Automatic Differentiation
 
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stan::math::internal::ops_partials_edge< InnerType, T, require_std_vector_vt< is_fvar, T > > Class Template Reference

Detailed Description

template<typename InnerType, typename T>
class stan::math::internal::ops_partials_edge< InnerType, T, require_std_vector_vt< is_fvar, T > >

Definition at line 81 of file operands_and_partials.hpp.

#include <operands_and_partials.hpp>

Public Types

using Op = std::decay_t< T >
 
using Dx = std::decay_t< InnerType >
 
using partials_t = Eigen::Matrix< Dx, -1, 1 >
 

Public Member Functions

 ops_partials_edge (const Op &ops)
 
 ops_partials_edge (const ops_partials_edge< InnerType, T, require_std_vector_vt< is_fvar, T > > &other)
 
 ops_partials_edge (ops_partials_edge< InnerType, T, require_std_vector_vt< is_fvar, T > > &&other)
 
Dx dx ()
 

Public Attributes

partials_t partials_
 
broadcast_array< partials_tpartials_vec_ {partials_}
 
const Opoperands_
 

The documentation for this class was generated from the following file: