Classes
class	AscFile
	Columns based interface to an ASCII data file. More...

class	FitsIO
	FitsIO mother class: things FitsIn and FitsOut have in common. More...

class	FitsIn
	Reading FITS data segment, reading and modifying FITS header. More...

class	FitsOut
	Writing FITS files. More...

class	FitsExtension
	Common methods for FitsExtensionIn/Out. More...

class	FitsExtensionIn
	Primary HDU and extensions in one object. Look into test/testfitsextensionio.cpp for examples. More...

class	FitsExtensionOut
	Create a FITS extension object. Look into test/testfitsextensionio.cpp for examples. More...

class	emptyData_

class	BinTable
	Class for binary tables IO. More...

class	FitsBinTableIn
	Class to read binary table from FITS extensions. More...

class	MArray
	A dynamic N-dimensional array storing objects of type T. More...

class	MArrayIter

class	Shape

class	WCS
	Base class for intermediate WCs calculation. More...

class	CCS
	Base CCS class, use to derive the different projection / CCS. More...

class	CCS_TAN
	Gnonomic CCS, TAN representation. More...

class	FitsCCS
	CCS interface class. More...

class	less_nan

struct	LTLIterator

class	MArrayIterConst

class	IndexIter

struct	cast

class	ExprNode
	Node in the expression parse tree. Every expression in ultimately represented by this class. More...

class	ExprBinopNode
	Binary operation node in the expression parse tree. More...

class	ExprUnopNode
	Unary operation node in the expression parse tree. More...

class	ExprLiteralNode
	Node in the expression parse tree representing a literal number. More...

class	FourierTransform

class	Gnuplot

class	FMatrix
	Matrix with dimensions known at compile time. More...

class	FVector
	Vector whose length is known at compile time. More...

class	FVMemory
	Memory and data access interface for ltl::FVMemory. More...

class	FVMemory< T, N, 0 >

class	LTLException
	Exception indicating problems with LTL. More...

class	IOException
	Exception indicating problems with ASCII I/O. More...

class	RangeException
	Exception for ltl::MArray<T ,N> range check errors. More...

class	FitsException
	Exception indicating problems with FITS I/O. More...

class	LinearAlgebraException
	Exception indicating problems within Linear Algebra. More...

class	SingularMatrixException
	Exception indicating a singular Matrix. More...

class	DivergenceException
	Exception indicating a divergent iterative algorithm. More...

class	Range
	Class to enable referencing of ltl::MArray index ranges. More...

class	FitsHeader
	Representation of a complete FITS header. Holds also header I/O methods. More...

struct	tNMatPivot

class	tMatPivLoop

class	tMatPivSplitLoop

class	tNMatPivLoop

class	tMatElimLoop

class	tMatElimSplitLoop

class	tNMatElimLoop

class	tMatRestLoop

class	tMatRestSplitLoop

class	tNMatRestLoop

class	GaussJ
	Solve equation via Gauss-Jordan inversion or just do a Gauss-Jordan inversion. More...

class	tMatHesse

class	tMatHesseSplit

class	tNMatHesse

class	tMatFillHesse

class	tMatFillHesseSplit

class	tNMatFillHesse

class	tMatClearHesse

class	tMatClearHesseSplit

class	tNMatClearHesse

class	tMatHesseSplit< TPAR, NPAR, true >

class	tMatHesseSplit< TPAR, NPAR, false >

class	tNMatHesse< TPAR, NPAR, L, 1 >

class	tNMatHesse< TPAR, NPAR, L, 0 >

class	tNMatHesse< TPAR, NPAR, 0, 0 >

class	tMatFillHesseSplit< TPAR, NPAR, true >

class	tMatFillHesseSplit< TPAR, NPAR, false >

class	tNMatFillHesse< TPAR, NPAR, L, 1 >

class	tNMatFillHesse< TPAR, NPAR, L, 0 >

class	tNMatFillHesse< TPAR, NPAR, 1, 0 >

class	tMatClearHesseSplit< TPAR, NPAR, true >

class	tMatClearHesseSplit< TPAR, NPAR, false >

class	tNMatClearHesse< TPAR, NPAR, L, 1 >

class	tNMatClearHesse< TPAR, NPAR, L, 0 >

class	tNMatClearHesse< TPAR, NPAR, 0, 0 >

class	MRQFunction
	Mother (and example) for function class suitable for ltl::Marquardt. More...

