ApproxMVBB::KdTree::LinearQualityEvaluator Class Reference

#include <KdTree.hpp>

List of all members.

Public Member Functions
PREC	compute (const PREC &splitRatio, const PREC &pointRatio, const PREC &minMaxExtentRatio)
	LinearQualityEvaluator (PREC ws=0.0, PREC wp=0.0, PREC we=1.0)
void	setLevel (unsigned int level)
Private Attributes
PREC	m_weightMinMaxExtentRatio = 1.0
PREC	m_weightPointRatio = 0.0
PREC	m_weightSplitRatio = 0.0

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Detailed Description

Quality evaluator for the split heuristic s = split ratio is between (0,0.5] p = point ratio is between [0,0.5] e = extent ratio is between (0,1] ws,wp,we are weightings between [0,1] for the following linear criteria: J(s,p,e) = ws*2*s + wp*2*p + we*e which is the return value of compute() and maximized by the kd-Tree building procedure!

Definition at line 266 of file KdTree.hpp.

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Constructor & Destructor Documentation

ApproxMVBB::KdTree::LinearQualityEvaluator::LinearQualityEvaluator	(	PREC	ws = 0.0,
		PREC	wp = 0.0,
		PREC	we = 1.0
	)		[inline]

By default ws=0, wp=0, we=1.0 which maximizes the extent ratio which is sensfull for midpoint splitting!

Definition at line 272 of file KdTree.hpp.

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Member Function Documentation

PREC ApproxMVBB::KdTree::LinearQualityEvaluator::compute	(	const PREC &	splitRatio,
		const PREC &	pointRatio,
		const PREC &	minMaxExtentRatio
	)		[inline]

Definition at line 279 of file KdTree.hpp.

void ApproxMVBB::KdTree::LinearQualityEvaluator::setLevel

(

unsigned int

level

)

[inline]

Definition at line 275 of file KdTree.hpp.

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Member Data Documentation

PREC ApproxMVBB::KdTree::LinearQualityEvaluator::m_weightMinMaxExtentRatio = 1.0 [private]

Definition at line 289 of file KdTree.hpp.

PREC ApproxMVBB::KdTree::LinearQualityEvaluator::m_weightPointRatio = 0.0 [private]

Definition at line 288 of file KdTree.hpp.

PREC ApproxMVBB::KdTree::LinearQualityEvaluator::m_weightSplitRatio = 0.0 [private]

Quality weights

Definition at line 287 of file KdTree.hpp.

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The documentation for this class was generated from the following file:

• KdTree.hpp