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KerMor
0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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KerMor
0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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Base interface for any approximation training data selection algorithm. More...
Base interface for any approximation training data selection algorithm.
Definition at line 19 of file ASelector.m.
Public Member Functions | |
| ASelector () | |
| function data.ApproxTrainData atd = | selectTrainingData (model) |
| Performs the selection procedure. More... | |
 Public Member Functions inherited from KerMorObject | |
| KerMorObject () | |
| Constructs a new KerMor object. More... | |
| function | display () |
| disp(object2str(this)); More... | |
| function bool = | eq (B) |
| Checks equality of two KerMor objects. More... | |
| function bool = | ne (B) |
| Checks if two KerMorObjects are different. More... | |
| function cn = | getClassName () |
| Returns the simple class name of this object without packages. More... | |
| Public Member Functions inherited from DPCMObject | |
| DPCMObject () | |
| Creates a new DPCM object. More... | |
| DPCMObject () | |
| Public Member Functions inherited from ICloneable | |
| virtual function copy = | clone (target) |
| The interface method with returns a copy of the current class instance. More... | |
Public Attributes | |
| logical | EnsureUniqueData = true |
| Flag to enable automatic "uniqueification" if selected training data. Uniqueness is determined by the state space samples xi; if any xi is included twice or more, it is discarded along with the fxi, ti, mui data of the replicates (independent of whether they are equal, too) More... | |
| Public Attributes inherited from DPCMObject | |
| WorkspaceVariableName = "" | |
| The workspace variable name of this class. Optional. More... | |
| ID = "[]" | |
| An ID that allows to uniquely identify this DPCMObject (at least within the current MatLab session/context). More... | |
| PropertiesChanged = "[]" | |
| The Dictionary containing all the property settings as key/value pairs. 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... | |
Protected Member Functions | |
| virtual function [ data.FileMatrix xi , rowvec ti , matrix mui ] = | select (models.BaseFullModel model) |
| Template method for subclasses to specify selection behaviour. More... | |
| Protected Member Functions inherited from KerMorObject | |
| function | checkType (obj, type) |
| Object typechecker. More... | |
| Protected Member Functions inherited from DPCMObject | |
| function | registerProps (varargin) |
| Call this method at any class that defines DPCM observed properties. More... | |
| function | registerProps (varargin) |
Additional Inherited Members | |
| Static Protected Member Functions inherited from DPCMObject | |
| static function obj = | loadobj (obj, from) |
| Re-register any registered change listeners! More... | |
| static function obj = | loadobj (obj, from) |
| data.selection.ASelector.ASelector | ( | ) |
Definition at line 76 of file ASelector.m.
References KerMorObject.KerMorObject().
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protectedpure virtual |
Template method for subclasses to specify selection behaviour.
| model | The full model with the training data |
| xi | The selected \(x_i = x(t_i)\) training data |
| ti | The selected training times \(t_i\) |
| mui | The selected parameter samples \(\mu_i\) with which the states \(x_i\) have been reached |
Implemented in data.selection.EpsSelector, data.selection.TimeSelector, data.selection.LinspaceSelector, and data.selection.DefaultSelector.
Referenced by selectTrainingData().
| function data.ApproxTrainData atd = data.selection.ASelector.selectTrainingData | ( | model | ) |
Performs the selection procedure.
After some validity checks the template method is called to start the actual selection algorithm.
"Hack": We convert any selected xi values to a FileMatrix here. The fact that the selected data fits into memory at this stage of course means it could fit there later on (and will be done so), but regarding storage of the model it is more consistent for the case where it could not be the case. Moreover, as long as the selected data does not exceed the default block size (see data.FileMatrix.BLOCK_SIZE), it is stored in the cached Block anyways.
| model | The models.BaseFullModel subclass containing the training data in its Data property. |
| atd | The approximation training data |
Definition at line 81 of file ASelector.m.
References EnsureUniqueData, and select().
Referenced by data.ApproxTrainData.computeFrom().
| data.selection.ASelector.EnsureUniqueData = true |
Flag to enable automatic "uniqueification" if selected training data. Uniqueness is determined by the state space samples xi; if any xi is included twice or more, it is discarded along with the fxi, ti, mui data of the replicates (independent of whether they are equal, too)
Default: true
Definition at line 59 of file ASelector.m.
Referenced by selectTrainingData().
1.8.6 
