generic_fem_model_adapter.m File Reference

Initializes a default linear and stationary model for more generic fem discretization by modifying model generated by lin_stat_model_default. More...

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Functions
function model =	generic_fem_model_adapter (model)
	Initializes a default linear and stationary model for more generic fem discretization by modifying model generated by lin_stat_model_default. More...
function detailed_data =	genericfemmodeladapter>gfem_model_set_rb (detailed_data, RB)

Detailed Description

Initializes a default linear and stationary model for more generic fem discretization by modifying model generated by lin_stat_model_default.

Definition in file generic_fem_model_adapter.m.

Function Documentation

function model = generic_fem_model_adapter

(

model

)

Initializes a default linear and stationary model for more generic fem discretization by modifying model generated by lin_stat_model_default.

model has to be a elliptic_discrete_model.

Parameters

model

model

Return values

model

model

Required fields of model:

• has_diffusivity —  has diffusivity
• has_advection —  has advection
• has_reaction —  has reaction
• has_source —  has source
• has_neumann_values —  has neumann values
• has_robin_values —  has robin values
• decomp_mode —  flag indicating the operation mode of the function:
  • 0 (complete) : no affine parameter dependence or decomposition is performed.
  • 1 (components) : for each output argument a cell array of output matrices is returned representing the \(q\)-th component independent of the parameters given in mu_names.
  • 2 (coefficients) : returns a vector where each coordinate represents the \(q\)-the coefficient \(\sigma_{\cdot}^{q}(\mu)\) dependent on the parameters given in mu_names.
• diffusivity_tensor —  diffusivity tensor
• velocity —  velocity
• reaction —  reaction
• source —  source
• neumann_values —  neumann values
• robin_values —  robin values

Generated fields of model:

• df_type —  df type
• gen_model_data —  gen model data
• detailed_simulation —  detailed simulation
• operators —  operators
• get_inner_product_matrix —  function W=f(model_data) returning the mass matrix \(W\) for inner product computation \(\langle u,v \rangle = u^t W v\).
• gen_reduced_data —  gen reduced data
• reduced_data_subset —  reduced data subset
• set_rb_in_detailed_data —  function detailed_data=f(detailed_data, newRB) updating the reduced basis vectors stored in detailed_data by assigning them to newRB.
• rb_simulation —  rb simulation
• rb_reconstruction —  rb reconstruction
• orthonormalize —  orthonormalize
• disable_caching —  disable caching
• has_nonlinearity —  has nonlinearity
• has_volume_integral_matrix —  has volume integral matrix
• matrix_volume_int_kernel —  matrix volume int kernel
• has_volume_integral_rhs —  has volume integral rhs
• rhs_volume_int_kernel —  rhs volume int kernel
• has_boundary_integral_matrix —  has boundary integral matrix
• matrix_boundary_int_kernel —  matrix boundary int kernel
• has_boundary_integral_rhs —  has boundary integral rhs
• rhs_boundary_int_kernel —  rhs boundary int kernel
• decomp_mode —  flag indicating the operation mode of the function:
  • 0 (complete) : no affine parameter dependence or decomposition is performed.
  • 1 (components) : for each output argument a cell array of output matrices is returned representing the \(q\)-th component independent of the parameters given in mu_names.
  • 2 (coefficients) : returns a vector where each coordinate represents the \(q\)-the coefficient \(\sigma_{\cdot}^{q}(\mu)\) dependent on the parameters given in mu_names.
• matrix_volume_coeffs —  matrix volume coeffs
• matrix_boundary_coeffs —  matrix boundary coeffs
• rhs_volume_coeffs —  rhs volume coeffs
• rhs_boundary_coeffs —  rhs boundary coeffs

Definition at line 17 of file generic_fem_model_adapter.m.

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