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Greedy.DataTree.Reduced.SeparableFunctionNode Class Reference

Detailed Description

Definition at line 20 of file SeparableFunctionNode.m.

Inheritance diagram for Greedy.DataTree.Reduced.SeparableFunctionNode:
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Collaboration diagram for Greedy.DataTree.Reduced.SeparableFunctionNode:
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Public Member Functions

 SeparableFunctionNode (IReducedModel rmodel,IDetailedData detailed_data, sfhandle)
 
function yesno = needs_subset_copy (TwoPhaseFlow.ReducedModel rmodel)
 
 
function conds = get_conds ()
 computes condition numbers of reduced basis matrices
 
function lc = lincomb_sequence (ModelDescr descr)
 
- 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.
 
- Public Member Functions inherited from DataTree.ILeafNode
function
children = 
length ()
 Returns the number of children of the node.
 
function index = get_index (dummy2, dummy3, dummy)
 Obtains the leaf index vector that best fits the child description given by the three arguments.
 
function this = set (dummy2,DataTree.INode value)
 Sets a child at the given path in the tree hierarchy.
 
function data = get (index)
 Access to a child of the current node.
 
function DataTree.ILeafNode node = get_active_leaf (DataTree.IModel model, id)
 retuns the leaf element for the current IDetailedModel configuration.
 
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.
 
- 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.
 
virtual function this = set (index, value)
 Sets a child at the given path in the tree hierarchy.
 
function  leaf_func (funcptr, ids, mu_cube, tslice)
 applies a function to all leafs of a DataTree
 
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.
 
function
start_index = 
traverse_start ()
 Start iterator for a full traverse of the DataTree.
 
function
next_index = 
traverse_next (this_index)
 iterator for a full traverse of the DataTree.
 
function
description = 
get_active_leaf_description (IModel model, ids)
 returns an enumeration of all leaves' basepath index vectors with a description of their parents.
 
function
description = 
get_leaf_description (ids, mu_cube, tslice)
 returns an enumeration of all leaves' basepath index vectors with a description of their parents.
 
function tstop = index_valid_till (index)
 Returns the last valid time step index of a time slice.
 
function INode data = get_by_description (id, mu, nt)
 A combination of get_index() and get()
 
function
active_leaf_index = 
get_active_leaf_index (IModel model, id)
 retuns the leaf element index for the current IDetailedModel configuration.
 
function DataTree.LeafNode
active_leaf = 
get_active_leaf (IModel model, id)
 retuns the leaf element for the current IDetailedModel configuration.
 
function  display (fn, basepath, name)
 overwrites the standard display method for DataTree objects
 
function lines = disp_node (basepath, fn)
 returns a cell array of strings with information on the node.
 
- 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.
 

Public Attributes

 bb
 
 sfhandle
 
 id
 
 N
 
- Public Attributes inherited from Greedy.User.IReducedDataNode
methods *function rdn
 

Member Function Documentation

function conds = Greedy.DataTree.Reduced.SeparableFunctionNode.get_conds ( )
virtual

computes condition numbers of reduced basis matrices

The output can be analyzed for example by the post-processing tools in Postprocess.

Return values
condsa vector of condition numbers. It is the implementers choice which matrices shall be added here.

Implements IReducedData.

Definition at line 93 of file SeparableFunctionNode.m.

function yesno = Greedy.DataTree.Reduced.SeparableFunctionNode.needs_subset_copy ( TwoPhaseFlow.ReducedModel  rmodel)

Definition at line 61 of file SeparableFunctionNode.m.

Member Data Documentation

Greedy.DataTree.Reduced.SeparableFunctionNode.id
Note
[readonly]

Definition at line 38 of file SeparableFunctionNode.m.

Greedy.DataTree.Reduced.SeparableFunctionNode.N
Note
[readonly]

Definition at line 40 of file SeparableFunctionNode.m.


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