| Eigen::aligned_allocator< T > | STL compatible allocator to use with with 16 byte aligned types |
| Eigen::AlignedBox< _Scalar, _AmbientDim > | An axis aligned box |
| Eigen::AMDOrdering< StorageIndex > | |
| Eigen::AngleAxis< _Scalar > | Represents a 3D rotation as a rotation angle around an arbitrary 3D axis |
| Eigen::Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > | General-purpose arrays with easy API for coefficient-wise operations |
| Eigen::ArrayBase< Derived > | Base class for all 1D and 2D array, and related expressions |
| Eigen::ArrayWrapper< ExpressionType > | Expression of a mathematical vector or matrix as an array object |
| Eigen::ArrayXpr | |
| Eigen::BDCSVD< _MatrixType > | Class Bidiagonal Divide and Conquer SVD |
| Eigen::BiCGSTAB< _MatrixType, _Preconditioner > | A bi conjugate gradient stabilized solver for sparse square problems |
| Eigen::Block< XprType, BlockRows, BlockCols, InnerPanel > | Expression of a fixed-size or dynamic-size block |
| Eigen::BlockImpl< XprType, BlockRows, BlockCols, InnerPanel, Sparse > | |
| Eigen::CholmodBase< _MatrixType, _UpLo, Derived > | The base class for the direct Cholesky factorization of Cholmod |
| Eigen::CholmodDecomposition< _MatrixType, _UpLo > | A general Cholesky factorization and solver based on Cholmod |
| Eigen::CholmodSimplicialLDLT< _MatrixType, _UpLo > | A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod |
| Eigen::CholmodSimplicialLLT< _MatrixType, _UpLo > | A simplicial direct Cholesky (LLT) factorization and solver based on Cholmod |
| Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo > | A supernodal Cholesky (LLT) factorization and solver based on Cholmod |
| Eigen::COLAMDOrdering< StorageIndex > | |
| Eigen::ColPivHouseholderQR< _MatrixType > | Householder rank-revealing QR decomposition of a matrix with column-pivoting |
| Eigen::CommaInitializer< XprType > | Helper class used by the comma initializer operator |
| Eigen::CompleteOrthogonalDecomposition< _MatrixType > | Complete orthogonal decomposition (COD) of a matrix |
| Eigen::ComplexEigenSolver< _MatrixType > | Computes eigenvalues and eigenvectors of general complex matrices |
| Eigen::ComplexSchur< _MatrixType > | Performs a complex Schur decomposition of a real or complex square matrix |
| Eigen::ConjugateGradient< _MatrixType, _UpLo, _Preconditioner > | A conjugate gradient solver for sparse (or dense) self-adjoint problems |
| Eigen::CwiseBinaryOp< BinaryOp, LhsType, RhsType > | Generic expression where a coefficient-wise binary operator is applied to two expressions |
| Eigen::CwiseNullaryOp< NullaryOp, PlainObjectType > | Generic expression of a matrix where all coefficients are defined by a functor |
| Eigen::CwiseTernaryOp< TernaryOp, Arg1Type, Arg2Type, Arg3Type > | Generic expression where a coefficient-wise ternary operator is applied to two expressions |
| Eigen::CwiseUnaryOp< UnaryOp, XprType > | Generic expression where a coefficient-wise unary operator is applied to an expression |
| Eigen::CwiseUnaryView< ViewOp, MatrixType > | Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector |
| Eigen::Dense | |
| Eigen::doxygen::dense_xpr_base_dispatcher< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | |
| Eigen::doxygen::dense_xpr_base_dispatcher< Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | |
| Eigen::DenseBase< Derived > | Base class for all dense matrices, vectors, and arrays |
| Eigen::DenseCoeffsBase< Derived, DirectAccessors > | Base class providing direct read-only coefficient access to matrices and arrays |
| Eigen::DenseCoeffsBase< Derived, DirectWriteAccessors > | Base class providing direct read/write coefficient access to matrices and arrays |
| Eigen::DenseCoeffsBase< Derived, ReadOnlyAccessors > | Base class providing read-only coefficient access to matrices and arrays |
| Eigen::DenseCoeffsBase< Derived, WriteAccessors > | Base class providing read/write coefficient access to matrices and arrays |
| Eigen::Diagonal< MatrixType, _DiagIndex > | Expression of a diagonal/subdiagonal/superdiagonal in a matrix |
