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MarcoArtianovchuravy
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some cleanup
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examples/trixi_rosenbrock.jl

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@@ -19,59 +19,15 @@ using CairoMakie
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@assert !Trixi._PREFERENCE_POLYESTER
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@assert !Trixi._PREFERENCE_LOOPVECTORIZATION
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using OrdinaryDiffEq
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using Trixi
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###############################################################################
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# semidiscretization of the linear advection equation
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advection_velocity = (0.2, -0.7)
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equations = LinearScalarAdvectionEquation2D(advection_velocity)
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# Create DG solver with polynomial degree = 3 and (local) Lax-Friedrichs/Rusanov flux as surface flux
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solver = DGSEM(polydeg = 3, surface_flux = flux_lax_friedrichs)
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coordinates_min = (-1.0, -1.0) # minimum coordinates (min(x), min(y))
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coordinates_max = (1.0, 1.0) # maximum coordinates (max(x), max(y))
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# Create a uniformly refined mesh with periodic boundaries
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mesh = TreeMesh(coordinates_min, coordinates_max,
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initial_refinement_level = 4,
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n_cells_max = 30_000) # set maximum capacity of tree data structure
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# A semidiscretization collects data structures and functions for the spatial discretization
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semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition_convergence_test,
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solver)
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###############################################################################
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# ODE solvers, callbacks etc.
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# Create ODE problem with time span from 0.0 to 1.0
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ode = semidiscretize(semi, (0.0, 1.0))
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# At the beginning of the main loop, the SummaryCallback prints a summary of the simulation setup
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# and resets the timers
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summary_callback = SummaryCallback()
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# The AnalysisCallback allows to analyse the solution in regular intervals and prints the results
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analysis_callback = AnalysisCallback(semi, interval = 100)
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# The SaveSolutionCallback allows to save the solution to a file in regular intervals
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save_solution = SaveSolutionCallback(interval = 100,
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solution_variables = cons2prim)
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# The StepsizeCallback handles the re-calculation of the maximum Δt after each time step
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# Create a CallbackSet to collect all callbacks such that they can be passed to the ODE solver
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callbacks = CallbackSet(summary_callback, analysis_callback, save_solution)
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trixi_include(joinpath(examples_dir(), "tree_2d_dgsem", "elixir_advection_basic.jl"), cfl = 10.0, sol = nothing);
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###############################################################################
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# run the simulation
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sol = solve(
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ode, Theseus.Rosenbrock();
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dt = 0.01, # solve needs some value here but it will be overwritten by the stepsize_callback
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ode_default_options()..., callback = callbacks,
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# verbose=1,
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krylov_algo = :gmres,
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);
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ode, Theseus.Rosenbrock();
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dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
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ode_default_options()..., callback = callbacks,
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# verbose=1,
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krylov_algo = :gmres,
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);

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