sot::Sampling Class Reference

Abstract class for a SOT adaptive sampling class. More...

#include <adaptive_sampling.h>

Inheritance diagram for sot::Sampling:

Public Member Functions
virtual void	reset (int budget)=0
	Virtual method for reseting the object. More...
virtual mat	makePoints (const vec &xBest, const mat &points, const vec &sigma, int newPoints)=0
	Virtual method for proposing new evaluations. More...

Detailed Description

Abstract class for a SOT adaptive sampling class.

This is the abstract class that should be used as a Base class for all sampling objects in SOT. The sampling object is used to propose new evaluations after the initial experimental design has been evaluated.

Author

David Eriksson, dme65.nosp@m.@cor.nosp@m.nell..nosp@m.edu

Member Function Documentation

virtual mat sot::Sampling::makePoints ( const vec &  xBest, const mat &  points, const vec &  sigma, int  newPoints  )

pure virtual

Virtual method for proposing new evaluations.

Parameters

xBest	The best solution found so far
points	Previously evaluated points
sigma	The sampling radius for each dimension
newPoints	Number of new evaluations to be generated

Returns

The proposed points

Implemented in sot::GASampling, sot::Uniform< MeritFunction >, sot::DYCORS< MeritFunction >, and sot::SRBF< MeritFunction >.

virtual void sot::Sampling::reset ( int  budget )

pure virtual

Virtual method for reseting the object.

Parameters

budget

The remaining evaluation budget

Implemented in sot::GASampling, sot::Uniform< MeritFunction >, sot::DYCORS< MeritFunction >, and sot::SRBF< MeritFunction >.

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

• include/sot_bits/adaptive_sampling.h