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feat: 💥 delta and absolute construction helpers

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Mateusz Pusz
2024-06-30 12:03:24 +02:00
parent ad3035eafe
commit ba8681f90b
24 changed files with 309 additions and 330 deletions
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14
example/kalman_filter/kalman_filter-example_6.cpp
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@@ -62,13 +62,13 @@ int main()
using estimate = kalman::system_state_estimate<qp>;
using state = estimate::state_type;
const quantity process_noise_variance = 0.0001 * delta<pow<2>(deg_C)>;
const estimate initial{state{qp{60. * delta<deg_C>}}, 100. * delta<deg_C>};
const std::array measurements = {qp{49.986 * delta<deg_C>}, qp{49.963 * delta<deg_C>}, qp{50.097 * delta<deg_C>},
qp{50.001 * delta<deg_C>}, qp{50.018 * delta<deg_C>}, qp{50.05 * delta<deg_C>},
qp{49.938 * delta<deg_C>}, qp{49.858 * delta<deg_C>}, qp{49.965 * delta<deg_C>},
qp{50.114 * delta<deg_C>}};
const quantity measurement_error = 0.1 * delta<deg_C>;
const quantity process_noise_variance = delta<pow<2>(deg_C)>(0.0001);
const estimate initial{state{qp{delta<deg_C>(60.)}}, delta<deg_C>(100.)};
const std::array measurements = {qp{delta<deg_C>(49.986)}, qp{delta<deg_C>(49.963)}, qp{delta<deg_C>(50.097)},
qp{delta<deg_C>(50.001)}, qp{delta<deg_C>(50.018)}, qp{delta<deg_C>(50.05)},
qp{delta<deg_C>(49.938)}, qp{delta<deg_C>(49.858)}, qp{delta<deg_C>(49.965)},
qp{delta<deg_C>(50.114)}};
const quantity measurement_error = delta<deg_C>(0.1);
const quantity measurement_variance = pow<2>(measurement_error);
auto predict = [=](const estimate& current) {

14
example/kalman_filter/kalman_filter-example_7.cpp
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@@ -62,13 +62,13 @@ int main()
using estimate = kalman::system_state_estimate<qp>;
using state = estimate::state_type;
const quantity process_noise_variance = 0.0001 * delta<pow<2>(deg_C)>;
const estimate initial{state{qp{10. * delta<deg_C>}}, 100. * delta<deg_C>};
const std::array measurements = {qp{50.486 * delta<deg_C>}, qp{50.963 * delta<deg_C>}, qp{51.597 * delta<deg_C>},
qp{52.001 * delta<deg_C>}, qp{52.518 * delta<deg_C>}, qp{53.05 * delta<deg_C>},
qp{53.438 * delta<deg_C>}, qp{53.858 * delta<deg_C>}, qp{54.465 * delta<deg_C>},
qp{55.114 * delta<deg_C>}};
const quantity measurement_error = 0.1 * delta<deg_C>;
const quantity process_noise_variance = delta<pow<2>(deg_C)>(0.0001);
const estimate initial{state{qp{delta<deg_C>(10.)}}, delta<deg_C>(100.)};
const std::array measurements = {qp{delta<deg_C>(50.486)}, qp{delta<deg_C>(50.963)}, qp{delta<deg_C>(51.597)},
qp{delta<deg_C>(52.001)}, qp{delta<deg_C>(52.518)}, qp{delta<deg_C>(53.05)},
qp{delta<deg_C>(53.438)}, qp{delta<deg_C>(53.858)}, qp{delta<deg_C>(54.465)},
qp{delta<deg_C>(55.114)}};
const quantity measurement_error = delta<deg_C>(0.1);
const quantity measurement_variance = pow<2>(measurement_error);
auto predict = [=](const estimate& current) {

14
example/kalman_filter/kalman_filter-example_8.cpp
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@@ -62,13 +62,13 @@ int main()
using estimate = kalman::system_state_estimate<qp>;
using state = estimate::state_type;
const quantity process_noise_variance = 0.15 * delta<pow<2>(deg_C)>;
const estimate initial{state{qp{10. * delta<deg_C>}}, 100. * delta<deg_C>};
const std::array measurements = {qp{50.486 * delta<deg_C>}, qp{50.963 * delta<deg_C>}, qp{51.597 * delta<deg_C>},
qp{52.001 * delta<deg_C>}, qp{52.518 * delta<deg_C>}, qp{53.05 * delta<deg_C>},
qp{53.438 * delta<deg_C>}, qp{53.858 * delta<deg_C>}, qp{54.465 * delta<deg_C>},
qp{55.114 * delta<deg_C>}};
const quantity measurement_error = 0.1 * delta<deg_C>;
const quantity process_noise_variance = delta<pow<2>(deg_C)>(0.15);
const estimate initial{state{qp{delta<deg_C>(10.)}}, delta<deg_C>(100.)};
const std::array measurements = {qp{delta<deg_C>(50.486)}, qp{delta<deg_C>(50.963)}, qp{delta<deg_C>(51.597)},
qp{delta<deg_C>(52.001)}, qp{delta<deg_C>(52.518)}, qp{delta<deg_C>(53.05)},
qp{delta<deg_C>(53.438)}, qp{delta<deg_C>(53.858)}, qp{delta<deg_C>(54.465)},
qp{delta<deg_C>(55.114)}};
const quantity measurement_error = delta<deg_C>(0.1);
const quantity measurement_variance = pow<2>(measurement_error);
auto predict = [=](const estimate& current) {

2
example/spectroscopy_units.cpp
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@@ -84,7 +84,7 @@ int main()
const auto t3 = std::make_tuple(isq::energy(q3 * h), isq::wavenumber(q3 / c), q3,
isq::thermodynamic_temperature(q3 * h / kb), isq::wavelength(c / q3));
const auto q4 = isq::thermodynamic_temperature(1. * delta<K>);
const auto q4 = delta<isq::thermodynamic_temperature[K]>(1.);
const auto t4 = std::make_tuple(isq::energy(q4 * kb), isq::wavenumber(q4 * kb / (h * c)), isq::frequency(q4 * kb / h),
q4, isq::wavelength(h * c / (q4 * kb)));