29 Numerics library [numerics]

29.9 Basic linear algebra algorithms [linalg]

29.9.9 Conjugated in-place transformation [linalg.conj]

29.9.9.3 Function template conjugated [linalg.conj.conjugated]

🔗
template<class ElementType, class Extents, class Layout, class Accessor> constexpr auto conjugated(mdspan<ElementType, Extents, Layout, Accessor> a);
1
#
Let A be remove_cvref_t<decltype(a.accessor().nested_accessor())> if Accessor is a specialization of conjugated_accessor, and otherwise conjugated_accessor<Accessor>.
2
#
Returns:
  • (2.1)
    If Accessor is a specialization of conjugated_accessor, mdspan<typename A::element_type, Extents, Layout, A>(a.data_handle(), a.mapping(), a.accessor().nested_accessor())
  • (2.2)
    otherwise, mdspan<typename A::element_type, Extents, Layout, A>(a.data_handle(), a.mapping(), conjugated_accessor(a.accessor()))
3
#
[Example 1: void test_conjugated_complex(mdspan<complex<double>, extents<int, 10>> a) { auto a_conj = conjugated(a); for (int i = 0; i < a.extent(0); ++i) { assert(a_conj[i] == conj(a[i]); } auto a_conj_conj = conjugated(a_conj); for (int i = 0; i < a.extent(0); ++i) { assert(a_conj_conj[i] == a[i]); } } void test_conjugated_real(mdspan<double, extents<int, 10>> a) { auto a_conj = conjugated(a); for (int i = 0; i < a.extent(0); ++i) { assert(a_conj[i] == a[i]); } auto a_conj_conj = conjugated(a_conj); for (int i = 0; i < a.extent(0); ++i) { assert(a_conj_conj[i] == a[i]); } } — end example]