ILPDCWrapper Class Reference

#include <OpenMS/ANALYSIS/DECHARGING/ILPDCWrapper.h>

Public Types
typedef std::vector< ChargePair >	PairsType
typedef PairsType::size_type	PairsIndex

Public Member Functions
	ILPDCWrapper ()
	Constructor. More...
virtual	~ILPDCWrapper ()
	Destructor. More...
double	compute (const FeatureMap fm, PairsType &pairs, Size verbose_level) const

Private Types
typedef Map< String, std::set< Size > >	FeatureType_

Private Member Functions
double	computeSlice_ (const FeatureMap fm, PairsType &pairs, const PairsIndex margin_left, const PairsIndex margin_right, const Size verbose_level) const
	slicing the problem into subproblems More...
double	computeSliceOld_ (const FeatureMap fm, PairsType &pairs, const PairsIndex margin_left, const PairsIndex margin_right, const Size verbose_level) const
	slicing the problem into subproblems More...
double	getLogScore_ (const PairsType::value_type &pair, const FeatureMap &fm) const
	calculate a score for the i_th edge More...
void	updateFeatureVariant_ (FeatureType_ &f_set, const String &rota_l, const Size &v) const

Member Typedef Documentation

FeatureType_

typedef Map<String, std::set<Size> > FeatureType_

private

PairsIndex

typedef PairsType::size_type PairsIndex

PairsType

typedef std::vector<ChargePair> PairsType

Constructor & Destructor Documentation

ILPDCWrapper()

ILPDCWrapper

(

)

Constructor.

~ILPDCWrapper()

virtual ~ILPDCWrapper ( )

virtual

Destructor.

Member Function Documentation

compute()

double compute	(	const FeatureMap	fm,
		PairsType &	pairs,
		Size	verbose_level
	)		const

Compute optimal solution and return value of objective function If the input feature map is empty, a warning is issued and -1 is returned.

Returns

value of objective function and pairs will have all realized edges set to "active"

computeSlice_()

double computeSlice_ ( const FeatureMap  fm, PairsType &  pairs, const PairsIndex  margin_left, const PairsIndex  margin_right, const Size  verbose_level  ) const

private

slicing the problem into subproblems

computeSliceOld_()

double computeSliceOld_ ( const FeatureMap  fm, PairsType &  pairs, const PairsIndex  margin_left, const PairsIndex  margin_right, const Size  verbose_level  ) const

private

slicing the problem into subproblems

getLogScore_()

double getLogScore_ ( const PairsType::value_type &  pair, const FeatureMap &  fm  ) const

private

calculate a score for the i_th edge

updateFeatureVariant_()

void updateFeatureVariant_ ( FeatureType_ &  f_set, const String &  rota_l, const Size &  v  ) const

private