Detailed Description

Interface for parameter sampling classes producing discrete parameter sample in the parameter space \({\cal M}\).

Attention: An object must be initialized by init_sample() before it is fully functional. This can be checked by the init_required() method.

Definition at line 18 of file Interface.m.

Inheritance diagram for ParameterSampling.Interface:

Collaboration diagram for ParameterSampling.Interface:

Public Member Functions
virtual function	init_sample (IDetailedModel dmodel)
	initializes the parameter sampling object More...

virtual function size =	size ()
	returns the number of parameter vectors in this sampling More...

function please_init =	init_required ()
	returns a boolean indicating whether the object is fully functional, or must be initialized by a call to init_sample(). More...

Public Attributes
	sample
	matrix storing the parameter vectors in the parameter samples as row vectors. More...

Protected Attributes
	init_done = false
	boolean indicating whether the object has already been initialized by a call of init_sample(). More...

Member Function Documentation

function please_init = ParameterSampling.Interface.init_required ( )

returns a boolean indicating whether the object is fully functional, or must be initialized by a call to init_sample().

Return values

please_init boolean indicating whether init_sample() needs to be executed.

Definition at line 83 of file Interface.m.

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function ParameterSampling.Interface.init_sample ( IDetailedModel dmodel )

pure virtual

initializes the parameter sampling object

Parameters

dmodel object specifying how the high dimensional data can be computed.

function size = ParameterSampling.Interface.size ( )

pure virtual

returns the number of parameter vectors in this sampling

Return values

size	sample size

ParameterSampling.Interface.init_done = false

protected

boolean indicating whether the object has already been initialized by a call of init_sample().

Default: false

Definition at line 49 of file Interface.m.

ParameterSampling.Interface.sample

matrix storing the parameter vectors in the parameter samples as row vectors.

Note: This property has the MATLAB attribute Dependent set to true.; This property is an abstract property without implementation.; This property has non-standard access specifiers: SetAccess = Private, GetAccess = Public; Matlab documentation of property attributes.

Definition at line 33 of file Interface.m.

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