Demo class for the error estimators. Creates a random model using a kernel expansion that can be configured with the provided properties. More...

Detailed Description

Demo class for the error estimators. Creates a random model using a kernel expansion that can be configured with the provided properties.

Author: Daniel Wirtz

Date: 25.11.2010

Change in 0.2:: (Daniel Wirtz, 2011-03-22) Fixed the constructor to only take an optional dimension argument.

Definition at line 18 of file RandomModelEstimatorAnalyzer.m.

Public Member Functions
	RandomModelEstimatorAnalyzer (dims)
	Creates a new estimator demo. More...

function	setup ()

function	newCoeffs ()
	Function coefficients. More...

Public Member Functions inherited from EstimatorAnalyzer
	EstimatorAnalyzer (models.BaseFullModel model)

function	setModel (models.BaseFullModel model)
	Sets the model to use for the estimator demo. More...

function est =	getDefaultEstStruct ()
	Returns the default structure for the Est property of this class. Contains only the error.DefaultEstimator class labeled `True error`. More...

function [ errs , relerrs , ctimes , double t , PlotManager pm ] =	compute (colvec mu,integer inidx,PlotManager pm)
	Runs the demo with the current settings. More...

function [ errs , ctimes , varargout ] =	getErrorEstimates (colvec< double > mu, inidx, withrel)

function relerrs =	getRelativeErrorEstimates (errs,colvec< double > mu, inidx)

function pm =	createPlots (errs, relerrs, ctimes, pm)

function	plotErrors (errs, pm)

function	plotRelativeErrors (relerrs, pm)

function	plotCTimes (errs, ctimes, pm)

function pt =	getResultTable (errs, ctimes)

function ts =	createStatsTables (sort)
	Creates LaTeX tables with each the `Errors`,`Relative errors`,`Overestimations` and `Computation times` for the demos started since creation of the EstimatorAnalyzer. More...

Public Attributes
	Dims = 500
	System dimension. More...

	NumCenters = 10
	Number of centers used in kernel expansion. More...

	PositiveExpansion = false
	Strictly positive kernel expansion? More...

	UniformExpansion = false
	Uniform expansion or comp-wise separate? More...

Public Attributes inherited from EstimatorAnalyzer
models.BaseFullModel	Model
	The used model. More...

models.ReducedModel	ReducedModel
	The reduced model. More...

rowvec	EstimatorIterations = "[1 2]"
	How many estimator iterations should be performed? More...

rowvec	EstimatorVersions = "[1 1 0 0 1 0 0 1]"
	Chooses the estimator versions. Set to 1 for use, 0 for not use. 1: True Error 2: GLE, Global Lipschitz estimator. 3: LGL, Local Gradient Lipschitz 4: LSL, Local Secant Lipschitz 5: ILSL, Improved Local Secant Lipschitz 6: LGL TD, Time Discrete Local Gradient Lipschitz 7: LSL TD, Time Discrete Local Secant Lipschitz 8: ILSL TD, Time Discrete Improved Local Secant Lipschitz. More...

logical	LogarithmicPlot = true
	Determines whether to plot the errors on a logarithmic scale or not. More...

char	SaveTexTables = "tables.tex"
	Flag whether to save the time results as a LaTeX-Table into a text file. More...

logical	SortResultTable = false
	Set flag to sort the resulting computation time and estimates table by the product of comp-time and error estimate. More...

logical	UseOutputError = true
	Flag wether to use the output errors or state variable errors. More...

	MarkerSize = 8
	The marker size for error and relative errors plots. More...

	NumMarkers = 5
	The number of markers for error and relative errors plots. More...

	LineWidth = 2
	The line width to use. More...

	ErrorOrders = "[1 2 3 5 10]"
	% DEIM estimator related stuff The error orders to use. Unset if the JacDEIM/SimTranssizes version should be used. More...

struct	Est
	A struct containing information about different error estimators. More...

	PlotStartIndex = 1
	The position where to start plotting error estimates. More...

	ModelData
	A struct with fields Name, ErrsT, RelErrsT that contains information about the estimations of the different error estimators. More...

Public Attributes inherited from handle
	addlistener
	Creates a listener for the specified event and assigns a callback function to execute when the event occurs. More...

	notify
	Broadcast a notice that a specific event is occurring on a specified handle object or array of handle objects. More...

	delete
	Handle object destructor method that is called when the object's lifecycle ends. More...

	disp
	Handle object disp method which is called by the display method. See the MATLAB disp function. More...

	display
	Handle object display method called when MATLAB software interprets an expression returning a handle object that is not terminated by a semicolon. See the MATLAB display function. More...

	findobj
	Finds objects matching the specified conditions from the input array of handle objects. More...

	findprop
	Returns a meta.property objects associated with the specified property name. More...

	fields
	Returns a cell array of string containing the names of public properties. More...

	fieldnames
	Returns a cell array of string containing the names of public properties. See the MATLAB fieldnames function. More...

	isvalid
	Returns a logical array in which elements are true if the corresponding elements in the input array are valid handles. This method is Sealed so you cannot override it in a handle subclass. More...

	eq
	Relational functions example. See details for more information. More...

	transpose
	Transposes the elements of the handle object array. More...

	permute
	Rearranges the dimensions of the handle object array. See the MATLAB permute function. More...

	reshape
	hanges the dimensions of the handle object array to the specified dimensions. See the MATLAB reshape function. More...

	sort
	ort the handle objects in any array in ascending or descending order. More...

Constructor & Destructor Documentation

demos.RandomModelEstimatorAnalyzer.RandomModelEstimatorAnalyzer ( dims )

Creates a new estimator demo.

Parameters

dims	A scalar defining the dimensions of the default test model. Calling the constructor with no arguments causes the Demo to use the default demo model with the default dimension size (500).

Definition at line 74 of file RandomModelEstimatorAnalyzer.m.

References Dims, EstimatorAnalyzer.Model, and newCoeffs().

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