This PR adds the code of Boost.Math as of version 1.89 into the third-party directory, as discussed in a recent RFC [1]. The goal is for this code to be used as a back-end for the C++17 Math Special Functions. As explained in third-paty/README.md, this code is cleared for usage inside libc++ for the Math Special functions, however the LLVM Foundation should be consulted before using this code anywhere else in the LLVM project, due to the fact that it is under the Boost Software License (as opposed to the usual LLVM license). See the RFC [1] for more details. [1]: https://discourse.llvm.org/t/rfc-libc-taking-a-dependency-on-boost-math-for-the-c-17-math-special-functions
132 lines
4.1 KiB
C++
132 lines
4.1 KiB
C++
// Copyright Nick Thompson, 2020
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// Use, modification and distribution are subject to the
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// Boost Software License, Version 1.0.
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// (See accompanying file LICENSE_1_0.txt
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// or copy at http://www.boost.org/LICENSE_1_0.txt)
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#ifndef BOOST_MATH_INTERPOLATORS_PCHIP_HPP
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#define BOOST_MATH_INTERPOLATORS_PCHIP_HPP
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#include <sstream>
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#include <memory>
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#include <boost/math/interpolators/detail/cubic_hermite_detail.hpp>
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namespace boost {
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namespace math {
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namespace interpolators {
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template<class RandomAccessContainer>
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class pchip {
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public:
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using Real = typename RandomAccessContainer::value_type;
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pchip(RandomAccessContainer && x, RandomAccessContainer && y,
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Real left_endpoint_derivative = std::numeric_limits<Real>::quiet_NaN(),
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Real right_endpoint_derivative = std::numeric_limits<Real>::quiet_NaN())
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{
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using std::isnan;
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if (x.size() < 4)
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{
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std::ostringstream oss;
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oss << __FILE__ << ":" << __LINE__ << ":" << __func__;
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oss << " This interpolator requires at least four data points.";
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throw std::domain_error(oss.str());
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}
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RandomAccessContainer s(x.size(), std::numeric_limits<Real>::quiet_NaN());
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if (isnan(left_endpoint_derivative))
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{
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// If the derivative is not specified, this seems as good a choice as any.
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// In particular, it satisfies the monotonicity constraint 0 <= |y'[0]| < 4Delta_i,
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// where Delta_i is the secant slope:
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s[0] = (y[1]-y[0])/(x[1]-x[0]);
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}
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else
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{
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s[0] = left_endpoint_derivative;
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}
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for (decltype(s.size()) k = 1; k < s.size()-1; ++k) {
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Real hkm1 = x[k] - x[k-1];
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Real dkm1 = (y[k] - y[k-1])/hkm1;
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Real hk = x[k+1] - x[k];
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Real dk = (y[k+1] - y[k])/hk;
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Real w1 = 2*hk + hkm1;
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Real w2 = hk + 2*hkm1;
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if ( (dk > 0 && dkm1 < 0) || (dk < 0 && dkm1 > 0) || dk == 0 || dkm1 == 0)
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{
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s[k] = 0;
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}
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else
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{
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// See here:
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// https://www.mathworks.com/content/dam/mathworks/mathworks-dot-com/moler/interp.pdf
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// Un-numbered equation just before Section 3.5:
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s[k] = (w1+w2)/(w1/dkm1 + w2/dk);
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}
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}
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auto n = s.size();
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if (isnan(right_endpoint_derivative))
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{
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s[n-1] = (y[n-1]-y[n-2])/(x[n-1] - x[n-2]);
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}
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else
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{
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s[n-1] = right_endpoint_derivative;
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}
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impl_ = std::make_shared<detail::cubic_hermite_detail<RandomAccessContainer>>(std::move(x), std::move(y), std::move(s));
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}
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Real operator()(Real x) const {
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return impl_->operator()(x);
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}
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Real prime(Real x) const {
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return impl_->prime(x);
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}
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friend std::ostream& operator<<(std::ostream & os, const pchip & m)
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{
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os << *m.impl_;
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return os;
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}
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void push_back(Real x, Real y) {
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using std::abs;
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using std::isnan;
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if (x <= impl_->x_.back()) {
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throw std::domain_error("Calling push_back must preserve the monotonicity of the x's");
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}
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impl_->x_.push_back(x);
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impl_->y_.push_back(y);
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impl_->dydx_.push_back(std::numeric_limits<Real>::quiet_NaN());
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auto n = impl_->size();
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impl_->dydx_[n-1] = (impl_->y_[n-1]-impl_->y_[n-2])/(impl_->x_[n-1] - impl_->x_[n-2]);
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// Now fix s_[n-2]:
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auto k = n-2;
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Real hkm1 = impl_->x_[k] - impl_->x_[k-1];
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Real dkm1 = (impl_->y_[k] - impl_->y_[k-1])/hkm1;
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Real hk = impl_->x_[k+1] - impl_->x_[k];
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Real dk = (impl_->y_[k+1] - impl_->y_[k])/hk;
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Real w1 = 2*hk + hkm1;
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Real w2 = hk + 2*hkm1;
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if ( (dk > 0 && dkm1 < 0) || (dk < 0 && dkm1 > 0) || dk == 0 || dkm1 == 0)
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{
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impl_->dydx_[k] = 0;
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}
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else
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{
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impl_->dydx_[k] = (w1+w2)/(w1/dkm1 + w2/dk);
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}
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}
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private:
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std::shared_ptr<detail::cubic_hermite_detail<RandomAccessContainer>> impl_;
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};
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}
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}
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}
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#endif
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