| Eigen::DiagonalMatrix< _Scalar, SizeAtCompileTime, MaxSizeAtCompileTime > | Represents a diagonal matrix with its storage |
| Eigen::DiagonalPreconditioner< _Scalar > | A preconditioner based on the digonal entries |
| Eigen::DiagonalWrapper< _DiagonalVectorType > | Expression of a diagonal matrix |
| Eigen::EigenBase< Derived > | |
| Eigen::EigenSolver< _MatrixType > | Computes eigenvalues and eigenvectors of general matrices |
| Eigen::ForceAlignedAccess< ExpressionType > | Enforce aligned packet loads and stores regardless of what is requested |
| Eigen::FullPivHouseholderQR< _MatrixType > | Householder rank-revealing QR decomposition of a matrix with full pivoting |
| Eigen::FullPivLU< _MatrixType > | LU decomposition of a matrix with complete pivoting, and related features |
| Eigen::GeneralizedEigenSolver< _MatrixType > | Computes the generalized eigenvalues and eigenvectors of a pair of general matrices |
| Eigen::GeneralizedSelfAdjointEigenSolver< _MatrixType > | Computes eigenvalues and eigenvectors of the generalized selfadjoint eigen problem |
| Eigen::HessenbergDecomposition< _MatrixType > | Reduces a square matrix to Hessenberg form by an orthogonal similarity transformation |
| Eigen::Homogeneous< MatrixType, _Direction > | Expression of one (or a set of) homogeneous vector(s) |
| Eigen::HouseholderQR< _MatrixType > | Householder QR decomposition of a matrix |
| Eigen::HouseholderSequence< VectorsType, CoeffsType, Side > | Sequence of Householder reflections acting on subspaces with decreasing size |
| Eigen::Hyperplane< _Scalar, _AmbientDim, _Options > | A hyperplane |
| Eigen::IdentityPreconditioner | A naive preconditioner which approximates any matrix as the identity matrix |
| Eigen::IncompleteCholesky< Scalar, _UpLo, _OrderingType > | Modified Incomplete Cholesky with dual threshold |
| Eigen::IncompleteLUT< _Scalar, _StorageIndex > | Incomplete LU factorization with dual-threshold strategy |
| Eigen::InnerStride< Value > | Convenience specialization of Stride to specify only an inner stride See class Map for some examples |
| Eigen::Inverse< XprType > | Expression of the inverse of another expression |
| Eigen::IOFormat | Stores a set of parameters controlling the way matrices are printed |
| Eigen::IterativeSolverBase< Derived > | Base class for linear iterative solvers |
| Eigen::JacobiRotation< Scalar > | Rotation given by a cosine-sine pair |
| Eigen::JacobiSVD< _MatrixType, QRPreconditioner > | Two-sided Jacobi SVD decomposition of a rectangular matrix |
| Eigen::IncompleteLUT< _Scalar, _StorageIndex >::keep_diag | |
| Eigen::SimplicialCholeskyBase< Derived >::keep_diag | |
| Eigen::LDLT< _MatrixType, _UpLo > | Robust Cholesky decomposition of a matrix with pivoting |
| Eigen::LeastSquareDiagonalPreconditioner< _Scalar > | Jacobi preconditioner for LeastSquaresConjugateGradient |
| Eigen::LeastSquaresConjugateGradient< _MatrixType, _Preconditioner > | A conjugate gradient solver for sparse (or dense) least-square problems |
| Eigen::LLT< _MatrixType, _UpLo > | Standard Cholesky decomposition (LL^T) of a matrix and associated features |
| Eigen::Map< PlainObjectType, MapOptions, StrideType > | A matrix or vector expression mapping an existing array of data |
| Eigen::Map< const Quaternion< _Scalar >, _Options > | Quaternion expression mapping a constant memory buffer |
| Eigen::Map< Quaternion< _Scalar >, _Options > | Expression of a quaternion from a memory buffer |
| Eigen::Map< SparseMatrixType > | Specialization of class Map for SparseMatrix-like storage |
| Eigen::MapBase< Derived, ReadOnlyAccessors > | Base class for dense Map and Block expression with direct access |
| Eigen::MapBase< Derived, WriteAccessors > | Base class for non-const dense Map and Block expression with direct access |
| Eigen::MappedSparseMatrix< _Scalar, _Flags, _StorageIndex > | Sparse matrix |
| Eigen::Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > | The matrix class, also used for vectors and row-vectors |
