductionsVisitorsBroadcasting
 TutorialReshape
 TutorialSTL
 TutorialMapClass
 TopicAliasing
 TopicStorageOrders
 Alignment issues
 TopicUnalignedArrayAssert
 TopicFixedSizeVectorizable
 TopicStructHavingEigenMembers
 TopicStlContainers
 TopicPassingByValue
 TopicWrongStackAlignment
 Reference
 Core_Module
 Global array typedefs
 Global matrix typedefs
 Flags
 Enumerations
 Jacobi_Module
 Householder_Module
 CoeffwiseMathFunctions
 QuickRefPage
 Dense linear problems and decompositions
 TutorialLinearAlgebra
 TopicLinearAlgebraDecompositions
 LeastSquares
 InplaceDecomposition
 DenseDecompositionBenchmark
 Reference
 Cholesky_Module
 LU_Module
 QR_Module
 SVD_Module
 Eigenvalues_Module
 Sparse linear algebra
 TutorialSparse
 TopicSparseSystems
 MatrixfreeSolverExample
 Reference
 SparseCore_Module
 OrderingMethods_Module
 SparseCholesky_Module
 SparseLU_Module
 SparseQR_Module
 IterativeLinearSolvers_Module
 Sparse_Module
 Support modulesCategory of modules which add support for external libraries
 SparseQuickRefPage
 Geometry
 TutorialGeometry
 Reference
 Geometry_Module
 Global aligned box typedefs
 Splines_Module
 Internal ClassesClasses for internal use. May be useful to developers
 Linear AlgebraA number of classes for linear algebra operations
 OperatorsDifferent types of operators
 Matrix OperationsDefine matrix operations on existing matrix objects
 Eigen SolversEigen solvers for different types of problems
 Generalized Eigen SolversGeneralized eigen solvers for different types of problems
 EnumerationsEnumeration types for the selection rule of eigenvalues
 Solving of sparse linear systems with least-squares
 Solving by multifrontal variable elimination (QR and Cholesky)
 Solving by sequential variable elimination (QR and Cholesky)
 Base
 Basis
 Discrete
 GeometryGeometric primitives
 Hybrid
 Inference
 Linear
 Navigation
 NonlinearCustom factor that takes a std::function as the error
 SAM
 SFMAn SfmTrack stores SfM measurements grouped in a track
 SLAMUseful SLAM components
 Symbolic
 ISAM2
 const_nameUnless stated otherwise, the following C++ functions behave the same as their Python counterparts
 Annotations
 Pytypes


gtsam
Author(s):
autogenerated on Wed Jan 1 2025 04:15:04