stdx::interval, a library for intervals on totally ordered sets Eric Hughes, Meadhbh Hamrick stdx::interval, a library for intervals on totally ordered sets Eric Hughes, Meadhbh Hamrick In brief stdx::interval stdx::interval implements the mathematical sense of an interval on a totally ordered set. The library reasons about intervals as sets, not as interval expressions. The library is header-only and targets incomplete subset. They do not see the whole problem, and some cases are obscure to them. In the case of stdx::interval, the complications come from degenerate cases. In the general case, there are four independent

template <stdx::ct_string C, stdx::ct_string L, stdx::ct_string S, typename Ctx> bool handled{}; 1 2 3 4 5 struct debug_handler { 6 template <stdx::ct_string C, stdx::ct_string L, stdx::ct_string S template <stdx::ct_string C, stdx::ct_string L, stdx::ct_string S, typename Ctx> bool handled{}; 1 2 3 4 5 struct debug_handler { 6 template <stdx::ct_string C, stdx::ct_string L, stdx::ct_string S template <stdx::ct_string C, stdx::ct_string L, stdx::ct_string S, typename Ctx> constexpr auto signal(auto ...) -> void { handled = true; } }; } 1 2 template <stdx::ct_string C

&val1, const T &val2) { // ... auto mask = u < thres; if (stdx::any_of(mask)) twoF = 2.0 + u * (2.0 / 3.0 + u * (0.4 + 2.0 / 7.0 * u)); if (!stdx::all_of(mask)) where(!mask, twoF) = log(zeta) / f; // simd_members(result, result, [&](auto& d, const auto& s) { d[i] = log(s[i]); }); } } return result; } { if (!stdx::all_of(mask)) where(!mask, twoF) = MaskedLog(mask, zeta) / f; }Extended Features: Handling of Conditions reflection support 39 Olaf Krzikalla, DLR SP, 2024-09-17 template requires(!is_stdx_simd) inline auto where(const M& mask, T& dest) { return simd_access::where_expression(mask

&&; 85generator function construction #include namespace stdx = std::experimental; using intv = stdx::fixed_size_simd; std::random_device rd; // a seed source for the random namespace stdx = std::experimental; using intv = stdx::fixed_size_simd; int main() { std::array a_data = {-1, 2, 3, 4, 5, 6, 7, -8}; intv a; a.copy_from( a_data.begin(), stdx::vector_aligned

end(), [](auto& v) { 3 v = std::sin(v); 4 }); 5 } • Lambda called with stdx::native_simd. • Epilogue: called with stdx::simd with different Abi so that the remainder of data is processed