Automatic Differentiation
 
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stan::math::internal::ops_partials_edge< double, Op, require_eigen_st< is_var, Op > > Class Template Reference

Detailed Description

template<typename Op>
class stan::math::internal::ops_partials_edge< double, Op, require_eigen_st< is_var, Op > >

Definition at line 138 of file operands_and_partials.hpp.

#include <operands_and_partials.hpp>

Public Types

using partials_t = arena_t< promote_scalar_t< double, Op > >
 

Public Member Functions

 ops_partials_edge (const Op &ops)
 
 ops_partials_edge (const ops_partials_edge< double, Op, require_eigen_st< is_var, Op > > &other)
 
auto & partial () noexcept
 
auto & operand () noexcept
 
auto size () const noexcept
 

Public Attributes

partials_t partials_
 
broadcast_array< partials_tpartials_vec_
 
arena_t< Op > operands_
 

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