Automatic Differentiation
 
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is_dense_dynamic.hpp
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1#ifndef STAN_MATH_PRIM_META_IS_DENSE_DYNAMIC_HPP
2#define STAN_MATH_PRIM_META_IS_DENSE_DYNAMIC_HPP
3
12#include <type_traits>
13
14namespace stan {
15
16namespace internal {
17template <typename T, typename = void>
18struct is_dense_dynamic_impl : std::false_type {};
19
20template <typename T>
23 : std::true_type {};
24
25template <typename T>
27 : bool_constant<is_eigen_dense_dynamic<value_type_t<T>>::value> {};
28} // namespace internal
29
38template <typename T>
40
48template <typename T>
50
53template <typename... Types>
58} // namespace stan
59
60#endif
require_all_t< is_dense_dynamic< std::decay_t< Types > >... > require_all_dense_dynamic_t
Require all of the types satisfy is_dense_dynamic.
require_t< is_dense_dynamic< std::decay_t< T > > > require_dense_dynamic_t
Require type satisfies is_dense_dynamic.
std::enable_if_t< Check::value > require_t
If condition is true, template is enabled.
std::enable_if_t< math::conjunction< Checks... >::value > require_all_t
If all conditions are true, template is enabled Returns a type void if all conditions are true and ot...
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
STL namespace.
Underlying implimenation to check if an Eigen matrix has rows or cols not equal to 1.
Defines a static member named value which is defined to be false as the primitive scalar types cannot...
Definition is_var.hpp:14