analyze_pickle¶

pymor-demo analyze_pickle COMMAND

This demo loads a pickled reduced model, solves for random parameters, estimates the reduction errors and then visualizes these estimates. If the detailed model and the reductor are also provided, the estimated error is visualized in comparison to the real reduction error.

The needed data files are created by the thermal block demo, by setting the ‘–pickle’ option.

Commands:

convergence: Generate convergence plot.
histogram: Generate histogram.

histogram¶

pymor-demo analyze_pickle histogram [OPTIONS] REDUCED_DATA SAMPLES

Generate histogram.

Arguments:

REDUCED_DATA: File containing the pickled reduced model. [Required]
SAMPLES: Number of parameter samples to test with. [Required]

Parameters:

--detailed-data: File containing the high-dimensional model and the reductor.
--error-norm: Name of norm in which to compute the errors.

convergence¶

pymor-demo analyze_pickle convergence [OPTIONS] REDUCED-DATA DETAILED-DATA SAMPLES

Generate convergence plot.

Parameters:

REDUCED-DATA, --reduced-data: File containing the pickled reduced model. [Required]
DETAILED-DATA, --detailed-data: File containing the high-dimensional model and the reductor. [Required]
SAMPLES, --samples: Number of parameter samples to test with. [Required]
--error-norm: Name of norm in which to compute the errors.
--ndim: Number of reduced basis dimensions for which to estimate the error.