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eop_C_L_I.m File Reference

model = eop_C_L_I(model) More...

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Functions

function model = eop_C_L_I (model)
 model = eop_C_L_I(model) More...
 
function y = eopCLI>my_mult_for_L_I (x, L, K)
 

Detailed Description

model = eop_C_L_I(model)

Definition in file eop_C_L_I.m.

Function Documentation

function model = eop_C_L_I (   model)

model = eop_C_L_I(model)

function to compute and empirical continuousity constant of the Matrix L_I^-1 of a linear evolution scheme. Required for the nomal L2-error estimator.

Parameters
modelmodel
Return values
modelmodel
Required fields of model:
  • operators_ptr —  operators ptr
  • RB_numintervals —  RB numintervals
  • mu_ranges —  matrix storing the admissable ranges for parameter vector components. Each two dimensional column vector represents a range for a component specified by model.mu_names.
  • set_mu —  set mu
Generated fields of model:
  • 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.
  • L_I_inv_norm_bound —  L I inv norm bound

Definition at line 17 of file eop_C_L_I.m.

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