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file | riccati_assemble_system_matrices.m [code] |
| model_data)
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file | riccati_cost_functional.m [code] |
| [J,lQ] = riccati_cost_functional(model, model_data, sim)
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file | riccati_detailed_simulation.m [code] |
| sim_data = riccati_detailed_simulation(model, model_data)
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file | riccati_gamma.m [code] |
| This function calculates gamma. Simdata must be a high dimensional solution.
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file | riccati_gen_detailed_data.m [code] |
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file | riccati_gen_model_data.m [code] |
| RICCATI_GEN_MODEL_DATA.
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file | riccati_gen_reduced_data.m [code] |
| reduced_data = riccati_gen_reduced(model, detailed_data)
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file | riccati_kernel_functions.m [code] |
| Return the kernel for the interpolation between the gamma values TODO: Maybe move to a class in RB matlab...
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file | riccati_low_rank_factor_errors.m [code] |
| Calculate the projection error for all columns in the low rank factor in Z for the given basis V.
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file | riccati_model_default.m [code] |
| This model is the general model for the riccati type models for the linear dynamic system:
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file | riccati_rb_gamma.m [code] |
| [gamma] = riccati_rb_gamma(model, reduced_data, sim_data)
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file | riccati_rb_reconstruction.m [code] |
| Perform a reconstruction of the full dimensional solution.
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file | riccati_rb_simulation.m [code] |
| sim_data = riccati_rb_simulation(model, reduced_data) This function performs a reduced basis simulation. The solution to the reduced ARE is calculated by calling the function "care".
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file | riccati_reduced_cost_functional.m [code] |
| [Jred, lrQ] = riccati_reduced_cost_functional(model, reduced_data, varargin)
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file | riccati_residual_norm.m [code] |
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file | riccati_stability_constant.m [code] |
| This function can be used to calculate the stability constant for the model.
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file | riccati_validity_bound.m [code] |
| rbsim)
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