NumCpp  2.10.1
A Templatized Header Only C++ Implementation of the Python NumPy Library
chebyshev_t.hpp
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1 #pragma once
29 
30 #ifndef NUMCPP_NO_USE_BOOST
31 
32 #include "boost/math/special_functions/chebyshev.hpp"
33 
36 #include "NumCpp/NdArray.hpp"
37 
38 namespace nc::polynomial
39 {
40  //============================================================================
41  // Method Description:
49  template<typename dtype>
50  double chebyshev_t(uint32 n, dtype x)
51  {
53 
54  return boost::math::chebyshev_t(n, static_cast<double>(x));
55  }
56 
57  //============================================================================
58  // Method Description:
66  template<typename dtype>
68  {
69  NdArray<double> returnArray(inArrayX.shape());
70 
71  const auto function = [n](dtype x) -> double { return chebyshev_t(n, x); };
72 
73  stl_algorithms::transform(inArrayX.cbegin(), inArrayX.cend(), returnArray.begin(), function);
74 
75  return returnArray;
76  }
77 } // namespace nc::polynomial
78 
79 #endif // #ifndef NUMCPP_NO_USE_BOOST
#define STATIC_ASSERT_ARITHMETIC(dtype)
Definition: StaticAsserts.hpp:39
const_iterator cbegin() const noexcept
Definition: NdArrayCore.hpp:1308
Shape shape() const noexcept
Definition: NdArrayCore.hpp:4402
const_iterator cend() const noexcept
Definition: NdArrayCore.hpp:1616
iterator begin() noexcept
Definition: NdArrayCore.hpp:1258
Definition: chebyshev_t.hpp:39
NdArray< double > chebyshev_t(uint32 n, const NdArray< dtype > &inArrayX)
Definition: chebyshev_t.hpp:67
double chebyshev_t(uint32 n, dtype x)
Definition: chebyshev_t.hpp:50
OutputIt transform(InputIt first, InputIt last, OutputIt destination, UnaryOperation unaryFunction)
Definition: StlAlgorithms.hpp:775
std::uint32_t uint32
Definition: Types.hpp:40