PUBLIC

MinMaxMeanCovariance3dC::MinMaxMeanCovariance3dC(const Point3dC &,const Point3dC &) MinMaxMeanCovariance3dC::MinMaxMeanCovariance3dC(const Point3dC &) MinMaxMeanCovariance3dC::MinMaxMeanCovariance3dC(const Mean3dC &) MinMaxMeanCovariance3dC::MinMaxMeanCovariance3dC(LongIntT,const Point3dC &,const Matrix3d3C &) MinMaxMeanCovariance3dC::MinMaxMeanCovariance3dC(const MinMaxMeanCovariance3dC &) MinMaxMeanCovariance3dC::Number(void) const MinMaxMeanCovariance3dC::Mean(void) const MinMaxMeanCovariance3dC::Mean3d(void) const MinMaxMeanCovariance3dC::Covariance(void) const MinMaxMeanCovariance3dC::Min(void) const MinMaxMeanCovariance3dC::Max(void) const MinMaxMeanCovariance3dC::MinMaxMeanCovariance3d(void) const MinMaxMeanCovariance3dC::MinMaxMeanCovariance3d(void) MinMaxMeanCovariance3dC::MeanCovariance3d(void) const MinMaxMeanCovariance3dC::SetZero(const Point3dC &,const Point3dC &) MinMaxMeanCovariance3dC::operator=(const MinMaxMeanCovariance3dC &) MinMaxMeanCovariance3dC::operator+=(const Point3dC &) MinMaxMeanCovariance3dC::operator+=(const Mean3dC &) MinMaxMeanCovariance3dC::operator+=(const MinMaxMeanCovariance3dC &) MinMaxMeanCovariance3dC::operator+(const MinMaxMeanCovariance3dC &) const MinMaxMeanCovariance3dC::SetSum(const MinMaxMeanCovariance3dC &,const MinMaxMeanCovariance3dC &)

MinMaxMeanCovariance3dC
Extrems and mean and covariance together
include	"amma/ExMeCo3d.hh"
User Level:	Default
Library:	MeanCov
Example:	exMat2d.cc
Section:	Statistics.3-D
In Scope:	std

Comments:
The class evaluates basic statistics of the set of points in 3D space. The following statistics are computed:

- number of points,

- minimum values of each coordinate,

- maximum values of each coordinate,

- mean value,

- covariance matrix.

MinMaxMeanCovariance3dC(const Point3dC & min,const Point3dC & max)

Creates empty structure and inits minimum and maximum.

MinMaxMeanCovariance3dC(const Point3dC & point)

Puts the first point into the structure.

MinMaxMeanCovariance3dC(const Mean3dC & mean)

Puts the set of the first points into the structure.

MinMaxMeanCovariance3dC(LongIntT n,const Point3dC & mean,const Matrix3d3C & cov)

Puts 'n' points into the structure.

MinMaxMeanCovariance3dC(const MinMaxMeanCovariance3dC & meanCov)

Copy constructor.

LongIntT Number() const

Returns the number of points in the structure.

const Point3dC & Mean() const

Returns the mean of the points.

const Mean3dC & Mean3d() const

Returns the number and the mean of the set of points.

const Matrix3d3C & Covariance() const

Returns the covariance matrix of the set of points.

const Point3dC & Min() const

Returns the minimum values of each coordinates separately.

const Point3dC & Max() const

Returns the maximum values of each coordinates separately.

const MinMaxMeanCovariance3dC & MinMaxMeanCovariance3d() const

Access to the constant object.

MinMaxMeanCovariance3dC & MinMaxMeanCovariance3d()

Access to the object.

const MeanCovariance3dC & MeanCovariance3d() const

Returns the mean and the covariance matrix of the set of points.

const MinMaxMeanCovariance3dC & SetZero(const Point3dC & min,const Point3dC & max)

Sets the empty set of points and init the minimum and maximum values.

const MinMaxMeanCovariance3dC & operator=(const MinMaxMeanCovariance3dC & meanCov)

Assigment operator.

const MinMaxMeanCovariance3dC & operator+=(const Point3dC & point)

Adds the 'point' into the set of points.

const MinMaxMeanCovariance3dC & operator+=(const Mean3dC & mean)

Adds the set of equal points into the set of points.

const MinMaxMeanCovariance3dC & operator+=(const MinMaxMeanCovariance3dC & meanCov)

Joins another set of points.

MinMaxMeanCovariance3dC operator+(const MinMaxMeanCovariance3dC & meanCov) const

Results the union of two set of points.

const MinMaxMeanCovariance3dC & SetSum(const MinMaxMeanCovariance3dC & meanCov1,const MinMaxMeanCovariance3dC & meanCov2)

Sets the object as the union of two sets of points.