class	Gaussian
	Approximation of a Gaussian function via Marquardt-Levenberg algorithm. More...

class	Gaussian< TPAR, TDAT, 7, 2 >

class	Gaussian< TPAR, TDAT, 5, 2 >

class	Gaussian< TPAR, TDAT, 3, 2 >

class	PolyGaussian

class	PolyGaussian< TPAR, TDAT, 7, 2 >

class	PolyGaussian< TPAR, TDAT, 5, 2 >

class	Moffat
	Approximation of a Moffat function via Marquardt-Levenberg algorithm. More...

class	Moffat< TPAR, TDAT, 10, 2 >

class	Moffat< TPAR, TDAT, 8, 2 >

class	DegMoffat
	Approximation of a Moffat function via Marquardt-Levenberg algorithm. More...

class	DegMoffat< TPAR, TDAT, 10, 2 >

class	DegMoffat< TPAR, TDAT, 8, 2 >

class	Marquardt
	Marquardt-Levenberg approximation of an arbitrary fitfunction TFUNC. More...

class	PolynomFit
	Class to fit a NPAR polynome to an NDIM ltl::MArray. More...

class	PolynomFit< TPAR, TDAT, ORDER, EXT, 1 >
	Specialisation for NDIM == 1. More...

class	PolynomFit< TPAR, TDAT, ORDER, false, 2 >
	Specialisation for NDIM == 2 and restrict mixed terms to sum( exponents ) <= ORDER. More...

class	PolynomFit< TPAR, TDAT, ORDER, true, 2 >
	Specialisation for NDIM == 2 and any mixed terms. More...

class	LMFit
	Marquardt-Levenberg fit to a generic function. More...

class	SVDecomposition

class	LUDecomposition

struct	ExprBase

struct	_et_applic_base
	This is just to keep everything together in class browsers. More...

Enumerations
enum	{ minStart = INT_MIN, minEnd = INT_MIN }

Functions
template<class T , int N>
MArray< T, N >	getFitsMArray (FitsIn &fitsfile)

template<class T , int N>
void	insertFitsMArray (MArray< T, N > &a, FitsIn &fitsfile)

template<class T >
MArray< T, 1 >	getMArrayRegion (MArray< T, 1 > &a, const util::Region &fregion)

template<class T >
MArray< T, 2 >	getMArrayRegion (MArray< T, 2 > &a, const util::Region &fregion)

template<class T >
MArray< T, 3 >	getMArrayRegion (MArray< T, 3 > &a, const util::Region &fregion)

template<class T >
MArray< T, 4 >	getMArrayRegion (MArray< T, 4 > &a, const util::Region &fregion)

template<class T >
MArray< T, 5 >	getMArrayRegion (MArray< T, 5 > &a, const util::Region &fregion)

template<int N>
istream &	operator>> (istream &is, Shape< N > &s)

template<class Expr , int N>
bool	allof (const ExprBase< Expr, N > &e)

template<class Expr , int N>
bool	noneof (const ExprBase< Expr, N > &e)

template<class Expr , int N>
bool	anyof (const ExprBase< Expr, N > &e)

template<class Expr , int N>
int	count (const ExprBase< Expr, N > &e)

template<class Expr , int N>
Expr::value_type	min (const ExprBase< Expr, N > &e)

template<class Expr , int N>
Expr::value_type	min (const ExprBase< Expr, N > &e, const typename Expr::value_type nan)

template<class Expr , int N>
Expr::value_type	max (const ExprBase< Expr, N > &e)

template<class Expr , int N>
Expr::value_type	max (const ExprBase< Expr, N > &e, const typename Expr::value_type nan)

template<class Expr , int N>
Expr::value_type	sum (const ExprBase< Expr, N > &e)

template<class Expr , int N>
Expr::value_type	sum (const ExprBase< Expr, N > &e, const typename Expr::value_type nan)

template<class Expr , int N>
Expr::value_type	product (const ExprBase< Expr, N > &e)

template<class Expr , int N>
Expr::value_type	product (const ExprBase< Expr, N > &e, const typename Expr::value_type nan)

template<class Expr , int N>
double	average (const ExprBase< Expr, N > &e)

