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DUBeat 1.0.1
High-order discontinuous Galerkin methods and applications to cardiac electrophysiology
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Variables | |
| errors = pd.read_csv("../errors_Laplace_3D_u.data", sep='\t') | |
| n = errors.shape[0] | |
| x = np.logspace(-2, -n, num=n, base=2.0) | |
| k = errors[0,0] | |
| ax = plt.axes() | |
| marker | |
| linestyle | |
| label | |
| generate_convergence_plots.ax = plt.axes() |
Definition at line 51 of file generate_convergence_plots.py.
| generate_convergence_plots.errors = pd.read_csv("../errors_Laplace_3D_u.data", sep='\t') |
Definition at line 37 of file generate_convergence_plots.py.
| generate_convergence_plots.k = errors[0,0] |
Definition at line 49 of file generate_convergence_plots.py.
| generate_convergence_plots.label |
Definition at line 52 of file generate_convergence_plots.py.
| generate_convergence_plots.linestyle |
Definition at line 52 of file generate_convergence_plots.py.
| generate_convergence_plots.marker |
Definition at line 52 of file generate_convergence_plots.py.
| generate_convergence_plots.n = errors.shape[0] |
Definition at line 41 of file generate_convergence_plots.py.
Definition at line 46 of file generate_convergence_plots.py.