method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm. More...
Go to the source code of this file.
Functions | |
function
reduced_data_subset = | lin_evol_reduced_data_subset (model, reduced_data) |
method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm. More... | |
method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm.
Definition in file lin_evol_reduced_data_subset.m.
function reduced_data_subset = lin_evol_reduced_data_subset | ( | model, | |
reduced_data | |||
) |
method which modifies reduced_data, which is the data, that will be passed to the online-simulation algorithm.
Typically, this routine only does a submatrix extraction of the Nmax
sized offline-objects to produce N
sized objects for the real simulation.
reduced_data_subset
are only generated if they exist in reduced_data
.model | model |
reduced_data | reduced data |
reduced_data_subset | reduced data subset |
N —
number of reduced basis vectors to chooseN —
number of reduced basis vectors in the reduced_data. T —
Tname_output_functional —
name of an output functionala0 —
a cell array sequence of N-vector components of initial data projection LL_E —
a cell array sequence of N x N component-Matrices of explicit operator evaluations. LL_I —
a cell array sequence of N x N component-Matrices of implicit operator evaluations. bb —
a cell array sequence of N-vector components of the offset bb_I —
a cell array sequence of N-vector components of the implicit offset K_II —
a cell array sequence sequence of N x N matrices K_IE —
a cell array sequence of N x N matrices K_EE —
a cell array sequence of N x N matrices m_I —
a cell array sequence of N-vector components of offset m_E —
a cell array sequence of N-vector components of offset m —
a cell array sequence of scalars (simply copied from reduced_data
) s_RB —
in case of a given output functional, this is a vector of output functional values of the reduced basis s_l2norm —
in case of a given output functional, this is the \(L^2\)-norm of the output functionala0 —
a cell array sequence of N-vector components of initial data projection LL_E —
a cell array sequence of N x N component-Matrices of explicit operator evaluations. LL_I —
a cell array sequence of N x N component-Matrices of implicit operator evaluations. bb —
a cell array sequence of N-vector components of the offset bb_I —
a cell array sequence of N-vector components of the implicit offset K_II —
a cell array sequence sequence of N x N matrices K_IE —
a cell array sequence of N x N matrices K_EE —
a cell array sequence of N x N matrices m_I —
a cell array sequence of N-vector components of offset m_E —
a cell array sequence of N-vector components of offset m —
a cell array sequence of scalars (simply copied from reduced_data
) s_RB —
in case of a given output functional, this is a vector of output functional values of the reduced basis s_l2norm —
in case of a given output functional, this is the \(L^2\)-norm of the output functional N —
number of reduced basis vectors in the reduced_data. T —
T Definition at line 17 of file lin_evol_reduced_data_subset.m.