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1 // Copyright Nick Thompson, 2017
2 // Use, modification and distribution are subject to the
3 // Boost Software License, Version 1.0.
4 // (See accompanying file LICENSE_1_0.txt
5 // or copy at http://www.boost.org/LICENSE_1_0.txt)
6
7 // This implements the compactly supported cubic b spline algorithm described in
8 // Kress, Rainer. "Numerical analysis, volume 181 of Graduate Texts in Mathematics." (1998).
9 // Splines of compact support are faster to evaluate and are better conditioned than classical cubic splines.
10
11 // Let f be the function we are trying to interpolate, and s be the interpolating spline.
12 // The routine constructs the interpolant in O(N) time, and evaluating s at a point takes constant time.
13 // The order of accuracy depends on the regularity of the f, however, assuming f is
14 // four-times continuously differentiable, the error is of O(h^4).
15 // In addition, we can differentiate the spline and obtain a good interpolant for f'.
16 // The main restriction of this method is that the samples of f must be evenly spaced.
17 // Look for barycentric rational interpolation for non-evenly sampled data.
18 // Properties:
19 // - s(x_j) = f(x_j)
20 // - All cubic polynomials interpolated exactly
21
22 #ifndef BOOST_MATH_INTERPOLATORS_CUBIC_B_SPLINE_HPP
23 #define BOOST_MATH_INTERPOLATORS_CUBIC_B_SPLINE_HPP
24
25 #include <boost/math/interpolators/detail/cubic_b_spline_detail.hpp>
26 #include <boost/config/header_deprecated.hpp>
27
28 BOOST_HEADER_DEPRECATED("<boost/math/interpolators/cardinal_cubic_b_spline.hpp>");
29
30 namespace boost{ namespace math{
31
32 template <class Real>
33 class cubic_b_spline
34 {
35 public:
36 // If you don't know the value of the derivative at the endpoints, leave them as nans and the routine will estimate them.
37 // f[0] = f(a), f[length -1] = b, step_size = (b - a)/(length -1).
38 template <class BidiIterator>
39 cubic_b_spline(const BidiIterator f, BidiIterator end_p, Real left_endpoint, Real step_size,
40 Real left_endpoint_derivative = std::numeric_limits<Real>::quiet_NaN(),
41 Real right_endpoint_derivative = std::numeric_limits<Real>::quiet_NaN());
42 cubic_b_spline(const Real* const f, size_t length, Real left_endpoint, Real step_size,
43 Real left_endpoint_derivative = std::numeric_limits<Real>::quiet_NaN(),
44 Real right_endpoint_derivative = std::numeric_limits<Real>::quiet_NaN());
45
46 cubic_b_spline() = default;
47 Real operator()(Real x) const;
48
49 Real prime(Real x) const;
50
51 Real double_prime(Real x) const;
52
53 private:
54 std::shared_ptr<detail::cubic_b_spline_imp<Real>> m_imp;
55 };
56
57 template<class Real>
58 cubic_b_spline<Real>::cubic_b_spline(const Real* const f, size_t length, Real left_endpoint, Real step_size,
59 Real left_endpoint_derivative, Real right_endpoint_derivative) : m_imp(std::make_shared<detail::cubic_b_spline_imp<Real>>(f, f + length, left_endpoint, step_size, left_endpoint_derivative, right_endpoint_derivative))
60 {
61 }
62
63 template <class Real>
64 template <class BidiIterator>
65 cubic_b_spline<Real>::cubic_b_spline(BidiIterator f, BidiIterator end_p, Real left_endpoint, Real step_size,
66 Real left_endpoint_derivative, Real right_endpoint_derivative) : m_imp(std::make_shared<detail::cubic_b_spline_imp<Real>>(f, end_p, left_endpoint, step_size, left_endpoint_derivative, right_endpoint_derivative))
67 {
68 }
69
70 template<class Real>
71 Real cubic_b_spline<Real>::operator()(Real x) const
72 {
73 return m_imp->operator()(x);
74 }
75
76 template<class Real>
77 Real cubic_b_spline<Real>::prime(Real x) const
78 {
79 return m_imp->prime(x);
80 }
81
82 template<class Real>
83 Real cubic_b_spline<Real>::double_prime(Real x) const
84 {
85 return m_imp->double_prime(x);
86 }
87
88
89 }}
90 #endif