rbmatlab 0.10.01
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DataTree | |
Greedy | Customizable implementation of an abstract greedy algorithm |
Greedy.DataTree | DataTree implementation for generated detailed and reduced data |
Greedy.DataTree.Detailed | DataTree specialization for detailed data generated by a Greedy algorithm instance |
Greedy.DataTree.Reduced | DataTree specialization for reduced data constructed out of Greedy.DataTree.Detailed instances |
Greedy.Info | Information objects generated throught Greedy execution |
Greedy.Plugin | Specialization plugins for the greedy algorithm |
Greedy.User | Interface classes to be implemented by the Greedy.Algorithm user |
LinEvol | Reduced basis implementation for linear evolution equations |
LinStat | Reduced basis implementation for linear stationary PDEs |
NonlinEvol | Reduced basis implementation for non-linear evolution equations |
ParameterSampling | Parameter sampling sets |
Postprocess | Tools for post-processing data, i.e. data extraction and visual enhancements for publication |
Postprocess.StochasticAssessment | Tools for gathering and storing data from a huge set of randomly generated reduced simulations |
SnapshotsGenerator | Cacheable generators of detailed data snapshots |
Test | Test reduced basis implementation |