template<class Expr , int N>
double	average (const ExprBase< Expr, N > &e, const typename Expr::value_type nan)

template<class Expr , int N>
double	variance (const ExprBase< Expr, N > &e, double *const avg=NULL)

template<class Expr , int N>
double	variance (const ExprBase< Expr, N > &e, const typename Expr::value_type nan, double *const avg=NULL)

template<class Expr , int N>
double	stddev (const ExprBase< Expr, N > &e, double *avg=NULL)

template<class Expr , int N>
double	stddev (const ExprBase< Expr, N > &e, typename Expr::value_type nan, double *avg=NULL)

template<class Expr , int N>
double	median_exact (const ExprBase< Expr, N > &a)

template<class Expr , int N>
double	median_exact (const ExprBase< Expr, N > &a, const typename Expr::value_type nan)

template<class T >
double	mode_histogram (const MArray< T, 1 > &h, const double min, const double step, const int sum)
	Helper class for `median_estimate()`. More...

template<class Expr , int N>
double	median_estimate (const ExprBase< Expr, N > &e, const int bins, const typename Expr::value_type min, const typename Expr::value_type max, double stepptr=NULL, int sumptr=NULL)

template<class Expr , int N>
double	median_estimate (const ExprBase< Expr, N > &e, const int bins, const typename Expr::value_type min, const typename Expr::value_type max, const typename Expr::value_type nan, double stepptr=NULL, int sumptr=NULL)

template<class Expr , int N>
MArray< int, 1 >	histogram (const ExprBase< Expr, N > &a, const int bins, const typename Expr::value_type min, const typename Expr::value_type max, double const step=NULL, int const sum=NULL)

template<class Expr , int N>
MArray< int, 1 >	histogram (const ExprBase< Expr, N > &a, const int bins, const typename Expr::value_type min, const typename Expr::value_type max, const typename Expr::value_type nan, double const step=NULL, int const sum=NULL)

template<class Expr , int N>
Expr::value_type	robust_sigma (const ExprBase< Expr, N > &a, const bool zero=false)

template<class Expr , int N>
Expr::value_type	biweight_mean (const ExprBase< Expr, N > &a, typename Expr::value_type *rsigma=NULL, const int maxit=20)

template<class Expr , int N>
int	kappa_sigma_average (const ExprBase< Expr, N > &a, const double kappa, double const mean, double const sigma=NULL)

template<class Expr , int N>
int	kappa_sigma_average (const ExprBase< Expr, N > &a, const double kappa, const typename Expr::value_type nan, double const mean, double const sigma=NULL)

template<class T >
int	median_sorted_array (const MArray< T, 1 > &array_, const double kappa, double const median, double const sigma=NULL)
	Return mode of sorted ltl::MArray<T, 1>. More...

template<class Expr , int N>
int	kappa_sigma_median (const ExprBase< Expr, N > &e, const double kappa, double const median, double const sigma=NULL)

template<class Expr , int N>
int	kappa_sigma_median (const ExprBase< Expr, N > &e, const double kappa, const typename Expr::value_type nan, double const median, double const sigma=NULL)

template<class T >
int	median_clip_average (const MArray< T, 1 > &a, const double kappa, double const mean, double const sigma=NULL)
	Return average after median clipping sorted ltl::MArray<T, 1> More...

template<class Expr , int N>
int	kappa_median_average (const ExprBase< Expr, N > &e, const double kappa, double const mean, double const sigma=NULL)

template<class Expr , int N>
int	kappa_median_average (const ExprBase< Expr, N > &e, const double kappa, const typename Expr::value_type nan, double const mean, double const sigma=NULL)

template<class T >
int	average_clip_median (const MArray< T, 1 > &a, const double kappa, double const mean, double const sigma=NULL)
	Return median after average clipping sorted ltl::MArray<T, 1> More...

