NumCpp  2.6.2
A Templatized Header Only C++ Implementation of the Python NumPy Library
chebyshev_u.hpp
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1 
28 #pragma once
29 
30 #ifndef NUMCPP_NO_USE_BOOST
31 
34 #include "NumCpp/NdArray.hpp"
35 
36 #include "boost/math/special_functions/chebyshev.hpp"
37 
38 namespace nc
39 {
40  namespace polynomial
41  {
42  //============================================================================
43  // Method Description:
52  template<typename dtype>
53  double chebyshev_u(uint32 n, dtype x)
54  {
56 
57  return boost::math::chebyshev_u(n, static_cast<double>(x));
58  }
59 
60  //============================================================================
61  // Method Description:
70  template<typename dtype>
72  {
73  NdArray<double> returnArray(inArrayX.shape());
74 
75  const auto function = [n](dtype x) -> double
76  {
77  return chebyshev_u(n, x);
78  };
79 
80  stl_algorithms::transform(inArrayX.cbegin(), inArrayX.cend(), returnArray.begin(), function);
81 
82  return returnArray;
83  }
84  } // namespace polynomial
85 } // namespace nc
86 
87 #endif // #ifndef NUMCPP_NO_USE_BOOST
#define STATIC_ASSERT_ARITHMETIC(dtype)
Definition: StaticAsserts.hpp:37
Holds 1D and 2D arrays, the main work horse of the NumCpp library.
Definition: NdArrayCore.hpp:72
const_iterator cbegin() const noexcept
Definition: NdArrayCore.hpp:1270
Shape shape() const noexcept
Definition: NdArrayCore.hpp:4483
const_iterator cend() const noexcept
Definition: NdArrayCore.hpp:1614
iterator begin() noexcept
Definition: NdArrayCore.hpp:1214
double chebyshev_u(uint32 n, dtype x)
Definition: chebyshev_u.hpp:53
NdArray< double > chebyshev_u(uint32 n, const NdArray< dtype > &inArrayX)
Definition: chebyshev_u.hpp:71
OutputIt transform(InputIt first, InputIt last, OutputIt destination, UnaryOperation unaryFunction)
Definition: StlAlgorithms.hpp:702
Definition: Coordinate.hpp:45
std::uint32_t uint32
Definition: Types.hpp:40