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mxlib
c++ tools for analyzing astronomical data and other tasks by Jared R. Males. [git repo]
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Diagnostic summary of an open-loop optimum-gain search.
Definition at line 108 of file clGainOpt.hpp.
#include <ao/analysis/clGainOpt.hpp>
Public Attributes | |
| optGainStatus | status { optGainStatus::notRun } |
| Search termination state. | |
| uintmax_t | iterations { 0 } |
| Minimizer iterations attempted. | |
| size_t | evaluations { 0 } |
| Objective evaluations performed. | |
| realT | requestedMaximumGain { std::numeric_limits<realT>::quiet_NaN() } |
| Caller-supplied gain limit. | |
| realT | searchMinimumGain { std::numeric_limits<realT>::quiet_NaN() } |
| Final minimizer lower bound. | |
| realT | searchMaximumGain { std::numeric_limits<realT>::quiet_NaN() } |
| Final minimizer upper bound. | |
| realT | minimumEvaluatedGain { std::numeric_limits<realT>::quiet_NaN() } |
| Smallest evaluated gain. | |
| realT | maximumEvaluatedGain { std::numeric_limits<realT>::quiet_NaN() } |
| Largest evaluated gain. | |
| realT | gain { std::numeric_limits<realT>::quiet_NaN() } |
| Best gain returned by the minimizer. | |
| realT | variance { std::numeric_limits<realT>::quiet_NaN() } |
| Variance at the best gain. | |
| maxStableGainReport | stability |
| Automatic stability-search diagnostics, when requested. | |
| size_t mx::AO::analysis::clGainOpt< _realT >::optGainReport::evaluations { 0 } |
Objective evaluations performed.
Definition at line 112 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| realT mx::AO::analysis::clGainOpt< _realT >::optGainReport::gain { std::numeric_limits<realT>::quiet_NaN() } |
Best gain returned by the minimizer.
Definition at line 118 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| uintmax_t mx::AO::analysis::clGainOpt< _realT >::optGainReport::iterations { 0 } |
Minimizer iterations attempted.
Definition at line 111 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| realT mx::AO::analysis::clGainOpt< _realT >::optGainReport::maximumEvaluatedGain { std::numeric_limits<realT>::quiet_NaN() } |
Largest evaluated gain.
Definition at line 117 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| realT mx::AO::analysis::clGainOpt< _realT >::optGainReport::minimumEvaluatedGain { std::numeric_limits<realT>::quiet_NaN() } |
Smallest evaluated gain.
Definition at line 116 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| realT mx::AO::analysis::clGainOpt< _realT >::optGainReport::requestedMaximumGain { std::numeric_limits<realT>::quiet_NaN() } |
Caller-supplied gain limit.
Definition at line 113 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| realT mx::AO::analysis::clGainOpt< _realT >::optGainReport::searchMaximumGain { std::numeric_limits<realT>::quiet_NaN() } |
Final minimizer upper bound.
Definition at line 115 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| realT mx::AO::analysis::clGainOpt< _realT >::optGainReport::searchMinimumGain { std::numeric_limits<realT>::quiet_NaN() } |
Final minimizer lower bound.
Definition at line 114 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| maxStableGainReport mx::AO::analysis::clGainOpt< _realT >::optGainReport::stability |
Automatic stability-search diagnostics, when requested.
Definition at line 120 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| optGainStatus mx::AO::analysis::clGainOpt< _realT >::optGainReport::status { optGainStatus::notRun } |
Search termination state.
Definition at line 110 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop(), and mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().
| realT mx::AO::analysis::clGainOpt< _realT >::optGainReport::variance { std::numeric_limits<realT>::quiet_NaN() } |
Variance at the best gain.
Definition at line 119 of file clGainOpt.hpp.
Referenced by mx::AO::analysis::clGainOpt< _realT >::optGainOpenLoop().