| Eigen::MatrixBase< Derived > | Base class for all dense matrices, vectors, and expressions |
| Eigen::MatrixWrapper< ExpressionType > | Expression of an array as a mathematical vector or matrix |
| Eigen::MatrixXpr | |
| Eigen::MetisOrdering< StorageIndex > | |
| Eigen::NaturalOrdering< StorageIndex > | |
| Eigen::NestByValue< ExpressionType > | Expression which must be nested by value |
| Eigen::NoAlias< ExpressionType, StorageBase > | Pseudo expression providing an operator = assuming no aliasing |
| Eigen::NumTraits< T > | Holds information about the various numeric (i.e. scalar) types allowed by Eigen |
| Eigen::OuterStride< Value > | Convenience specialization of Stride to specify only an outer stride See class Map for some examples |
| Eigen::ParametrizedLine< _Scalar, _AmbientDim, _Options > | A parametrized line |
| Eigen::PardisoLDLT< MatrixType, Options > | A sparse direct Cholesky (LDLT) factorization and solver based on the PARDISO library |
| Eigen::PardisoLLT< MatrixType, _UpLo > | A sparse direct Cholesky (LLT) factorization and solver based on the PARDISO library |
| Eigen::PardisoLU< MatrixType > | A sparse direct LU factorization and solver based on the PARDISO library |
| Eigen::PartialPivLU< _MatrixType > | LU decomposition of a matrix with partial pivoting, and related features |
| Eigen::PartialReduxExpr< MatrixType, MemberOp, Direction > | Generic expression of a partially reduxed matrix |
| Eigen::PastixLDLT< _MatrixType, _UpLo > | A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library |
| Eigen::PastixLLT< _MatrixType, _UpLo > | A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library |
| Eigen::PastixLU< _MatrixType, IsStrSym > | Sparse direct LU solver based on PaStiX library |
| Eigen::PermutationBase< Derived > | Base class for permutations |
| Eigen::PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex > | Permutation matrix |
| Eigen::PermutationStorage | |
| Eigen::PermutationWrapper< _IndicesType > | Class to view a vector of integers as a permutation matrix |
| Eigen::PlainObjectBase< Derived > | Dense storage base class for matrices and arrays |
| Eigen::Product< _Lhs, _Rhs, Option > | Expression of the product of two arbitrary matrices or vectors |
| Eigen::Quaternion< _Scalar, _Options > | The quaternion class used to represent 3D orientations and rotations |
| Eigen::QuaternionBase< Derived > | Base class for quaternion expressions |
| Eigen::RealQZ< _MatrixType > | Performs a real QZ decomposition of a pair of square matrices |
| Eigen::RealSchur< _MatrixType > | Performs a real Schur decomposition of a square matrix |
| Eigen::Ref< PlainObjectType, Options, StrideType > | A matrix or vector expression mapping an existing expression |
| Eigen::Ref< SparseMatrixType, Options > | A sparse matrix expression referencing an existing sparse expression |
| Eigen::Ref< SparseVectorType > | A sparse vector expression referencing an existing sparse vector expression |
| Eigen::Replicate< MatrixType, RowFactor, ColFactor > | Expression of the multiple replication of a matrix or vector |
| Eigen::Reverse< MatrixType, Direction > | Expression of the reverse of a vector or matrix |
| Eigen::Rotation2D< _Scalar > | Represents a rotation/orientation in a 2 dimensional space |
| Eigen::RotationBase< Derived, _Dim > | Common base class for compact rotation representations |
| Eigen::ScalarBinaryOpTraits< ScalarA, ScalarB, BinaryOp > | Determines whether the given binary operation of two numeric types is allowed and what the scalar return type is |
| Scaling | Represents a generic uniform scaling transformation |
| Eigen::Select< ConditionMatrixType, ThenMatrixType, ElseMatrixType > | Expression of a coefficient wise version of the C++ ternary operator ?: |
| Eigen::SelfAdjointEigenSolver< _MatrixType > | Computes eigenvalues and eigenvectors of selfadjoint matrices |
| Eigen::SelfAdjointView< _MatrixType, UpLo > | Expression of a selfadjoint matrix from a triangular part of a dense matrix |
| Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering > | |
| Eigen::SimplicialCholeskyBase< Derived > | A base class for direct sparse Cholesky factorizations |
| Eigen::SimplicialLDLT< _MatrixType, _UpLo, _Ordering > | A direct sparse LDLT Cholesky factorizations without square root |
| Eigen::SimplicialLLT< _MatrixType, _UpLo, _Ordering > | A direct sparse LLT Cholesky factorizations |
| Eigen::Solve< Decomposition, RhsType > | Pseudo expression representing a solving operation |
| Eigen::SolverBase< Derived > | A base class for matrix decomposition and solvers |
| Eigen::SolverStorage | |
| Eigen::SolveWithGuess< Decomposition, RhsType, GuessType > | Pseudo expression representing a solving operation |
| Eigen::Sparse | |
| Eigen::SparseCompressedBase< Derived > | Common base class for sparse [compressed]-{row|column}-storage format |
| Eigen::SparseLU< _MatrixType, _OrderingType > | Sparse supernodal LU factorization for general matrices |
| Eigen::SparseMapBase< Derived, ReadOnlyAccessors > | Common base class for Map and Ref instance of sparse matrix and vector |
| Eigen::SparseMapBase< Derived, WriteAccessors > | Common base class for writable Map and Ref instance of sparse matrix and vector |
| Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex > | A versatible sparse matrix representation |
| Eigen::SparseMatrixBase< Derived > | Base class of any sparse matrices or sparse expressions |
| Eigen::SparseQR< _MatrixType, _OrderingType > | Sparse left-looking rank-revealing QR factorization |
| Eigen::SparseSelfAdjointView< MatrixType, _Mode > | Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix |
| Eigen::SparseSolverBase< Derived > | A base class for sparse solvers |
| Eigen::SparseVector< _Scalar, _Options, _StorageIndex > | Sparse vector class |
| Eigen::SparseView< MatrixType > | Expression of a dense or sparse matrix with zero or too small values removed |
| Eigen::SPQR< _MatrixType > | Sparse QR factorization based on SuiteSparseQR library |
| Eigen::Stride< _OuterStrideAtCompileTime, _InnerStrideAtCompileTime > | Holds strides information for Map |
| Eigen::SuperILU< _MatrixType > | A sparse direct incomplete LU factorization and solver based on the SuperLU library |
| Eigen::SuperLU< _MatrixType > | A sparse direct LU factorization and solver based on the SuperLU library |
| Eigen::SuperLUBase< _MatrixType, Derived > | The base class for the direct and incomplete LU factorization of SuperLU |
| Eigen::SVDBase< Derived > | Base class of SVD algorithms |
| Eigen::Transform< _Scalar, _Dim, _Mode, _Options > | Represents an homogeneous transformation in a N dimensional space |
| Eigen::Translation< _Scalar, _Dim > | Represents a translation transformation |
| Eigen::Transpose< MatrixType > | Expression of the transpose of a matrix |
| Eigen::Transpositions< SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex > | Represents a sequence of transpositions (row/column interchange) |
| Eigen::TranspositionsStorage | |
| Eigen::TriangularBase< Derived > | Base class for triangular part in a matrix |
| Eigen::TriangularView< _MatrixType, _Mode > | Expression of a triangular part in a matrix |
| Eigen::TriangularViewImpl< _MatrixType, _Mode, Dense > | Base class for a triangular part in a dense matrix |
| Eigen::TriangularViewImpl< MatrixType, Mode, Sparse > | Base class for a triangular part in a sparse matrix |
| Eigen::Tridiagonalization< _MatrixType > | Tridiagonal decomposition of a selfadjoint matrix |
| Eigen::Triplet< Scalar, StorageIndex > | A small structure to hold a non zero as a triplet (i,j,value) |
| Eigen::UmfPackLU< _MatrixType > | A sparse LU factorization and solver based on UmfPack |
| Eigen::VectorBlock< VectorType, Size > | Expression of a fixed-size or dynamic-size sub-vector |
| Eigen::VectorwiseOp< ExpressionType, Direction > | Pseudo expression providing partial reduction operations |
| Eigen::WithFormat< ExpressionType > | Pseudo expression providing matrix output with given format |
1.7.6.1