Detailed Description

creates random Dof vectors (for testing purposes only!)

Definition at line 18 of file Random.m.

Inheritance diagram for SnapshotsGenerator.Random:

Collaboration diagram for SnapshotsGenerator.Random:

Public Member Functions
	Random (IDetailedModel dmodel, id, ranges, force_delete, enable_caching)
	constructor for the random detailed generator More...

Public Member Functions inherited from SnapshotsGenerator.Cached
	Cached (IDetailedModel dmodel, id, force_delete, enable_caching)
	constructor for the detailed generator More...

function	clear_cachedirectory ()
	clears the directory containing the cached mat-files

function	assert_model_is_consistent (IDetailedModel dmodel, comparemodel)
	throws an inconsistency error if the the current IDetailedModel object and the one stored on the harddrive differ. More...

function [ detailed_sample , tictoc , opt_fields ] =	generate (IDetailedModel dmodel,IDetailedData detailed_data, fields)
	generates a detailed data sample for a specific parameter using caching facilities More...

function	prepare (IDetailedModel dmodel,IDetailedData detailed_data, M)
	precompute detailed data for all parameters given by M. More...

function IDetailedModel dmodel =	get_underlying_model ()
	returns the detailed model stored on the harddrive with which the snaphshots were generated. More...

Public Attributes
	ranges = "[0 1]"
	min-max vector indicating the range for the random values of the generated Dof-values. More...

Public Attributes inherited from SnapshotsGenerator.Cached
	idname
	unique name created from the IDs as given to the constructor. More...

	id
	string identifier for this generator More...

	enable_caching = true
	boolean flag indicating whether caching is enabled. More...

	model_name = "default"
	name id of DetailedModel More...

	force_delete = true
	boolean value indicating whether the cached data shall be automatically deleted if its inconsistent with the given `dmodel`. More...

	countdown = 5
	seconds to wait before cached data is deleted automatically in case of inconsistent models. More...

	is_valid
	checks whether the basis generator points to a valid directory More...

Protected Member Functions
function [ U , opt_fields ] =	generate_impl (IDetailedModel dmodel,IDetailedData detailed_data, fields)
	generates a sample trajectory or detailed simulation item from which a new basis function can be generated. More...

Additional Inherited Members
Static Protected Member Functions inherited from SnapshotsGenerator.Cached
static function hashcode =	hashcode (IDetailedModel dmodel)
	this is a very simple hash code, generating an md5 hash out of the current parameter vector. More...

Constructor & Destructor Documentation

SnapshotsGenerator.Random.Random	(	IDetailedModel	dmodel,
			id,
			ranges,
			force_delete,
			enable_caching
	)

constructor for the random detailed generator

Parameters

dmodel	object specifying how the high dimensional data can be computed.
id	an identifier string
ranges	min-max vector indicating the range for the random values of the generated Dof-values. (Default = [0 1])
force_delete	boolean value indicating whether the cached data shall be automatically deleted if its inconsistent with the given `dmodel`. (Default = `true`)
enable_caching	boolean value indicating whether the generated data shall be stored in a cache. (Default = `true`)

Definition at line 40 of file Random.m.

function [U , opt_fields ] = SnapshotsGenerator.Random.generate_impl	(	IDetailedModel	dmodel,
		IDetailedData	detailed_data,
			fields
	)

protectedvirtual

generates a sample trajectory or detailed simulation item from which a new basis function can be generated.

Parameters

fields	cell array of structure field names which shall also be stored in the cache in the `opt_fields` structure. If not given only the `U` is generated.
dmodel	object specifying how the high dimensional data can be computed.
detailed_data	object defining the basis generation algorithm and storage for storing high dimensional data, i.e. dependent on dimension \(H\). This data is necessary for detailed simulations, construction of online matrices, `reduced_data` and reconstruction of reduced simulations.

Return values

U	a matrix with DOF vector columns holding the generated snapshots.
opt_fields	optional fields to be cached.

Definition at line 75 of file Random.m.

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SnapshotsGenerator.Random.ranges = "[0 1]"

min-max vector indicating the range for the random values of the generated Dof-values.

Default: "[0 1]"

Definition at line 28 of file Random.m.

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