ltl Namespace Reference

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 FitsBinTableIn

  Class for binary table extensions. More...
  

• 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 MArray

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

• class less_nan
• struct LTLIterator
• class MArrayIterConst
• class MArrayIter
• 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...
  

• struct kernel_return_type
• struct cderiv1
• struct cderiv2
• struct cderiv3
• struct cderiv4
• struct fderiv1h
• struct fderiv2h
• struct fderiv3h
• struct fderiv4h
• struct fderiv1h2
• struct fderiv2h2
• struct fderiv3h2
• struct fderiv4h2
• struct Laplacian2D
• struct Laplacian2D4
• struct Laplacian3D
• struct Laplacian3D4
• struct grad2D
• struct kernel_return_type< Iter, grad2D >
• struct grad3D
• struct kernel_return_type< Iter, grad3D >
• 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...
  

• class GaussJ

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

• class tMatHesse
• class tMatHesseSplit
• class tMatHesseSplit< TPAR, NPAR, true >
• class tMatHesseSplit< TPAR, NPAR, false >
• class tNMatHesse
• class tNMatHesse< TPAR, NPAR, L, 1 >
• class tNMatHesse< TPAR, NPAR, L, 0 >
• class tNMatHesse< TPAR, NPAR, 0, 0 >
• class tMatFillHesse
• class tMatFillHesseSplit
• class tMatFillHesseSplit< TPAR, NPAR, true >
• class tMatFillHesseSplit< TPAR, NPAR, false >
• class tNMatFillHesse
• class tNMatFillHesse< TPAR, NPAR, L, 1 >
• class tNMatFillHesse< TPAR, NPAR, L, 0 >
• class tNMatFillHesse< TPAR, NPAR, 1, 0 >
• class tMatClearHesse
• class tMatClearHesseSplit
• class tMatClearHesseSplit< TPAR, NPAR, true >
• class tMatClearHesseSplit< TPAR, NPAR, false >
• class tNMatClearHesse
• 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().
  

• 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>.
  

• 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>.
  

• 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>.
  

• 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.
  

• 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.
  

• 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)
• template<typename E , typename Kernel , int N> ExprNode< ConvolveExpr
  < typename ExprNodeType< E >
  ::expr_type, Kernel, N >, N > convolve (const ExprBase< E, N > &A, const Kernel K)

Variables

• const emptyData_ emptyData

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Enumeration Type Documentation

anonymous enum

Enumerator:

minStart
minEnd

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Function Documentation

template<class T , int N>

MArray<T, N> ltl::getFitsMArray

(

FitsIn &

fitsfile

)

[inline]

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
	)			[inline]

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(), and ltl::FitsIn::setRegion().

template<class T >

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

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
	)			[inline]

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

template<class T >

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

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

template<class T >

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

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

template<class T >

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

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

template<int N>

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

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]

template<typename E , typename Kernel , int N>

ExprNode< ConvolveExpr<typename ExprNodeType<E>::expr_type, Kernel, N>, N> ltl::convolve	(	const ExprBase< E, N > &	A,
		const Kernel	K
	)			[inline]

global convolve() function template this template takes ExprBase objects and returns an ExprNode representing the convolution operation

References ltl::ExprBase< Derived_T, N_Dims >::derived().

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Variable Documentation

const emptyData_ ltl::emptyData