template<class Expr , int N>
int	kappa_average_median (const ExprBase< Expr, N > &e, const double kappa, double const mean, double const sigma=NULL)

template<class Expr , int N>
int	kappa_average_median (const ExprBase< Expr, N > &e, const double kappa, const typename Expr::value_type nan, double const mean, double const sigma=NULL)

template<typename T1 , int N>
ExprNode< IndexIterDimExpr< T1, int, N >, N >	indexPosInt (const MArray< T1, N > &a, const int dim)

template<typename T1 , int N>
ExprNode< IndexIterDimExpr< T1, float, N >, N >	indexPosFlt (const MArray< T1, N > &a, const int dim)

template<typename T1 , int N>
ExprNode< IndexIterDimExpr< T1, double, N >, N >	indexPosDbl (const MArray< T1, N > &a, const int dim)

template<typename A , typename B >
const Shape< A::dims > *	_expr_getshape (const A &a, const B &)
	Determine the `shape` of an expression by returning the ltl::Shape objects on one of the ltl::MArray operatnds. More...

template<typename A , typename T >
const Shape< A::dims > *	_expr_getshape (const A &a, const ExprLiteralNode< T > &)

template<typename A , typename T >
const Shape< A::dims > *	_expr_getshape (const ExprLiteralNode< T > &, const A &a)

template<typename A , typename B >
int	_expr_getalign (const A &a, const B &)
	Determine the alignment (w.r.t. natural vector boundaries) of the operands in an expression. More...

template<typename A , typename T >
int	_expr_getalign (const A &a, const ExprLiteralNode< T > &)

template<typename T , typename A >
int	_expr_getalign (const ExprLiteralNode< T > &, const A &a)

Variables
const emptyData_	emptyData

Enumeration Type Documentation

anonymous enum

Enumerator
minStart
minEnd

Function Documentation

template<class T , int N>

MArray<T, N> ltl::getFitsMArray ( FitsIn & fitsfile )

References ltl::FitsIn::getDataArray(), ltl::FitsHeader::getNaxis(), and ltl::FitsIO::getRegionLength().

template<class T , int N>

void ltl::insertFitsMArray	(	MArray< T, N > &	a,
		FitsIn &	fitsfile
	)

References ltl::MArray< T, N >::begin(), getMArrayRegion(), ltl::FitsHeader::getNaxis(), ltl::FitsIO::getRegion(), ltl::FitsIO::getRegionEnd(), ltl::FitsIO::getRegionLength(), ltl::MArray< T, N >::length(), ltl::MArray< T, N >::nelements(), ltl::FitsIn::readDataArray(), ltl::FitsIn::readRegionArray(), ltl::FitsIn::resetRegion(), util::Region::setRange(), and ltl::FitsIn::setRegion().

template<class T >

MArray<T, 1> ltl::getMArrayRegion	(	MArray< T, 1 > &	a,
		const util::Region &	fregion
	)

References util::Region::getLength(), and util::Region::getStart().

Referenced by insertFitsMArray().

template<class T >

MArray<T, 2> ltl::getMArrayRegion	(	MArray< T, 2 > &	a,
		const util::Region &	fregion
	)

References util::Region::getEnd(), and util::Region::getStart().

template<class T >

MArray<T, 3> ltl::getMArrayRegion	(	MArray< T, 3 > &	a,
		const util::Region &	fregion
	)

References util::Region::getEnd(), and util::Region::getStart().

template<class T >

MArray<T, 4> ltl::getMArrayRegion	(	MArray< T, 4 > &	a,
		const util::Region &	fregion
	)

References util::Region::getEnd(), and util::Region::getStart().

template<class T >

MArray<T, 5> ltl::getMArrayRegion	(	MArray< T, 5 > &	a,
		const util::Region &	fregion
	)

References util::Region::getEnd(), and util::Region::getStart().

template<int N>

istream& ltl::operator>>	(	istream &	is,
		Shape< N > &	s
	)

template<typename A , typename T >

const Shape<A::dims>* ltl::_expr_getshape	(	const A &	a,
		const ExprLiteralNode< T > &
	)

inline

template<typename A , typename T >

const Shape<A::dims>* ltl::_expr_getshape	(	const ExprLiteralNode< T > &	,
		const A &	a
	)

inline

template<typename A , typename T >

int ltl::_expr_getalign	(	const A &	a,
		const ExprLiteralNode< T > &
	)

inline

template<typename T , typename A >

int ltl::_expr_getalign	(	const ExprLiteralNode< T > &	,
		const A &	a
	)

inline

Variable Documentation

const emptyData_ ltl::emptyData

Classes

Enumerations

Functions

Variables

Enumeration Type Documentation

Function Documentation

Variable Documentation