least_squares.hpp File Reference

#include <uni20/linalg/backends/least_squares_common.hpp>

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Namespaces
namespace	uni20
namespace	uni20::linalg
namespace	uni20::linalg::least_squares_detail

Functions
template<class Matrix >
void	uni20::linalg::least_squares_detail::givens (Matrix &a, Matrix &b, Precision p)
template<class X , class A , class B , class... P> requires least_squares_detail::Operands<X, A, B> && least_squares_detail::PrecisionArgs<typename A::value_type, P...>
consteval auto	uni20::linalg::kernel_accepts_types (CpuReferenceBackend, least_squares_op const &, X &, A &, B &, std::span< make_real_t< typename A::value_type > >, LeastSquaresInfo &, LeastSquaresOptions< make_real_t< typename A::value_type > > const &, P...)
	Accept matching host matrices for finite-precision reference QR least squares.
template<class X , class A , class B , class... P> requires least_squares_detail::Operands<X, A, B> && least_squares_detail::PrecisionArgs<typename A::value_type, P...>
KernelAttempt	uni20::linalg::try_kernel (CpuReferenceBackend, least_squares_op const &, X &x, A &a, B &b, std::span< make_real_t< typename A::value_type > > residuals, LeastSquaresInfo &info, LeastSquaresOptions< make_real_t< typename A::value_type > > const &options, P... precision)
	Solve by Givens QR; numerical failure completes dispatch without publishing output.