A header file defining Eigen3 as the default interface. More...
#include <type_traits>
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Classes | |
| struct | OpenKalman::Matrix< RowCoefficients, ColumnCoefficients, NestedMatrix > |
| A matrix with typed rows and columns. More... | |
| struct | OpenKalman::Mean< RowCoefficients, NestedMatrix > |
| A set of one or more column vectors, each representing a statistical mean. More... | |
| struct | OpenKalman::EuclideanMean< RowCoefficients, NestedMatrix > |
| Similar to a Mean, but the coefficients are transformed into Euclidean space, based on their type. More... | |
| struct | OpenKalman::Covariance< StaticDescriptor, NestedMatrix > |
| A self-adjoint Covariance matrix. More... | |
| struct | OpenKalman::SquareRootCovariance< StaticDescriptor, NestedMatrix > |
| The upper or lower triangle Cholesky factor (square root) of a covariance matrix. More... | |
Namespaces | |
| OpenKalman | |
| The root namespace for OpenKalman. | |
Functions | |
| template<typename RowCoefficients , typename ColumnCoefficients = RowCoefficients, typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_matrix (const Args...args) |
| template<typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_matrix (const Args ... args) |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename Scalar , typename RowCoefficients , typename ColumnCoefficients = RowCoefficients, std::enable_if_t< values::number< Scalar > and fixed_pattern< RowCoefficients > and fixed_pattern< ColumnCoefficients >, int > = 0> | |
| auto | OpenKalman::make_matrix () |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename StaticDescriptor , typename ... Args, std::enable_if_t< fixed_pattern< StaticDescriptor > and(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_mean (const Args ... args) |
| template<typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_mean (const Args ... args) |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename Scalar , typename StaticDescriptor , std::size_t cols = 1, std::enable_if_t< values::number< Scalar > and fixed_pattern< StaticDescriptor >, int > = 0> | |
| auto | OpenKalman::make_mean () |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename StaticDescriptor , typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_euclidean_mean (const Args ... args) |
| template<typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_euclidean_mean (const Args ... args) |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename Scalar , typename StaticDescriptor , std::size_t cols = 1, std::enable_if_t< values::number< Scalar > and fixed_pattern< StaticDescriptor >, int > = 0> | |
| auto | OpenKalman::make_euclidean_mean () |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename StaticDescriptor , TriangleType triangle_type, typename ... Args, std::enable_if_t< fixed_pattern< StaticDescriptor > and(values::number< Args > and ...) and(triangle_type==TriangleType::lower or triangle_type==TriangleType::upper) and(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_covariance (const Args ... args) |
| template<typename StaticDescriptor , typename ... Args, std::enable_if_t< fixed_pattern< StaticDescriptor > and(values::number< Args > and ...) and(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_covariance (const Args ... args) |
| template<typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_covariance (const Args ... args) |
| template<typename StaticDescriptor , TriangleType triangle_type, typename Arg , std::enable_if_t< fixed_pattern< StaticDescriptor > and typed_matrix_nestable< Arg > and square_shaped< Arg >, int > = 0> | |
| auto | OpenKalman::make_covariance () |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename StaticDescriptor , typename Arg , std::enable_if_t<(covariance_nestable< Arg > or typed_matrix_nestable< Arg >) and square_shaped< Arg >, int > = 0> | |
| auto | OpenKalman::make_covariance () |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename StaticDescriptor , TriangleType triangle_type = TriangleType::lower, typename ... Args, std::enable_if_t< fixed_pattern< StaticDescriptor > and(values::number< Args > and ...) and(triangle_type==TriangleType::lower or triangle_type==TriangleType::upper) and(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_square_root_covariance (const Args ... args) |
| template<TriangleType triangle_type = TriangleType::lower, typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| auto | OpenKalman::make_square_root_covariance (const Args ... args) |
| template<typename StaticDescriptor , TriangleType triangle_type, typename Arg , std::enable_if_t< fixed_pattern< StaticDescriptor > and typed_matrix_nestable< Arg > and square_shaped< Arg >, int > = 0> | |
| auto | OpenKalman::make_square_root_covariance () |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
| template<typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| OpenKalman::Matrix (const Args ...) -> Matrix< Dimensions< sizeof...(Args)>, Axis, Eigen3::eigen_matrix_t< std::common_type_t< Args... >, sizeof...(Args), 1 >> | |
| template<typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| OpenKalman::Mean (const Args ...) -> Mean< Dimensions< sizeof...(Args)>, Eigen3::eigen_matrix_t< std::common_type_t< Args... >, sizeof...(Args), 1 >> | |
| If the arguments are a sequence of scalars, deduce a single-column mean with all Axis coefficients. | |
| template<typename ... Args, std::enable_if_t<(sizeof...(Args) > 0> | |
| OpenKalman::EuclideanMean (const Args ...) -> EuclideanMean< OpenKalman::Dimensions< sizeof...(Args)>, Eigen3::eigen_matrix_t< std::common_type_t< Args... >, sizeof...(Args), 1 >> | |
| If the arguments are a sequence of scalars, construct a single-column Euclidean mean. | |
| template<typename ... Args, std::enable_if_t<(values::number< Args > and ...) and(sizeof...(Args) > 0> | |
| OpenKalman::Covariance (const Args &...) -> Covariance< Dimensions< static_cast< std::size_t >(values::sqrt(sizeof...(Args)))>, HermitianAdapter< Eigen3::eigen_matrix_t< std::common_type_t< Args... >, static_cast< std::size_t >(values::sqrt(sizeof...(Args))), static_cast< std::size_t >(values::sqrt(sizeof...(Args)))>>> | |
| If the arguments are a sequence of scalars, derive a square, self-adjoint matrix. | |
| template<typename ... Args, std::enable_if_t<(values::number< Args > and ...) and(sizeof...(Args) > 0> | |
| OpenKalman::SquareRootCovariance (const Args &...) -> SquareRootCovariance< Dimensions< static_cast< std::size_t >(values::sqrt(sizeof...(Args)))>, TriangularAdapter< Eigen3::eigen_matrix_t< std::common_type_t< Args... >, static_cast< std::size_t >(values::sqrt(sizeof...(Args))), static_cast< std::size_t >(values::sqrt(sizeof...(Args)))>>> | |
| If the arguments are a sequence of scalars, derive a square, lower triangular matrix. | |
Detailed Description
A header file defining Eigen3 as the default interface.
The definitions in this file are only enabled if Eigen3 is the first-defined interface.
