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rbmatlab
1.16.09
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rbmatlab
1.16.09
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Parameter sampling class with uniformly distributed parameters in the parameter space.
Public Member Functions | |
| Uniform (init_numintervals, log_distribution) | |
| constructor More... | |
| function | init_sample (IDetailedModel dmodel) |
| initializes the parameter sampling object More... | |
| function levels = | get_refinement_levels () |
| returns the number of refinement steps for each sample element More... | |
| function size = | size () |
| returns the number of parameter vectors in this sampling More... | |
| function this = | refine (elems) |
| refines the object at the the given elements More... | |
| function cogs = | cogs () |
| returns the center of gravity of sample cells (in case the sample can be viewed as a grid) More... | |
| function skips = | skipped_refinements () |
| determines for every sample element how often it was skipped during the last refinement steps. More... | |
| function
max_vertex = | elementwise_maximum_of_vertex_values (values) |
| returns \(\max_{v \in V(e)} \text{val}_v\) for each sample cell \(e\) (in case the sample can be viewed as a grid with vertices as sample vectors) More... | |
 Public Member Functions inherited from ParameterSampling.IRefineable | |
| function sample = | get_sample_at_ref_level (ref_level) |
| helper function returning the sample at a given refinement level More... | |
| Public Member Functions inherited from ParameterSampling.Interface | |
| function
please_init = | init_required () |
| returns a boolean indicating whether the object is fully functional, or must be initialized by a call to init_sample(). More... | |
Public Attributes | |
| sample | |
| matrix storing the parameter vectors in the parameter samples as row vectors. More... | |
| log_distribution = false | |
| boolean value determining whether a logarithmic function shall be applied on the uniform distribution of the parameter samples. More... | |
| init_numintervals = 2 | |
| vector or scalar determining how many equally distant vectors shall be added to the parameter sample in each direction. More... | |
| ::cubegrid | pgrid |
| underlying grid | |
| Public Attributes inherited from ParameterSampling.IRefineable | |
| sample_history = {""} | |
| cell array of samples that are generated during refinement cycle More... | |
| refined_elements = {""} | |
| cell array of elements which are refined at each refinement step More... | |
| Public Attributes inherited from ParameterSampling.Interface | |
| sample | |
| matrix storing the parameter vectors in the parameter samples as row vectors. More... | |
Additional Inherited Members | |
| Protected Attributes inherited from ParameterSampling.Interface | |
| init_done = false | |
| boolean indicating whether the object has already been initialized by a call of init_sample(). More... | |
| ParameterSampling.Uniform.Uniform | ( | init_numintervals, | |
| log_distribution | |||
| ) |
constructor
| init_numintervals | vector or scalar determining how many equally distant vectors shall be added to the parameter sample in each direction. |
| log_distribution | boolean indicator determining whether a logarithmic function shall be applied on the uniform distribution of the parameter samples. |
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virtual |
returns the center of gravity of sample cells (in case the sample can be viewed as a grid)
Usually the center of gravity of grid cells is a new sample vector in case the element is refined.
| cogs | a matrix with sample vectors as row vectors |
Implements ParameterSampling.IRefineable.
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virtual |
returns \(\max_{v \in V(e)} \text{val}_v\) for each sample cell \(e\) (in case the sample can be viewed as a grid with vertices as sample vectors)
| values | values |
| max_vertex | vector of maxima as described above |
Implements ParameterSampling.IRefineable.
Definition at line 203 of file Uniform.m.
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virtual |
returns the number of refinement steps for each sample element
| level | a vector with number of refinement steps for each sample element |
Implements ParameterSampling.IRefineable.
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virtual |
initializes the parameter sampling object
| dmodel | object specifying how the high dimensional data can be computed. |
Implements ParameterSampling.Interface.
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virtual |
refines the object at the the given elements
At each refinement, the refined elements and the previous sample is added to the cell arrays sample_history and refined_elements
| elems | A vector of element indices to be refined |
| this | the updated object |
Implements ParameterSampling.IRefineable.
Definition at line 164 of file Uniform.m.
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virtual |
returns the number of parameter vectors in this sampling
| size | sample size |
Implements ParameterSampling.Interface.
Definition at line 153 of file Uniform.m.
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virtual |
determines for every sample element how often it was skipped during the last refinement steps.
| skips | a vector of the number of skips for each sample element. |
Implements ParameterSampling.IRefineable.
| ParameterSampling.Uniform.init_numintervals = 2 |
| ParameterSampling.Uniform.log_distribution = false |
| ParameterSampling.Uniform.sample |
matrix storing the parameter vectors in the parameter samples as row vectors.
Dependent set to true. SetAccess = Private, GetAccess = Public 
1.8.8