Automatic Differentiation
 
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stan::math::internal::ops_partials_edge< Dx, ViewElt, require_eigen_vt< is_fvar, ViewElt > > Class Template Reference

Detailed Description

template<typename Dx, typename ViewElt>
class stan::math::internal::ops_partials_edge< Dx, ViewElt, require_eigen_vt< is_fvar, ViewElt > >

Definition at line 113 of file operands_and_partials.hpp.

#include <operands_and_partials.hpp>

Public Types

using partials_t = promote_scalar_t< Dx, ViewElt >
 
using Op = plain_type_t< ViewElt >
 

Public Member Functions

template<typename OpT , require_eigen_vt< is_fvar, OpT > * = nullptr>
 ops_partials_edge (const OpT &ops)
 
 ops_partials_edge (const ops_partials_edge< Dx, ViewElt, require_eigen_vt< is_fvar, ViewElt > > &other)
 
 ops_partials_edge (ops_partials_edge< Dx, ViewElt, require_eigen_vt< is_fvar, ViewElt > > &&other)
 
Dx dx ()
 

Public Attributes

partials_t partials_
 
broadcast_array< partials_tpartials_vec_ {partials_}
 
Op operands_
 

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