NumCpp  2.14.0
A Templatized Header Only C++ Implementation of the Python NumPy Library
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legendre_q.hpp
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1
28#pragma once
29
30#ifndef NUMCPP_NO_USE_BOOST
31
32#include "boost/math/special_functions/legendre.hpp"
33
36#include "NumCpp/NdArray.hpp"
37
38namespace nc::polynomial
39{
40 //============================================================================
41 // Method Description:
49 template<typename dtype>
51 {
53
54 if (x < -1. || x > 1.)
55 {
56 THROW_INVALID_ARGUMENT_ERROR("input x must be of the range [-1, 1].");
57 }
58
59 return boost::math::legendre_q(n, static_cast<double>(x));
60 }
61
62 //============================================================================
63 // Method Description:
71 template<typename dtype>
73 {
75
76 const auto function = [n](dtype x) -> double { return legendre_q(n, x); };
77
79
80 return returnArray;
81 }
82} // namespace nc::polynomial
83
84#endif // #ifndef NUMCPP_NO_USE_BOOST
#define THROW_INVALID_ARGUMENT_ERROR(msg)
Definition Error.hpp:37
#define STATIC_ASSERT_ARITHMETIC(dtype)
Definition StaticAsserts.hpp:39
Holds 1D and 2D arrays, the main work horse of the NumCpp library.
Definition NdArrayCore.hpp:139
Definition chebyshev_t.hpp:39
double legendre_q(int32 n, dtype x)
Definition legendre_q.hpp:50
OutputIt transform(InputIt first, InputIt last, OutputIt destination, UnaryOperation unaryFunction)
Definition StlAlgorithms.hpp:775
NdArray< dtype > arange(dtype inStart, dtype inStop, dtype inStep=1)
Definition arange.hpp:59
std::int32_t int32
Definition Types.hpp:36