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Test.ReducedData Class Reference

Detailed Description

Test reduced data implementation.

Definition at line 18 of file ReducedData.m.

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Public Member Functions

 ReducedData (IReducedModel rmodel,IDetailedData detailed_data)
 Constructor for the generation of the reduced matrices and vectors. More...
 
function conds = get_conds ()
 
function yesno = needs_subset_copy (NonlinEvol.ReducedModel rmodel)
 
- Public Member Functions inherited from Greedy.User.IReducedDataNode
function
subset_reduced_data = 
extract_reduced_data_subset (Greedy.User.IReducedModel rmodel)
 Changes the size of the offline data matrices. More...
 
- Public Member Functions inherited from DataTree.ILeafNode
function
children = 
length ()
 Returns the number of children of the node. More...
 
function index = get_index (dummy2, dummy3, dummy)
 Obtains the leaf index vector that best fits the child description given by the three arguments. More...
 
function this = set (dummy2,DataTree.INode value)
 Sets a child at the given path in the tree hierarchy. More...
 
function data = get (index)
 Access to a child of the current node. More...
 
function DataTree.ILeafNode node = get_active_leaf (DataTree.IModel model, id)
 retuns the leaf element for the current IDetailedModel configuration. More...
 
function tree = create_tree (creator, ids, mu_cube, tslice, basepath)
 Creates a new tree from a subtree specified by ids, parameter and time index regions. More...
 
- Public Member Functions inherited from DataTree.INode
virtual function DataTree.INode tree = create_tree (DataTree.ICreator creator, ids, mu_cube, tslice, basepath)
 Creates a new tree from a subtree specified by ids, parameter and time index regions. More...
 
virtual function this = set (index, value)
 Sets a child at the given path in the tree hierarchy. More...
 
function  leaf_func (funcptr, ids, mu_cube, tslice)
 applies a function to all leafs of a DataTree More...
 
function tree = create_scalar_tree (funcptr, ids, mu_cube, tslice)
 copies the current trees with different leafs. These leafs are computes by a function returning scalar values. More...
 
function
start_index = 
traverse_start ()
 Start iterator for a full traverse of the DataTree. More...
 
function
next_index = 
traverse_next (this_index)
 iterator for a full traverse of the DataTree. More...
 
function
description = 
get_active_leaf_description (IModel model, ids)
 returns an enumeration of all leaves' basepath index vectors with a description of their parents. More...
 
function
description = 
get_leaf_description (ids, mu_cube, tslice)
 returns an enumeration of all leaves' basepath index vectors with a description of their parents. More...
 
function tstop = index_valid_till (index)
 Returns the last valid time step index of a time slice. More...
 
function INode data = get_by_description (id, mu, nt)
 A combination of get_index() and get() More...
 
function
active_leaf_index = 
get_active_leaf_index (IModel model, id)
 retuns the leaf element index for the current IDetailedModel configuration. More...
 
function DataTree.LeafNode
active_leaf = 
get_active_leaf (IModel model, id)
 retuns the leaf element for the current IDetailedModel configuration. More...
 
function  display (fn, basepath, name)
 overwrites the standard display method for DataTree objects More...
 
function lines = disp_node (basepath, fn)
 returns a cell array of strings with information on the node. More...
 
- Public Member Functions inherited from IReducedData
virtual function IReducedData
subset_reduced_data = 
extract_reduced_data_subset (rmodel)
 Changes the size of the offline data matrices. More...
 

Public Attributes

 N
 number of reduced basis vectors stored in this data node. More...
 
 M
 number of collateral reduced basis vectors stored in this data node. More...
 
 Mstrich
 number of collateral reduced basis vectors used for error estimation. More...
 
- Public Attributes inherited from Greedy.User.IReducedDataNode
methods *function rdn
 

Constructor & Destructor Documentation

Test.ReducedData.ReducedData ( IReducedModel  rmodel,
IDetailedData  detailed_data 
)

Constructor for the generation of the reduced matrices and vectors.

Parameters
rmodelobject specifying how the reduced simulations can be computed.
detailed_dataobject 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.

Definition at line 63 of file ReducedData.m.

Member Function Documentation

function yesno = Test.ReducedData.needs_subset_copy ( NonlinEvol.ReducedModel  rmodel)

Definition at line 117 of file ReducedData.m.

Member Data Documentation

Test.ReducedData.M

number of collateral reduced basis vectors stored in this data node.

Note
This property has non-standard access specifiers: SetAccess = Private, GetAccess = Public
Matlab documentation of property attributes.

Definition at line 39 of file ReducedData.m.

Test.ReducedData.Mstrich

number of collateral reduced basis vectors used for error estimation.

Note
This property has non-standard access specifiers: SetAccess = Private, GetAccess = Public
Matlab documentation of property attributes.

Definition at line 50 of file ReducedData.m.

Test.ReducedData.N

number of reduced basis vectors stored in this data node.

Note
This property has non-standard access specifiers: SetAccess = Private, GetAccess = Public
Matlab documentation of property attributes.

Definition at line 28 of file ReducedData.m.


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