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Peano
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Peano
|
Variables | |
| list | domain_size = [120.0, 120.0] |
| list | domain_offset = [-10.0, -60.0] |
| int | min_level = 5 |
| dict | unknowns = {"p": 1, "v": 2, "E": 1} |
| dict | auxiliary_variables = {} |
| float | max_h = 1.1 * min(domain_size) / (3.0**min_level) |
| float | min_h = max_h |
| my_solver | |
| initial_conditions | |
| boundary_conditions | |
| flux | |
| max_eigenvalue | |
| exahype2_project | |
| dimensions = 2 | |
| size = [1.0, 1.0, 1.0] | |
| offset = [0.0, 0.0, 0.0] | |
| min_end_time | |
| max_end_time | |
| first_plot_time_stamp | |
| time_in_between_plots | |
| periodic_BC | |
| peano4_project = exahype2_project.generate_Peano4_project() | |
| make | |
| True | |
| make_clean_first | |
| False | |
| throw_away_data_after_build | |
| int | patch_size = 16 |
| int | depth = 5 |
| float | end_time = 1.0 |
| float | time_in_between_two_snapshots = end_time / 10 |
| str | compile_mode = "Release" |
| my_project | |
| my_pde | |
| gamma = sympy.symbols("gamma") | |
| rho = my_pde.name_Q_entry(0, "rho") | |
| j = my_pde.name_Q_entries(1, dimensions, "j") | |
| E = my_pde.name_Q_entry(dimensions + 1, "E") | |
| tuple | p = (gamma - 1) * (E - 1 / 2 * symhype.dot(j, j) / rho) |
| c = sympy.sqrt(gamma * p / rho) | |
| u = j / rho | |
| volume_centre = sympy.sqrt((0.5 - my_pde.x[0]) ** 2 + (0.5 - my_pde.x[1]) ** 2) | |
| plot_description | |
| mode | |
| euler.E = my_pde.name_Q_entry(dimensions + 1, "E") |
| euler.exahype2_project |
| euler.j = my_pde.name_Q_entries(1, dimensions, "j") |
| float euler.max_h = 1.1 * min(domain_size) / (3.0**min_level) |
| euler.my_pde |
| euler.my_project |
| euler.my_solver |
| euler.peano4_project = exahype2_project.generate_Peano4_project() |
1.14.0