mxlib
c++ tools for analyzing astronomical data and other tasks by Jared R. Males. [git repo]
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mx::AO::analysis::clAOLinearPredictor< _realT >::regResult Struct Reference

template<typename _realT>
struct mx::AO::analysis::clAOLinearPredictor< _realT >::regResult

Result from one evaluated regularization scale.

Definition at line 52 of file clAOLinearPredictor.hpp.

#include <ao/analysis/clAOLinearPredictor.hpp>

Public Attributes

realT sc
 Regularization scale in dB.
realT gopt
 Optimum gain at this scale.
realT gmax
 Maximum stable gain at this scale.
realT var
 Closed-loop variance at the optimum gain.

Member Data Documentation

◆ gmax

template<typename _realT>
realT mx::AO::analysis::clAOLinearPredictor< _realT >::regResult::gmax

Maximum stable gain at this scale.

Definition at line 56 of file clAOLinearPredictor.hpp.

◆ gopt

template<typename _realT>
realT mx::AO::analysis::clAOLinearPredictor< _realT >::regResult::gopt

Optimum gain at this scale.

Definition at line 55 of file clAOLinearPredictor.hpp.

◆ sc

template<typename _realT>
realT mx::AO::analysis::clAOLinearPredictor< _realT >::regResult::sc

Regularization scale in dB.

Definition at line 54 of file clAOLinearPredictor.hpp.

◆ var

template<typename _realT>
realT mx::AO::analysis::clAOLinearPredictor< _realT >::regResult::var

Closed-loop variance at the optimum gain.

Definition at line 57 of file clAOLinearPredictor.hpp.


The documentation for this struct was generated from the following file: