walberla::math::DistributedSample Class Reference

Detailed Description

Class describing a distributed statistical sample.

#include <DistributedSample.h>

Public Member Functions
	DistributedSample ()
void	insert (const real_t val)
template<class InputIterator >
void	insert (InputIterator first, InputIterator last)
template<typename T >
void	castToRealAndInsert (const T &val)
template<class InputIterator >
void	castToRealAndInsert (InputIterator first, InputIterator last)
void	clear ()
void	mpiAllGather ()
	Combines the samples from all processes and stores the result on each process. More...
void	mpiGather (int rank)
	Combines the samples from all processes and stores the result on process 'rank'. More...
void	mpiGatherRoot ()
	Combines the samples from all processes and stores the result on the root process. More...
real_t	sum () const
real_t	min () const
real_t	max () const
real_t	range () const
real_t	mean () const
real_t	avg () const
real_t	variance () const
real_t	stdDeviation () const
real_t	relativeStdDeviation () const
uint_t	size ()
std::string	format (const std::string &formatString=DEFAULT_FORMAT_STRING) const
	Generates a string with attributes of the sample. More...

Private Attributes
std::vector< real_t >	data_
real_t	sum_
real_t	min_
real_t	max_
uint_t	size_
real_t	mean_
real_t	variance_

Static Private Attributes
static const std::string	DEFAULT_FORMAT_STRING

Constructor & Destructor Documentation

DistributedSample()

walberla::math::DistributedSample::DistributedSample ( )

inline

Member Function Documentation

avg()

real_t walberla::math::DistributedSample::avg ( ) const

inline

castToRealAndInsert() [1/2]

template<typename T >

void walberla::math::DistributedSample::castToRealAndInsert

(

const T &

val

)

castToRealAndInsert() [2/2]

template<class InputIterator >

void walberla::math::DistributedSample::castToRealAndInsert	(	InputIterator	first,
		InputIterator	last
	)

clear()

void walberla::math::DistributedSample::clear ( )

inline

format()

std::string walberla::math::DistributedSample::format

(

const std::string &

formatString = DEFAULT_FORMAT_STRING

)

const

Generates a string with attributes of the sample.

The following patters are replaced in the format string:

min by min() max by max() sum by sum() mean by mean() var by variance() stddev by stdDeviation() relstddev by relativeStdDeviation() size by size()

Returns

The formatted string.

insert() [1/2]

void walberla::math::DistributedSample::insert ( const real_t  val )

inline

insert() [2/2]

template<class InputIterator >

void walberla::math::DistributedSample::insert ( InputIterator  first, InputIterator  last  )

inline

max()

real_t walberla::math::DistributedSample::max ( ) const

inline

mean()

real_t walberla::math::DistributedSample::mean ( ) const

inline

min()

real_t walberla::math::DistributedSample::min ( ) const

inline

mpiAllGather()

void walberla::math::DistributedSample::mpiAllGather

(

)

Combines the samples from all processes and stores the result on each process.

Note that this is a collective MPI operation. It has to be called by all processes!

mpiGather()

void walberla::math::DistributedSample::mpiGather

(

int

rank

)

Combines the samples from all processes and stores the result on process 'rank'.

Note that this is a collective MPI operation. It has to be called by all processes!

Parameters

rank	The rank of the process the combined sample is stored on.

mpiGatherRoot()

void walberla::math::DistributedSample::mpiGatherRoot

(

)

Combines the samples from all processes and stores the result on the root process.

Note that this is a collective MPI operation. It has to be called by all processes!

range()

real_t walberla::math::DistributedSample::range ( ) const

inline

relativeStdDeviation()

real_t walberla::math::DistributedSample::relativeStdDeviation ( ) const

inline

size()

uint_t walberla::math::DistributedSample::size ( )

inline

stdDeviation()

real_t walberla::math::DistributedSample::stdDeviation ( ) const

inline

sum()

real_t walberla::math::DistributedSample::sum ( ) const

inline

variance()

real_t walberla::math::DistributedSample::variance ( ) const

inline

Member Data Documentation

data_

std::vector< real_t > walberla::math::DistributedSample::data_

private

DEFAULT_FORMAT_STRING

const std::string walberla::math::DistributedSample::DEFAULT_FORMAT_STRING

staticprivate

Initial value:

= "Sample has %size values in [%min, %max], "
                                                             "sum = %sum, mean = %mean, "
                                                             "stddev = %stddev (relative: %relstddev)"

max_

real_t walberla::math::DistributedSample::max_

private

mean_

real_t walberla::math::DistributedSample::mean_

private

min_

real_t walberla::math::DistributedSample::min_

private

size_

uint_t walberla::math::DistributedSample::size_

private

sum_

real_t walberla::math::DistributedSample::sum_

private

variance_

real_t walberla::math::DistributedSample::variance_

private

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

• /builds/administration/walberla-website/walberla/src/core/math/DistributedSample.h
• /builds/administration/walberla-website/walberla/src/core/math/DistributedSample.cpp