linalg Namespace Reference

Functions
void	avg (VectorView y, const ArrayOfVector &ys, const Index start=0, const Index end=-1)
	Compute the average of the ranged ys. More...
void	std (VectorView std, const Vector &y, const ArrayOfVector &ys, const Index start=0, const Index end=-1)
	Compute the standard deviation of the ranged ys. More...
void	var (VectorView var, const Vector &y, const ArrayOfVector &ys, const Index start=0, const Index end=-1)
	Compute the variance of the ranged ys. More...
void	cov (MatrixView cov, const Vector &y, const ArrayOfVector &ys, const Index start=0, const Index end=-1)
	Compute the covariance matrix of the ranged ys. More...
Numeric	median (const ConstVectorView v, const ArrayOfIndex &pos=ArrayOfIndex{})
	Get the median of the vector in the range. More...

Function Documentation

avg()

void linalg::avg	(	VectorView	y,
		const ArrayOfVector &	ys,
		const Index	start = 0,
		const Index	end = -1
	)

Compute the average of the ranged ys.

The range of ys is [start, end) if end is positive or [start, ys.nelem()+end] otherwise

Parameters

[in,out]	y	N-dimensional Vector; Averages of y in given range
[in]	ys	list of N-dimensional Vector(s) to average
[in]	start	First index in ys
[in]	end	Past last index representation

Definition at line 32 of file raw.cc.

References Zeeman::end(), and Array< base >::nelem().

cov()

void linalg::cov	(	MatrixView	cov,
		const Vector &	y,
		const ArrayOfVector &	ys,
		const Index	start = 0,
		const Index	end = -1
	)

Compute the covariance matrix of the ranged ys.

The range of ys is [start, end) if end is positive or [start, ys.nelem()+end] otherwise

Parameters

[in,out]	cov	N-by-N-dimensional Matrix; Covariance matrix
[in]	y	Averages of y in given range
[in]	ys	list of N-dimensional Vector(s) to average
[in]	start	First index in ys
[in]	end	Past last index representation

Definition at line 72 of file raw.cc.

References Zeeman::end(), and Array< base >::nelem().

median()

Numeric linalg::median	(	const ConstVectorView	v,
		const ArrayOfIndex &	pos = ArrayOfIndex{}
	)

Get the median of the vector in the range.

If pos is empty, use all numbers

Parameters

[in]	v	A Vector of any length
[in]	pos	Positions to use in the vector

Definition at line 90 of file raw.cc.

References i, n, Array< base >::nelem(), and ConstVectorView::nelem().

Referenced by ybatchTroposphericCorrectionNaiveMedianForward().

std()

void linalg::std	(	VectorView	std,
		const Vector &	y,
		const ArrayOfVector &	ys,
		const Index	start = 0,
		const Index	end = -1
	)

Compute the standard deviation of the ranged ys.

The range of ys is [start, end) if end is positive or [start, ys.nelem()+end] otherwise

Parameters

[in,out]	std	N-dimensional Vector; Standard deviations
[in]	y	Averages of y in given range
[in]	ys	list of N-dimensional Vector(s) to average
[in]	start	First index in ys
[in]	end	Past last index representation

Definition at line 66 of file raw.cc.

References VectorView::begin(), VectorView::end(), sqrt(), transform(), and var().

var()

void linalg::var	(	VectorView	var,
		const Vector &	y,
		const ArrayOfVector &	ys,
		const Index	start = 0,
		const Index	end = -1
	)

Compute the variance of the ranged ys.

The range of ys is [start, end) if end is positive or [start, ys.nelem()+end] otherwise

Parameters

[in,out]	var	N-dimensional Vector; Variance
[in]	y	Averages of y in given range
[in]	ys	list of N-dimensional Vector(s) to average
[in]	start	First index in ys
[in]	end	Past last index representation

Definition at line 49 of file raw.cc.

References Zeeman::end(), and Array< base >::nelem().

Referenced by abs_linesChangeLineShapeModelParameterForMatchingLines(), abs_linesSetLineShapeModelParameterForMatchingLines(), bad_propmat(), LineShape::SingleSpeciesModel::compute(), LineShape::SingleSpeciesModel::compute_dT(), LineShape::SingleSpeciesModel::compute_dT0(), LineShape::SingleSpeciesModel::compute_dX0(), LineShape::SingleSpeciesModel::compute_dX1(), LineShape::SingleSpeciesModel::compute_dX2(), LineShape::SingleSpeciesModel::compute_dX3(), LineShape::Model::Data(), LineShape::SingleSpeciesModel::Get(), LineShape::MetaData2ModelShape(), LineShape::ModelShape2MetaData(), LineShape::SingleSpeciesModel::Set(), Agenda::set_methods(), LineShape::SingleSpeciesModel::special_linemixing_aer(), LineShape::SingleSpeciesModel::special_linemixing_aer_dT(), split_quantum_numbers_from_hitran_online(), and std().