DNDS::ScalarStatistics Class Reference

Running-statistics accumulator using Welford's online algorithm. More...

#include <Profiling.hpp>

Public Member Functions
void	clear ()
	Reset counts and moments to zero.
ScalarStatistics &	update (real v)
	Incorporate a new sample v.
std::tuple< real, real >	get ()
	(mean, stddev) pair for the samples so far.
real	getSum () const
	Total sum of the samples (reconstructed from the running mean).

Detailed Description

Running-statistics accumulator using Welford's online algorithm.

Updates mean and variance in a single pass without storing the sample history. Numerically stable for long sequences. Used to report residual / CFL / iteration-count statistics during solver runs.

Definition at line 98 of file Profiling.hpp.

Member Function Documentation

clear()

void DNDS::ScalarStatistics::clear ( )

inline

Reset counts and moments to zero.

Definition at line 106 of file Profiling.hpp.

get()

std::tuple< real, real > DNDS::ScalarStatistics::get ( )

inline

(mean, stddev) pair for the samples so far.

Definition at line 123 of file Profiling.hpp.

getSum()

real DNDS::ScalarStatistics::getSum ( ) const

inline

Total sum of the samples (reconstructed from the running mean).

Definition at line 129 of file Profiling.hpp.

update()

ScalarStatistics & DNDS::ScalarStatistics::update ( real  v )

inline

Incorporate a new sample v.

Definition at line 113 of file Profiling.hpp.

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

• /home/runner/work/DNDSR/DNDSR/src/DNDS/Profiling.hpp