operands_and_partials.hpp File Reference

#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/fun/size.hpp>
#include <stan/math/fwd/core/fvar.hpp>
#include <stan/math/fwd/meta.hpp>
#include <stan/math/prim/fun/as_column_vector_or_scalar.hpp>
#include <stan/math/prim/fun/elt_multiply.hpp>
#include <stan/math/prim/fun/sum.hpp>
#include <stan/math/prim/functor/broadcast_array.hpp>
#include <stan/math/prim/functor/operands_and_partials.hpp>
#include <stan/math/prim/functor/apply.hpp>
#include <stan/math/prim/functor/for_each.hpp>
#include <vector>

Go to the source code of this file.

Classes
class	stan::math::internal::ops_partials_edge< InnerType, T, require_fvar_t< T > >
class	stan::math::internal::ops_partials_edge< InnerType, T, require_std_vector_vt< is_fvar, T > >
class	stan::math::internal::ops_partials_edge< Dx, ViewElt, require_eigen_vt< is_fvar, ViewElt > >
class	stan::math::internal::ops_partials_edge< Dx, std::vector< Eigen::Matrix< fvar< Dx >, R, C > > >
class	stan::math::internal::ops_partials_edge< Dx, std::vector< std::vector< fvar< Dx > > > >
class	stan::math::operands_and_partials< Op1, Op2, Op3, Op4, Op5, Op6, Op7, Op8, fvar< Dx > >
	This class builds partial derivatives with respect to a set of operands. More...

Namespaces
namespace	stan
	The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation.
namespace	stan::math
	Matrices and templated mathematical functions.
namespace	stan::math::internal
	A comparator that works for any container type that has the brackets operator.

Functions
static constexpr auto	stan::math::internal::sum_dx ()
	End of recursion for summing .dx() for fvar<T> ops and partials.
template<typename T1 >
auto	stan::math::internal::sum_dx (T1 &a)
	End of recursion for summing .dx() for fvar<T> ops and partials.
template<typename T1 , typename T2 , typename... Types>
auto	stan::math::internal::sum_dx (T1 &a, T2 &b, Types &... args)
	Accumulate the .dx() from each of the edges in ops_and_partials_impl.