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autodiff_scalar.h File Reference
#include <Eigen/SparseCore>
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Classes

struct  Eigen::internal::auto_diff_special_op< _DerType, Enable >
 
struct  Eigen::internal::auto_diff_special_op< _DerType, false >
 
struct  Eigen::internal::auto_diff_special_op< _DerType, true >
 
class  Eigen::AutoDiffScalar< _DerType >
 
class  Eigen::AutoDiffScalar< _DerType >
 
struct  Eigen::internal::make_coherent_impl< A, B >
 
struct  Eigen::internal::make_coherent_impl< A, Matrix< B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols > >
 
struct  Eigen::internal::make_coherent_impl< A, SparseVector< B_Scalar, B_Options, B_Index > >
 
struct  Eigen::internal::make_coherent_impl< Matrix< A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols >, B >
 
struct  Eigen::internal::make_coherent_impl< Matrix< A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols >, Matrix< B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols > >
 
struct  Eigen::internal::make_coherent_impl< SparseVector< A_Scalar, A_Options, A_Index >, B >
 
struct  Eigen::internal::make_coherent_impl< SparseVector< A_Scalar, A_Options, A_Index >, SparseVector< B_Scalar, B_Options, B_Index > >
 
class  std::numeric_limits< Eigen::AutoDiffScalar< T & > >
 
class  std::numeric_limits< Eigen::AutoDiffScalar< T > >
 
struct  Eigen::NumTraits< AutoDiffScalar< DerType > >
 
struct  Eigen::NumTraits< AutoDiffScalar< SparseVector< DerType_ > > >
 
struct  Eigen::ScalarBinaryOpTraits< AutoDiffScalar< DerType >, typename DerType::Scalar, BinOp >
 
struct  Eigen::ScalarBinaryOpTraits< typename DerType::Scalar, AutoDiffScalar< DerType >, BinOp >
 

Namespaces

 Eigen
 
 Eigen::internal
 
 std
 

Macros

#define EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(FUNC, CODE)
 

Enumerations

enum  { AUTODIFF_IS_SUPPORTED_ONLY_WITH_EIGEN_3_3_0_OR_ABOVE = 666 }
 

Functions

template<typename DerTypeA , typename DerTypeB >
const AutoDiffScalar< Matrix< typename internal::traits< typename internal::remove_all< DerTypeA >::type >::Scalar, Dynamic, 1 > > Eigen::atan2 (const AutoDiffScalar< DerTypeA > &a, const AutoDiffScalar< DerTypeB > &b)
 
template<typename DerTypeA , typename DerTypeB >
const AutoDiffScalar< SparseVector< typename internal::traits< typename internal::remove_all< DerTypeA >::type >::Scalar > > Eigen::atan2 (const AutoDiffScalar< DerTypeA > &a, const AutoDiffScalar< DerTypeB > &b)
 
template<typename DerType >
const AutoDiffScalar< DerType > & Eigen::conj (const AutoDiffScalar< DerType > &x)
 
 Eigen::EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (abs, using std::abs;return Eigen::MakeAutoDiffScalar(abs(x.value()), x.derivatives()*(x.value()< 0?-1:1));) EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(abs2
 
 Eigen::EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (sqrt, using std::sqrt;Scalar sqrtx=sqrt(x.value());return Eigen::MakeAutoDiffScalar(sqrtx, x.derivatives()*(Scalar(0.5)/sqrtx));) EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(cos
 
 Eigen::EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (sin, using std::sin;using std::cos;return Eigen::MakeAutoDiffScalar(sin(x.value()), x.derivatives()*cos(x.value()));) EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(exp
 
 Eigen::EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (log, using std::log;return Eigen::MakeAutoDiffScalar(log(x.value()), x.derivatives()*(Scalar(1)/x.value()));) template< typename DerType > inline const Eigen
 
 Eigen::EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (tan, using std::tan;using std::cos;return Eigen::MakeAutoDiffScalar(tan(x.value()), x.derivatives()*(Scalar(1)/numext::abs2(cos(x.value()))));) EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(asin
 
 Eigen::EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (acos, using std::sqrt;using std::acos;return Eigen::MakeAutoDiffScalar(acos(x.value()), x.derivatives()*(Scalar(-1)/sqrt(1-numext::abs2(x.value()))));) EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(tanh
 
 Eigen::EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (sinh, using std::sinh;using std::cosh;return Eigen::MakeAutoDiffScalar(sinh(x.value()), x.derivatives()*cosh(x.value()));) EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(cosh
 
template<typename DerType >
DerType::Scalar Eigen::imag (const AutoDiffScalar< DerType > &)
 
template<typename A , typename B >
void Eigen::internal::make_coherent (const A &a, const B &b)
 
template<typename NewDerType >
AutoDiffScalar< NewDerType > Eigen::MakeAutoDiffScalar (const typename NewDerType::Scalar &value, const NewDerType &der)
 
template<typename DerType >
const AutoDiffScalar< DerType > & Eigen::real (const AutoDiffScalar< DerType > &x)
 
 Eigen::return (x<=y?ADS(x):ADS(y))
 
 Eigen::return (x >=y?ADS(x):ADS(y))
 
 Eigen::return (x< y?ADS(x):ADS(y))
 
 Eigen::return (x > y?ADS(x):ADS(y))
 

Variables

Scalar Eigen::expx = exp(x.value())
 
const T & Eigen::y
 

Macro Definition Documentation

#define EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY (   FUNC,
  CODE 
)
Value:
template <typename DerType> \
inline const Eigen::AutoDiffScalar< \
EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(typename Eigen::internal::remove_all<DerType>::type, typename Eigen::internal::traits<typename Eigen::internal::remove_all<DerType>::type>::Scalar, product)> \
{ \
using namespace Eigen; \
typedef typename Eigen::internal::traits<typename Eigen::internal::remove_all<DerType>::type>::Scalar Scalar; \
EIGEN_UNUSED_VARIABLE(sizeof(Scalar)); \
CODE; \
}

Definition at line 615 of file autodiff_scalar.h.

Enumeration Type Documentation

anonymous enum
Enumerator
AUTODIFF_IS_SUPPORTED_ONLY_WITH_EIGEN_3_3_0_OR_ABOVE 

Definition at line 16 of file autodiff_scalar.h.



exotica_core
Author(s): Yiming Yang, Michael Camilleri
autogenerated on Sat Apr 10 2021 02:34:49